From 4907a66fc1f0d12b35da51af82468e6b7b0608b3 Mon Sep 17 00:00:00 2001 From: root Date: Tue, 10 Jan 2023 16:25:49 +0700 Subject: [PATCH] strategies --- strategies/BigZ06.py | 566 + strategies/BigZ07.py | 596 + strategies/E0V1E.py | 2617 +++ strategies/NostalgiaForInfinityX.py | 23206 +++++++++++++++++++++++++ strategies/NostalgiaForInfinityX2.py | 8390 +++++++++ strategies/ROuGGy.py | 595 + strategies/RSIDivergence.py | 568 + strategies/SwingHighToSky.py | 110 + strategies/sample_strategy.py | 404 + 9 files changed, 37052 insertions(+) create mode 100755 strategies/BigZ06.py create mode 100755 strategies/BigZ07.py create mode 100755 strategies/E0V1E.py create mode 100755 strategies/NostalgiaForInfinityX.py create mode 100755 strategies/NostalgiaForInfinityX2.py create mode 100755 strategies/ROuGGy.py create mode 100755 strategies/RSIDivergence.py create mode 100755 strategies/SwingHighToSky.py create mode 100755 strategies/sample_strategy.py diff --git a/strategies/BigZ06.py b/strategies/BigZ06.py new file mode 100755 index 0000000..8f424da --- /dev/null +++ b/strategies/BigZ06.py @@ -0,0 +1,566 @@ +import freqtrade.vendor.qtpylib.indicators as qtpylib +import numpy as np +import talib.abstract as ta +from freqtrade.persistence import Trade +from freqtrade.strategy.interface import IStrategy +from pandas import DataFrame +from datetime import datetime, timedelta +from freqtrade.strategy import merge_informative_pair, CategoricalParameter, DecimalParameter, IntParameter +from functools import reduce + + +########################################################################################################### +## BigZ06 by ilya ## +## ## +## https://github.com/i1ya/freqtrade-strategies ## +## The stratagy most inspired by iterativ (authors of the CombinedBinHAndClucV6) ## +## ## ## +########################################################################################################### +## The main point of this strat is: ## +## - make drawdown as low as possible ## +## - buy at dip ## +## - sell quick as fast as you can (release money for the next buy) ## +## - soft check if market if rising ## +## - hard check is market if fallen ## +## - 14 buy signals ## +## - stoploss function preventing from big fall ## +## - no sell signal. Whether ROI or stoploss =) ## +## ## +########################################################################################################### +## GENERAL RECOMMENDATIONS ## +## ## +## For optimal performance, suggested to use between 3 and 5 open trades. ## +## ## +## As a pairlist you can use VolumePairlist. ## +## ## +## Ensure that you don't override any variables in your config.json. Especially ## +## the timeframe (must be 5m). ## +## ## +## sell_profit_only: ## +## True - risk more (gives you higher profit and higher Drawdown) ## +## False (default) - risk less (gives you less ~10-15% profit and much lower Drawdown) ## +## ## +## BigZ06 using market orders. ## +## Ensure you're familar with https://www.freqtrade.io/en/stable/configuration/#market-order-pricing ## +## ## +########################################################################################################### +## DONATIONS 2 @iterativ (author of the original strategy) ## +## ## +## Absolutely not required. However, will be accepted as a token of appreciation. ## +## ## +## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## +## ETH: 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## +## ## +########################################################################################################### + + +class BigZ06(IStrategy): + INTERFACE_VERSION = 2 + + minimal_roi = { + "0": 0.028, # I feel lucky! + "10": 0.018, + "40": 0.005, + "180": 0.018, # We're going up? + } + + + stoploss = -0.99 # effectively disabled. + + timeframe = '5m' + inf_1h = '1h' + + # Sell signal + use_exit_signal = True + exit_profit_only = False + exit_profit_offset = 0.001 # it doesn't meant anything, just to guarantee there is a minimal profit. + ignore_roi_if_entry_signal = False + + # Trailing stoploss + trailing_stop = False + trailing_only_offset_is_reached = False + trailing_stop_positive = 0.01 + trailing_stop_positive_offset = 0.025 + + # Custom stoploss + use_custom_stoploss = True + + # Run "populate_indicators()" only for new candle. + process_only_new_candles = True + + # Number of candles the strategy requires before producing valid signals + startup_candle_count: int = 200 + + # Optional order type mapping. + order_types = { + 'entry': 'market', + 'exit': 'market', + 'stoploss': 'market', + 'stoploss_on_exchange': False + } + + + buy_params = { + ############# + # Enable/Disable conditions + "buy_condition_0_enable": True, + "buy_condition_1_enable": True, + "buy_condition_2_enable": True, + "buy_condition_3_enable": True, + "buy_condition_4_enable": True, + "buy_condition_5_enable": True, + "buy_condition_6_enable": True, + "buy_condition_7_enable": True, + "buy_condition_8_enable": True, + "buy_condition_9_enable": True, + "buy_condition_10_enable": True, + "buy_condition_11_enable": True, + "buy_condition_12_enable": True, + "buy_condition_13_enable": True, + } + + ############################################################################ + + # Buy + + buy_condition_0_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_1_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_2_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_3_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_4_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_5_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_6_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_7_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_8_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_9_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_10_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_11_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_12_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_13_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + + buy_bb20_close_bblowerband_safe_1 = DecimalParameter(0.7, 1.1, default=0.989, space='buy', optimize=False, load=True) + buy_bb20_close_bblowerband_safe_2 = DecimalParameter(0.7, 1.1, default=0.982, space='buy', optimize=False, load=True) + + buy_volume_pump_1 = DecimalParameter(0.1, 0.9, default=0.4, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_1 = DecimalParameter(1, 10, default=3.8, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_2 = DecimalParameter(1, 10, default=3, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_3 = DecimalParameter(1, 10, default=2.7, space='buy', decimals=1, optimize=False, load=True) + + buy_rsi_1h_1 = DecimalParameter(10.0, 40.0, default=16.5, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_2 = DecimalParameter(10.0, 40.0, default=15.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_3 = DecimalParameter(10.0, 40.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_4 = DecimalParameter(10.0, 40.0, default=35.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_5 = DecimalParameter(10.0, 60.0, default=39.0, space='buy', decimals=1, optimize=False, load=True) + + buy_rsi_1 = DecimalParameter(10.0, 40.0, default=28.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_2 = DecimalParameter(7.0, 40.0, default=10.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_3 = DecimalParameter(7.0, 40.0, default=14.2, space='buy', decimals=1, optimize=False, load=True) + + buy_macd_1 = DecimalParameter(0.01, 0.09, default=0.02, space='buy', decimals=2, optimize=False, load=True) + buy_macd_2 = DecimalParameter(0.01, 0.09, default=0.03, space='buy', decimals=2, optimize=False, load=True) + + def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float, + rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool: + + return True + + + def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, + current_profit: float, **kwargs): + + return False + + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + last_candle = dataframe.iloc[-1].squeeze() + last_candle_2 = dataframe.iloc[-2].squeeze() + + if (last_candle is not None): + if (last_candle['high'] > last_candle['bb_upperband']) & (last_candle['volume'] > (last_candle_2['volume'] * 1.5)): + return 'sell_signal_1' + + return False + + + def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime, + current_rate: float, current_profit: float, **kwargs) -> float: + # Manage losing trades and open room for better ones. + + if (current_profit > 0): + return 0.99 + else: + trade_time_50 = trade.open_date_utc + timedelta(minutes=50) + + # Trade open more then 60 minutes. For this strategy it's means -> loss + # Let's try to minimize the loss + + if (current_time > trade_time_50): + + try: + number_of_candle_shift = int((current_time - trade_time_50).total_seconds() / 300) + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + candle = dataframe.iloc[-number_of_candle_shift].squeeze() + + # We are at bottom. Wait... + if candle['rsi_1h'] < 40: + return 0.99 + + # Are we still sinking? + if candle['close'] > candle['ema_200']: + if current_rate * 1.035 < candle['open']: + return 0.01 + + if current_rate * 1.025 < candle['open']: + return 0.01 + + except IndexError as error: + + # Whoops, set stoploss at 10% + return 0.1 + + return 0.99 + + def informative_pairs(self): + pairs = self.dp.current_whitelist() + informative_pairs = [(pair, '1h') for pair in pairs] + return informative_pairs + + def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.inf_1h) + # EMA + informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) + informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) + # RSI + informative_1h['rsi'] = ta.RSI(informative_1h, timeperiod=14) + + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + informative_1h['bb_lowerband'] = bollinger['lower'] + informative_1h['bb_middleband'] = bollinger['mid'] + informative_1h['bb_upperband'] = bollinger['upper'] + + return informative_1h + + def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + dataframe['bb_lowerband'] = bollinger['lower'] + dataframe['bb_middleband'] = bollinger['mid'] + dataframe['bb_upperband'] = bollinger['upper'] + + dataframe['volume_mean_slow'] = dataframe['volume'].rolling(window=48).mean() + + # EMA + dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200) + + dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26) + dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) + + # MACD + dataframe['macd'], dataframe['signal'], dataframe['hist'] = ta.MACD(dataframe['close'], fastperiod=12, slowperiod=26, signalperiod=9) + + # SMA + dataframe['sma_5'] = ta.EMA(dataframe, timeperiod=5) + + # RSI + dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) + + # Chaikin A/D Oscillator + dataframe['mfv'] = MFV(dataframe) + dataframe['cmf'] = dataframe['mfv'].rolling(20).sum()/dataframe['volume'].rolling(20).sum() + + return dataframe + + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + # The indicators for the 1h informative timeframe + informative_1h = self.informative_1h_indicators(dataframe, metadata) + dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.inf_1h, ffill=True) + + # The indicators for the normal (5m) timeframe + dataframe = self.normal_tf_indicators(dataframe, metadata) + + return dataframe + + def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + conditions = [] + + conditions.append( + ( + self.buy_condition_13_enable.value & + + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['cmf'] < -0.435) & + (dataframe['rsi'] < 22) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) + ) + ) + + + conditions.append( + ( + self.buy_condition_12_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * 0.993) & + (dataframe['low'] < dataframe['bb_lowerband'] * 0.985) & + (dataframe['close'].shift() > dataframe['bb_lowerband']) & + (dataframe['rsi_1h'] < 72.8) & + (dataframe['open'] > dataframe['close']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + ((dataframe['open'] - dataframe['close']) < dataframe['bb_upperband'].shift(2) - dataframe['bb_lowerband'].shift(2)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_11_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['hist'] > 0) & + (dataframe['hist'].shift() > 0) & + (dataframe['hist'].shift(2) > 0) & + (dataframe['hist'].shift(3) > 0) & + (dataframe['hist'].shift(5) > 0) & + + (dataframe['bb_middleband'] - dataframe['bb_middleband'].shift(5) > dataframe['close']/200) & + (dataframe['bb_middleband'] - dataframe['bb_middleband'].shift(10) > dataframe['close']/100) & + ((dataframe['bb_upperband'] - dataframe['bb_lowerband']) < (dataframe['close']*0.1)) & + ((dataframe['open'].shift() - dataframe['close'].shift()) < (dataframe['close'] * 0.018)) & + (dataframe['rsi'] > 51) & + + (dataframe['open'] < dataframe['close']) & + (dataframe['open'].shift() > dataframe['close'].shift()) & + + (dataframe['close'] > dataframe['bb_middleband']) & + (dataframe['close'].shift() < dataframe['bb_middleband'].shift()) & + (dataframe['low'].shift(2) > dataframe['bb_middleband'].shift(2)) & + + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_0_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['rsi'] < 30) & + (dataframe['close'] * 1.024 < dataframe['open'].shift(3)) & + (dataframe['rsi_1h'] < 71) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_1_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb20_close_bblowerband_safe_1.value) & + (dataframe['rsi_1h'] < 69) & + (dataframe['open'] > dataframe['close']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + ((dataframe['open'] - dataframe['close']) < dataframe['bb_upperband'].shift(2) - dataframe['bb_lowerband'].shift(2)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_2_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb20_close_bblowerband_safe_2.value) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['open'] - dataframe['close'] < dataframe['bb_upperband'].shift(2) - dataframe['bb_lowerband'].shift(2)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_3_enable.value & + + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband']) & + (dataframe['rsi'] < self.buy_rsi_3.value) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_3.value)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_4_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_1.value) & + + (dataframe['close'] < dataframe['bb_lowerband']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_5_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_1.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open']/100)) & + (dataframe['close'] < (dataframe['bb_lowerband'])) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_6_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_5.value) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_2.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open']/100)) & + (dataframe['close'] < (dataframe['bb_lowerband'])) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_7_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_2.value) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_1.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open']/100)) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) + ) + ) + + + conditions.append( + ( + + self.buy_condition_8_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_3.value) & + (dataframe['rsi'] < self.buy_rsi_1.value) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + + self.buy_condition_9_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_4.value) & + (dataframe['rsi'] < self.buy_rsi_2.value) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + + self.buy_condition_10_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_4.value) & + (dataframe['close_1h'] < dataframe['bb_lowerband_1h']) & + + (dataframe['hist'] > 0) & + (dataframe['hist'].shift(2) < 0) & + (dataframe['rsi'] < 40.5) & + (dataframe['hist'] > dataframe['close'] * 0.0012) & + (dataframe['open'] < dataframe['close']) & + + (dataframe['volume'] > 0) + ) + ) + + if conditions: + dataframe.loc[ + reduce(lambda x, y: x | y, conditions), + 'buy' + ] = 1 + + return dataframe + + def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + dataframe.loc[ + ( + (dataframe['close'] > dataframe['bb_middleband'] * 1.01) & # Don't be gready, sell fast + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + , + 'sell' + ] = 0 + return dataframe + +# Chaikin Money Flow Volume +def MFV(dataframe): + df = dataframe.copy() + N = ((df['close'] - df['low']) - (df['high'] - df['close'])) / (df['high'] - df['low']) + M = N * df['volume'] + return M diff --git a/strategies/BigZ07.py b/strategies/BigZ07.py new file mode 100755 index 0000000..89e1a88 --- /dev/null +++ b/strategies/BigZ07.py @@ -0,0 +1,596 @@ +import freqtrade.vendor.qtpylib.indicators as qtpylib +import numpy as np +import talib.abstract as ta +from freqtrade.persistence import Trade +from freqtrade.strategy.interface import IStrategy +from pandas import DataFrame +from datetime import datetime, timedelta +from freqtrade.strategy import merge_informative_pair, CategoricalParameter, DecimalParameter, IntParameter +from functools import reduce + + +########################################################################################################### +## BigZ07 by ilya ## +## ## +## https://github.com/i1ya/freqtrade-strategies ## +## The stratagy most inspired by iterativ (authors of the CombinedBinHAndClucV6) ## +## ## ## +########################################################################################################### +## The main point of this strat is: ## +## - make drawdown as low as possible ## +## - buy at dip ## +## - sell quick as fast as you can (release money for the next buy) ## +## - soft check if market if rising ## +## - hard check is market if fallen ## +## - 14 buy signals ## +## - stoploss function preventing from big fall ## +## - no sell signal. Whether ROI or stoploss =) ## +## ## +########################################################################################################### +## GENERAL RECOMMENDATIONS ## +## ## +## For optimal performance, suggested to use between 3 and 5 open trades. ## +## ## +## As a pairlist you can use VolumePairlist. ## +## ## +## Ensure that you don't override any variables in your config.json. Especially ## +## the timeframe (must be 5m). ## +## ## +## sell_profit_only: ## +## True - risk more (gives you higher profit and higher Drawdown) ## +## False (default) - risk less (gives you less ~10-15% profit and much lower Drawdown) ## +## ## +## BigZ06 using market orders. ## +## Ensure you're familar with https://www.freqtrade.io/en/stable/configuration/#market-order-pricing ## +## ## +########################################################################################################### +## DONATIONS 2 @iterativ (author of the original strategy) ## +## ## +## Absolutely not required. However, will be accepted as a token of appreciation. ## +## ## +## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## +## ETH: 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## +## ## +########################################################################################################### + + +class BigZ07(IStrategy): + INTERFACE_VERSION = 2 + + minimal_roi = { + "0": 0.028, # I feel lucky! + "10": 0.018, + "40": 0.005, + "180": 0.018, # We're going up? + } + + stoploss = -0.99 # effectively disabled. + + timeframe = '5m' + inf_1h = '1h' + + # Sell signal + use_sell_signal = True + sell_profit_only = False + sell_profit_offset = 0.001 # it doesn't meant anything, just to guarantee there is a minimal profit. + ignore_roi_if_buy_signal = False + + # Trailing stoploss + trailing_stop = False + trailing_only_offset_is_reached = False + trailing_stop_positive = 0.01 + trailing_stop_positive_offset = 0.025 + + # Custom stoploss + use_custom_stoploss = True + + # Run "populate_indicators()" only for new candle. + process_only_new_candles = True + + # Number of candles the strategy requires before producing valid signals + startup_candle_count: int = 200 + + # Optional order type mapping. + order_types = { + 'buy': 'market', + 'sell': 'market', + 'stoploss': 'market', + 'stoploss_on_exchange': False + } + + buy_params = { + ############# + # Enable/Disable conditions + "buy_condition_0_enable": True, + "buy_condition_1_enable": True, + "buy_condition_2_enable": True, + "buy_condition_3_enable": True, + "buy_condition_4_enable": True, + "buy_condition_5_enable": True, + "buy_condition_6_enable": True, + "buy_condition_7_enable": True, + "buy_condition_8_enable": True, + "buy_condition_9_enable": True, + "buy_condition_10_enable": True, + "buy_condition_11_enable": True, + "buy_condition_12_enable": True, + "buy_condition_13_enable": True, + } + + ############################################################################ + + # Buy + + buy_condition_0_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_1_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_2_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_3_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_4_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_5_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_6_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_7_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_8_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_9_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_10_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_11_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_12_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_13_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + + buy_bb20_close_bblowerband_safe_1 = DecimalParameter(0.7, 1.1, default=0.989, space='buy', optimize=False, + load=True) + buy_bb20_close_bblowerband_safe_2 = DecimalParameter(0.7, 1.1, default=0.982, space='buy', optimize=False, + load=True) + + buy_volume_pump_1 = DecimalParameter(0.1, 0.9, default=0.4, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_1 = DecimalParameter(1, 10, default=3.8, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_2 = DecimalParameter(1, 10, default=3, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_3 = DecimalParameter(1, 10, default=2.7, space='buy', decimals=1, optimize=False, load=True) + + buy_rsi_1h_1 = DecimalParameter(10.0, 40.0, default=16.5, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_2 = DecimalParameter(10.0, 40.0, default=15.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_3 = DecimalParameter(10.0, 40.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_4 = DecimalParameter(10.0, 40.0, default=35.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_5 = DecimalParameter(10.0, 60.0, default=39.0, space='buy', decimals=1, optimize=False, load=True) + + buy_rsi_1 = DecimalParameter(10.0, 40.0, default=28.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_2 = DecimalParameter(7.0, 40.0, default=10.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_3 = DecimalParameter(7.0, 40.0, default=14.2, space='buy', decimals=1, optimize=False, load=True) + + buy_macd_1 = DecimalParameter(0.01, 0.09, default=0.02, space='buy', decimals=2, optimize=False, load=True) + buy_macd_2 = DecimalParameter(0.01, 0.09, default=0.03, space='buy', decimals=2, optimize=False, load=True) + + def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float, + rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool: + + return True + + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + last_candle = dataframe.iloc[-1].squeeze() + last_candle_1 = dataframe.iloc[-2].squeeze() + + if (sell_reason == 'roi'): + # Looks like we can get a little have more + if (last_candle['cmf'] < -0.1) & (last_candle['close'] > last_candle['ema_200_1h']): + return False + + return True + + def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, + current_profit: float, **kwargs): + + return False + + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + last_candle = dataframe.iloc[-1].squeeze() + last_candle_2 = dataframe.iloc[-2].squeeze() + + if (last_candle is not None): + if (last_candle['high'] > last_candle['bb_upperband']) & ( + last_candle['volume'] > (last_candle_2['volume'] * 1.5)): + return 'sell_signal_1' + + return False + + def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime, + current_rate: float, current_profit: float, **kwargs) -> float: + # Manage losing trades and open room for better ones. + + if (current_profit > 0): + return 0.99 + else: + trade_time_50 = trade.open_date_utc + timedelta(minutes=50) + + # Trade open more then 60 minutes. For this strategy it's means -> loss + # Let's try to minimize the loss + + if (current_time > trade_time_50): + + try: + number_of_candle_shift = int((current_time - trade_time_50).total_seconds() / 300) + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + candle = dataframe.iloc[-number_of_candle_shift].squeeze() + + # We are at bottom. Wait... + if candle['rsi_1h'] < 40: + return 0.99 + + if candle['open_1h'] > candle['ema_200_1h']: + return 0.1 + + # Are we still sinking? + if current_rate * 1.025 < candle['open']: + return 0.01 + + except IndexError as error: + + # Whoops, set stoploss at 10% + return 0.1 + + return 0.99 + + def informative_pairs(self): + pairs = self.dp.current_whitelist() + informative_pairs = [(pair, '1h') for pair in pairs] + return informative_pairs + + def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.inf_1h) + # EMA + informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) + informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) + # RSI + informative_1h['rsi'] = ta.RSI(informative_1h, timeperiod=14) + + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + informative_1h['bb_lowerband'] = bollinger['lower'] + informative_1h['bb_middleband'] = bollinger['mid'] + informative_1h['bb_upperband'] = bollinger['upper'] + + return informative_1h + + def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + dataframe['bb_lowerband'] = bollinger['lower'] + dataframe['bb_middleband'] = bollinger['mid'] + dataframe['bb_upperband'] = bollinger['upper'] + + dataframe['volume_mean_slow'] = dataframe['volume'].rolling(window=48).mean() + + # EMA + dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200) + + dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26) + dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) + + # MACD + dataframe['macd'], dataframe['signal'], dataframe['hist'] = ta.MACD(dataframe['close'], fastperiod=12, + slowperiod=26, signalperiod=9) + + # RSI + dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) + + # Chaikin A/D Oscillator + dataframe['mfv'] = MFV(dataframe) + dataframe['cmf'] = dataframe['mfv'].rolling(20).sum() / dataframe['volume'].rolling(20).sum() + + return dataframe + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + # The indicators for the 1h informative timeframe + informative_1h = self.informative_1h_indicators(dataframe, metadata) + dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.inf_1h, ffill=True) + + # The indicators for the normal (5m) timeframe + dataframe = self.normal_tf_indicators(dataframe, metadata) + + return dataframe + + def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + conditions = [] + + conditions.append( + ( + self.buy_condition_13_enable.value & + + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['cmf'] < -0.435) & + (dataframe['rsi'] < 22) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_12_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * 0.993) & + (dataframe['low'] < dataframe['bb_lowerband'] * 0.985) & + (dataframe['close'].shift() > dataframe['bb_lowerband']) & + (dataframe['rsi_1h'] < 72.8) & + (dataframe['open'] > dataframe['close']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + ((dataframe['open'] - dataframe['close']) < dataframe['bb_upperband'].shift(2) - dataframe[ + 'bb_lowerband'].shift(2)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_11_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['hist'] > 0) & + (dataframe['hist'].shift() > 0) & + (dataframe['hist'].shift(2) > 0) & + (dataframe['hist'].shift(3) > 0) & + (dataframe['hist'].shift(5) > 0) & + + (dataframe['bb_middleband'] - dataframe['bb_middleband'].shift(5) > dataframe['close'] / 200) & + (dataframe['bb_middleband'] - dataframe['bb_middleband'].shift(10) > dataframe['close'] / 100) & + ((dataframe['bb_upperband'] - dataframe['bb_lowerband']) < (dataframe['close'] * 0.1)) & + ((dataframe['open'].shift() - dataframe['close'].shift()) < (dataframe['close'] * 0.018)) & + (dataframe['rsi'] > 51) & + + (dataframe['open'] < dataframe['close']) & + (dataframe['open'].shift() > dataframe['close'].shift()) & + + (dataframe['close'] > dataframe['bb_middleband']) & + (dataframe['close'].shift() < dataframe['bb_middleband'].shift()) & + (dataframe['low'].shift(2) > dataframe['bb_middleband'].shift(2)) & + + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_0_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['rsi'] < 30) & + (dataframe['close'] * 1.024 < dataframe['open'].shift(3)) & + (dataframe['rsi_1h'] < 71) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_1_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb20_close_bblowerband_safe_1.value) & + (dataframe['rsi_1h'] < 69) & + (dataframe['open'] > dataframe['close']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + ((dataframe['open'] - dataframe['close']) < dataframe['bb_upperband'].shift(2) - dataframe[ + 'bb_lowerband'].shift(2)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_2_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb20_close_bblowerband_safe_2.value) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['open'] - dataframe['close'] < dataframe['bb_upperband'].shift(2) - dataframe[ + 'bb_lowerband'].shift(2)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_3_enable.value & + + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband']) & + (dataframe['rsi'] < self.buy_rsi_3.value) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_3.value)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_4_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_1.value) & + + (dataframe['close'] < dataframe['bb_lowerband']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_5_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_1.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) & + (dataframe['close'] < (dataframe['bb_lowerband'])) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_6_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_5.value) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_2.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) & + (dataframe['close'] < (dataframe['bb_lowerband'])) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_7_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_2.value) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_1.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + + self.buy_condition_8_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_3.value) & + (dataframe['rsi'] < self.buy_rsi_1.value) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + + self.buy_condition_9_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_4.value) & + (dataframe['rsi'] < self.buy_rsi_2.value) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift( + 48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift( + 48)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + + self.buy_condition_10_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_4.value) & + (dataframe['close_1h'] < dataframe['bb_lowerband_1h']) & + + (dataframe['hist'] > 0) & + (dataframe['hist'].shift(2) < 0) & + (dataframe['rsi'] < 40.5) & + (dataframe['hist'] > dataframe['close'] * 0.0012) & + (dataframe['open'] < dataframe['close']) & + + (dataframe['volume'] > 0) + ) + ) + + if conditions: + dataframe.loc[ + reduce(lambda x, y: x | y, conditions), + 'buy' + ] = 1 + + return dataframe + + def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + dataframe.loc[ + ( + (dataframe['close'] > dataframe['bb_middleband'] * 1.01) & # Don't be gready, sell fast + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + , + 'sell' + ] = 0 + return dataframe + + +# Chaikin Money Flow Volume +def MFV(dataframe): + df = dataframe.copy() + N = ((df['close'] - df['low']) - (df['high'] - df['close'])) / (df['high'] - df['low']) + M = N * df['volume'] + return M \ No newline at end of file diff --git a/strategies/E0V1E.py b/strategies/E0V1E.py new file mode 100755 index 0000000..31be805 --- /dev/null +++ b/strategies/E0V1E.py @@ -0,0 +1,2617 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + freqtrade_strs/E0V1E.py at main · ssssi/freqtrade_strs · GitHub + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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from datetime import datetime, timedelta
from typing import Optional, Union
import freqtrade.vendor.qtpylib.indicators as qtpylib
import talib.abstract as ta
import pandas_ta as pta
from freqtrade.persistence import Trade
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
from freqtrade.strategy import DecimalParameter, IntParameter
from functools import reduce
+
+
def ewo(dataframe, ema_length=5, ema2_length=35):
df = dataframe.copy()
ema1 = ta.EMA(df, timeperiod=ema_length)
ema2 = ta.EMA(df, timeperiod=ema2_length)
emadif = (ema1 - ema2) / df['low'] * 100
return emadif
+
+
class E0V1E(IStrategy):
minimal_roi = {
"0": 10
}
+
# Optimal timeframe for the strategy
timeframe = '5m'
+
# Run "populate_indicators()" only for new candle.
process_only_new_candles = True
startup_candle_count = 20
+
order_types = {
'entry': 'market',
'exit': 'market',
'emergency_exit': 'market',
'force_entry': 'market',
'force_exit': "market",
'stoploss': 'market',
'stoploss_on_exchange': False,
+
'stoploss_on_exchange_interval': 60,
'stoploss_on_exchange_market_ratio': 0.99
}
+
# Disabled
stoploss = -0.99
+
# Custom stoploss
use_custom_stoploss = True
+
is_optimize_ewo = True
buy_rsi_fast = IntParameter(35, 50, default=45, space='buy', optimize=is_optimize_ewo)
buy_rsi = IntParameter(15, 35, default=35, space='buy', optimize=is_optimize_ewo)
buy_ewo = DecimalParameter(-6.0, 5, default=-5.585, space='buy', optimize=is_optimize_ewo)
buy_ema_low = DecimalParameter(0.9, 0.99, default=0.942, space='buy', optimize=is_optimize_ewo)
buy_ema_high = DecimalParameter(0.95, 1.2, default=1.084, space='buy', optimize=is_optimize_ewo)
+
is_optimize_32 = True
buy_rsi_fast_32 = IntParameter(20, 70, default=46, space='buy', optimize=is_optimize_32)
buy_rsi_32 = IntParameter(15, 50, default=19, space='buy', optimize=is_optimize_32)
buy_sma15_32 = DecimalParameter(0.900, 1, default=0.942, decimals=3, space='buy', optimize=is_optimize_32)
buy_cti_32 = DecimalParameter(-1, 0, default=-0.86, decimals=2, space='buy', optimize=is_optimize_32)
+
is_optimize_deadfish = True
sell_deadfish_bb_width = DecimalParameter(0.03, 0.75, default=0.05, space='sell', optimize=is_optimize_deadfish)
sell_deadfish_profit = DecimalParameter(-0.15, -0.05, default=-0.05, space='sell', optimize=is_optimize_deadfish)
sell_deadfish_bb_factor = DecimalParameter(0.90, 1.20, default=1.0, space='sell', optimize=is_optimize_deadfish)
sell_deadfish_volume_factor = DecimalParameter(1, 2.5, default=1.0, space='sell', optimize=is_optimize_deadfish)
+
sell_fastx = IntParameter(50, 100, default=75, space='sell', optimize=True)
delay_time = IntParameter(90, 1440, default=300, space='sell', optimize=True)
fask_trailing = DecimalParameter(0.001, 0.02, default=0.001, space='sell', optimize=True)
+
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
# buy_1 indicators
dataframe['sma_15'] = ta.SMA(dataframe, timeperiod=15)
dataframe['cti'] = pta.cti(dataframe["close"], length=20)
dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
dataframe['rsi_fast'] = ta.RSI(dataframe, timeperiod=4)
dataframe['rsi_slow'] = ta.RSI(dataframe, timeperiod=20)
+
# ewo indicators
dataframe['ema_8'] = ta.EMA(dataframe, timeperiod=8)
dataframe['ema_16'] = ta.EMA(dataframe, timeperiod=16)
dataframe['EWO'] = ewo(dataframe, 50, 200)
+
# profit sell indicators
stoch_fast = ta.STOCHF(dataframe, 5, 3, 0, 3, 0)
dataframe['fastd'] = stoch_fast['fastd']
dataframe['fastk'] = stoch_fast['fastk']
+
# loss sell indicators
bollinger2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
dataframe['bb_lowerband2'] = bollinger2['lower']
dataframe['bb_middleband2'] = bollinger2['mid']
dataframe['bb_upperband2'] = bollinger2['upper']
+
dataframe['bb_width'] = (
(dataframe['bb_upperband2'] - dataframe['bb_lowerband2']) / dataframe['bb_middleband2'])
+
dataframe['volume_mean_12'] = dataframe['volume'].rolling(12).mean().shift(1)
dataframe['volume_mean_24'] = dataframe['volume'].rolling(24).mean().shift(1)
+
return dataframe
+
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
conditions = []
dataframe.loc[:, 'enter_tag'] = ''
+
is_ewo = (
(dataframe['rsi_fast'] < self.buy_rsi_fast.value) &
(dataframe['close'] < dataframe['ema_8'] * self.buy_ema_low.value) &
(dataframe['EWO'] > self.buy_ewo.value) &
(dataframe['close'] < dataframe['ema_16'] * self.buy_ema_high.value) &
(dataframe['rsi'] < self.buy_rsi.value)
)
+
buy_1 = (
(dataframe['rsi_slow'] < dataframe['rsi_slow'].shift(1)) &
(dataframe['rsi_fast'] < self.buy_rsi_fast_32.value) &
(dataframe['rsi'] > self.buy_rsi_32.value) &
(dataframe['close'] < dataframe['sma_15'] * self.buy_sma15_32.value) &
(dataframe['cti'] < self.buy_cti_32.value)
)
+
conditions.append(is_ewo)
dataframe.loc[is_ewo, 'enter_tag'] += 'ewo'
+
conditions.append(buy_1)
dataframe.loc[buy_1, 'enter_tag'] += 'buy_1'
+
if conditions:
dataframe.loc[
reduce(lambda x, y: x | y, conditions),
'enter_long'] = 1
+
return dataframe
+
def custom_stoploss(self, pair: str, trade: Trade, current_time: datetime, current_rate: float,
current_profit: float, **kwargs) -> float:
+
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
current_candle = dataframe.iloc[-1].squeeze()
+
if current_time - timedelta(minutes=int(self.delay_time.value)) > trade.open_date_utc:
if current_profit >= -0.01:
return -0.003
+
if current_time - timedelta(minutes=int(self.delay_time.value) * 2) > trade.open_date_utc:
if current_profit >= -0.02:
return -0.006
+
# if hold > 1 day.sell in stoploss -0.05
if current_time - timedelta(days=1) > trade.open_date_utc:
if current_profit >= -0.05:
return -0.001
+
enter_tag = ''
if hasattr(trade, 'enter_tag') and trade.enter_tag is not None:
enter_tag = trade.enter_tag
enter_tags = enter_tag.split()
+
if "ewo" in enter_tags:
if current_profit >= 0.05:
return -0.015
+
if current_profit > 0:
if current_candle["fastk"] > self.sell_fastx.value:
return self.fask_trailing.value
+
return self.stoploss
+
def custom_exit(self, pair: str, trade: Trade, current_time: datetime, current_rate: float,
current_profit: float, **kwargs) -> Optional[Union[str, bool]]:
+
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
current_candle = dataframe.iloc[-1].squeeze()
+
# stoploss - deadfish
if ((current_profit < self.sell_deadfish_profit.value)
and (current_candle['bb_width'] < self.sell_deadfish_bb_width.value)
and (current_candle['close'] > current_candle['bb_middleband2'] * self.sell_deadfish_bb_factor.value)
and (current_candle['volume_mean_12'] < current_candle[
'volume_mean_24'] * self.sell_deadfish_volume_factor.value)):
return "sell_stoploss_deadfish"
+
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
dataframe.loc[(), ['exit_long', 'exit_tag']] = (0, 'long_out')
+
return dataframe
+
+ + + +
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+ +
+ + + diff --git a/strategies/NostalgiaForInfinityX.py b/strategies/NostalgiaForInfinityX.py new file mode 100755 index 0000000..13efdd5 --- /dev/null +++ b/strategies/NostalgiaForInfinityX.py @@ -0,0 +1,23206 @@ +import copy +import logging +import pathlib +import rapidjson +import freqtrade.vendor.qtpylib.indicators as qtpylib +import numpy as np +import talib.abstract as ta +import pandas as pd +from freqtrade.strategy.interface import IStrategy +from freqtrade.strategy import merge_informative_pair, timeframe_to_minutes +from freqtrade.exchange import timeframe_to_prev_date +from pandas import DataFrame, Series, concat +from functools import reduce +import math +from typing import Dict, Optional +from freqtrade.persistence import Trade, LocalTrade +from datetime import datetime, timedelta +from technical.util import resample_to_interval, resampled_merge +from technical.indicators import RMI, zema, VIDYA, ichimoku +import time +import warnings +import re + +log = logging.getLogger(__name__) +leverage_pattern = ".*(_PREMIUM|BEAR|BULL|DOWN|HALF|HEDGE|UP|[1235][SL]|-PERP|BVOL|IBVOL)/.*" +leverage_pattern_long = ".*(BULL|UP|[1235]L)/.*" +#log.setLevel(logging.DEBUG) +warnings.simplefilter(action='ignore', category=pd.errors.PerformanceWarning) + + +try: + import pandas_ta as pta +except ImportError: + log.error( + "IMPORTANT - please install the pandas_ta python module which is needed for this strategy. " + "If you're running Docker, add RUN pip install pandas_ta to your Dockerfile, otherwise run: " + "pip install pandas_ta" + ) +else: + log.info("pandas_ta successfully imported") + + +############################################################################################################# +## NostalgiaForInfinityX by iterativ ## +## https://github.com/iterativv/NostalgiaForInfinity ## +## ## +## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ## +## ## +############################################################################################################# +## GENERAL RECOMMENDATIONS ## +## ## +## For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake. ## +## A pairlist with 40 to 80 pairs. Volume pairlist works well. ## +## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ## +## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ## +## Ensure that you don't override any variables in you config.json. Especially ## +## the timeframe (must be 5m). ## +## use_exit_signal must set to true (or not set at all). ## +## exit_profit_only must set to false (or not set at all). ## +## ignore_roi_if_entry_signal must set to true (or not set at all). ## +## ## +############################################################################################################# +## HOLD SUPPORT ## +## ## +## -------- SPECIFIC TRADES ------------------------------------------------------------------------------ ## +## In case you want to have SOME of the trades to only be sold when on profit, add a file named ## +## "nfi-hold-trades.json" in the user_data directory ## +## ## +## The contents should be similar to: ## +## ## +## {"trade_ids": [1, 3, 7], "profit_ratio": 0.005} ## +## ## +## Or, for individual profit ratios(Notice the trade ID's as strings: ## +## ## +## {"trade_ids": {"1": 0.001, "3": -0.005, "7": 0.05}} ## +## ## +## NOTE: ## +## * `trade_ids` is a list of integers, the trade ID's, which you can get from the logs or from the ## +## output of the telegram status command. ## +## * Regardless of the defined profit ratio(s), the strategy MUST still produce a SELL signal for the ## +## HOLD support logic to run ## +## * This feature can be completely disabled with the holdSupportEnabled class attribute ## +## ## +## -------- SPECIFIC PAIRS ------------------------------------------------------------------------------- ## +## In case you want to have some pairs to always be on held until a specific profit, using the same ## +## "nfi-hold-trades.json" file add something like: ## +## ## +## {"trade_pairs": {"BTC/USDT": 0.001, "ETH/USDT": -0.005}} ## +## ## +## -------- SPECIFIC TRADES AND PAIRS -------------------------------------------------------------------- ## +## It is also valid to include specific trades and pairs on the holds file, for example: ## +## ## +## {"trade_ids": {"1": 0.001}, "trade_pairs": {"BTC/USDT": 0.001}} ## +############################################################################################################# +## DONATIONS ## +## ## +## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## +## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## +## BEP20/BSC (USDT, ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## +## TRC20/TRON (USDT, TRON, ...): TTAa9MX6zMLXNgWMhg7tkNormVHWCoq8Xk ## +## ## +## REFERRAL LINKS ## +## ## +## Binance: https://accounts.binance.com/en/register?ref=C68K26A9 (20% discount on trading fees) ## +## Kucoin: https://www.kucoin.com/r/af/QBSSS5J2 (20% lifetime discount on trading fees) ## +## Gate.io: https://www.gate.io/signup/8054544 (20% discount on trading fees) ## +## OKX: https://www.okx.com/join/11749725931 (20% discount on trading fees) ## +## ByBit: https://partner.bybit.com/b/nfi ## +## Huobi: https://www.huobi.com/en-us/v/register/double-invite/?inviter_id=11345710&invite_code=ubpt2223 ## +## (20% discount on trading fees) ## +## Bitvavo: https://account.bitvavo.com/create?a=D22103A4BC (no fees for the first € 1000) ## +############################################################################################################# + + +class NostalgiaForInfinityX(IStrategy): + + INTERFACE_VERSION = 3 + + def version(self) -> str: + return "v11.3.107" + + + # ROI table: + minimal_roi = { + "0": 100.0, + } + + stoploss = -0.99 + + # Trailing stoploss (not used) + trailing_stop = False + trailing_only_offset_is_reached = True + trailing_stop_positive = 0.01 + trailing_stop_positive_offset = 0.03 + + use_custom_stoploss = False + + # Optimal timeframe for the strategy. + timeframe = '5m' + res_timeframe = 'none' + info_timeframe_1d = '1d' + info_timeframe_1h = '1h' + info_timeframe_15m = '15m' + + # BTC informative + has_BTC_base_tf = True + has_BTC_info_tf = True + has_BTC_daily_tf = False + + # Backtest Age Filter emulation + has_bt_agefilter = False + bt_min_age_days = 3 + + # Exchange Downtime protection + has_downtime_protection = False + + # Do you want to use the hold feature? (with hold-trades.json) + holdSupportEnabled = True + + # Coin Metrics + coin_metrics = {'top_traded_enabled': False, + 'top_traded_updated': False, + 'top_traded_len': 10, + 'tt_dataframe': DataFrame(), + 'top_grossing_enabled': False, + 'top_grossing_updated': False, + 'top_grossing_len': 20, + 'tg_dataframe': DataFrame(), + 'current_whitelist': []} + + # Rebuy feature + position_adjustment_enable = True + nfi_automatic_rebuys_enable = False + rebuy_mode = 0 + max_rebuy_orders_0 = 4 + max_rebuy_orders_1 = 2 + max_rebuy_orders_2 = 4 + max_rebuy_orders_2_alt = 2 + max_rebuy_orders_3 = 1 + max_rebuy_orders_4 = 3 + max_rebuy_orders_5 = 2 + max_rebuy_multiplier_lev = 0.5 # for leveraged tokens + max_rebuy_multiplier_0 = 1.0 + max_rebuy_multiplier_1 = 1.0 + max_rebuy_multiplier_2 = 0.8 + max_rebuy_multiplier_3 = 1.0 + max_rebuy_multiplier_4 = 0.1 + max_rebuy_multiplier_5 = 0.35 + rebuy_pcts_n_0 = (-0.04, -0.06, -0.09, -0.12) + rebuy_pcts_n_1 = (-0.06, -0.12) + rebuy_pcts_n_2 = (-0.03, -0.04, -0.06, -0.09) + rebuy_pcts_n_2_alt = (-0.03, -0.08) + rebuy_pcts_p_2 = (0.02, 0.025, 0.025, 0.03, 0.07, 0.075, 0.08, 0.085, 0.09, 0.095) + rebuy_pcts_n_3 = (-0.06, -0.12) + rebuy_pcts_n_4 = (-0.02, -0.06, -0.1) + rebuy_pcts_n_5 = (-0.05, -0.08) + rebuy_multi_0 = 0.15 + rebuy_multi_1 = 0.3 + rebuy_multi_2 = 0.15 + rebuy_multi_2_alt = 0.35 + rebuy_multi_3 = 0.5 + rebuy_multi_4 = 1.0 + rebuy_multi_5 = 1.0 + + # BTC/ETH stakes + btc_stakes = ['BTC','ETH'] + + # Stop thresholds + # 1 entry, more than 1, leveraged + stop_thresholds_stable = [-0.2, -0.2, -0.2] + stop_thresholds_btc = [-0.2, -0.2, -0.2] + + # Additional vigorous dump checks + insanity_dump_checks = False + + # Profit maximizer + profit_max_enabled = True + + # Maximizer threshold + profit_max_threshold = 0.03 + + # Rapid more tags + rapid_mode_tags = ['66', '67', '68', '69', '70', '71', '72'] + + # Half mode tags + half_mode_tags = ['73', '74'] + + # Half mode minimum number of free slots + half_mode_min_free_slots = 2 + + # Run "populate_indicators()" only for new candle. + process_only_new_candles = True + + # Exit options + use_exit_signal = True + exit_profit_only = False + exit_profit_offset = 0.01 + ignore_roi_if_entry_signal = True + + # Number of candles the strategy requires before producing valid signals + startup_candle_count: int = 480 + + ############################################################# + + buy_params = { + ############# + # Enable/Disable conditions + "buy_condition_1_enable": True, + "buy_condition_2_enable": True, + "buy_condition_3_enable": True, + "buy_condition_4_enable": True, + "buy_condition_5_enable": True, + "buy_condition_6_enable": True, + "buy_condition_7_enable": True, + "buy_condition_8_enable": True, + "buy_condition_9_enable": True, + "buy_condition_10_enable": True, + "buy_condition_11_enable": True, + "buy_condition_12_enable": True, + "buy_condition_13_enable": True, + "buy_condition_14_enable": True, + "buy_condition_15_enable": True, + "buy_condition_16_enable": True, + "buy_condition_17_enable": True, + "buy_condition_18_enable": True, + "buy_condition_19_enable": True, + "buy_condition_20_enable": True, + "buy_condition_21_enable": True, + "buy_condition_22_enable": True, + "buy_condition_23_enable": True, + "buy_condition_24_enable": True, + "buy_condition_25_enable": True, + "buy_condition_26_enable": True, + "buy_condition_27_enable": True, + "buy_condition_28_enable": True, + "buy_condition_29_enable": True, + "buy_condition_30_enable": True, + "buy_condition_31_enable": True, + "buy_condition_32_enable": True, + "buy_condition_33_enable": True, + "buy_condition_34_enable": True, + "buy_condition_35_enable": True, + "buy_condition_36_enable": True, + "buy_condition_37_enable": True, + "buy_condition_38_enable": True, + "buy_condition_39_enable": True, + "buy_condition_40_enable": True, + "buy_condition_41_enable": True, + "buy_condition_42_enable": True, + "buy_condition_43_enable": True, + "buy_condition_44_enable": True, + "buy_condition_45_enable": True, + "buy_condition_46_enable": True, + "buy_condition_47_enable": True, + "buy_condition_48_enable": True, + "buy_condition_49_enable": True, + "buy_condition_50_enable": True, + "buy_condition_51_enable": True, + "buy_condition_52_enable": True, + "buy_condition_53_enable": True, + "buy_condition_54_enable": True, + "buy_condition_55_enable": True, + "buy_condition_56_enable": True, + "buy_condition_57_enable": True, + "buy_condition_58_enable": True, + "buy_condition_59_enable": True, + "buy_condition_60_enable": True, + "buy_condition_61_enable": True, + "buy_condition_62_enable": True, + "buy_condition_63_enable": True, + "buy_condition_64_enable": True, + "buy_condition_65_enable": True, + + "buy_condition_66_enable": True, + "buy_condition_67_enable": True, + "buy_condition_68_enable": True, + "buy_condition_69_enable": True, + "buy_condition_70_enable": True, + "buy_condition_71_enable": True, + "buy_condition_72_enable": True, + + "buy_condition_73_enable": True, + "buy_condition_74_enable": True, + ############# + } + + sell_params = { + ############# + # Enable/Disable conditions + "sell_condition_1_enable": True, + ############# + } + + ############################################################# + buy_protection_params = { + 1: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : True, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : None, + "safe_dips_threshold_2" : 0.06, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.36, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 1.2, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 2.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 2: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "20", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.06, + "safe_dips_threshold_12" : 0.18, + "safe_dips_threshold_144" : 0.32, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.75, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 3: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "20", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.08, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.5, + "safe_pump_36h_threshold" : 0.7, + "safe_pump_48h_threshold" : 0.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.4 + }, + 4: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.7, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.8 + }, + 5: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.3, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.68, + "safe_pump_36h_threshold" : 0.74, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.25 + }, + 6: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "36", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.78, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.3, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 7: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "36", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.3, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.65, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.8 + }, + 8: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.28, + "safe_dips_threshold_144" : 0.3, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.74, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.2 + }, + 9: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "28", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.3, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.9, + "safe_pump_48h_threshold" : 0.88, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 10: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.8, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 11: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.88, + "safe_pump_48h_threshold" : 1.1, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 12: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : 0.5, + "safe_pump_24h_threshold" : 0.75, + "safe_pump_36h_threshold" : 1.8, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 13: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.48, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : 0.52, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.9, + "safe_pump_48h_threshold" : 0.88, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 14: { + "ema_fast" : False, + "ema_fast_len" : "100", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "44", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "72", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.48, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.8, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 15: { + "ema_fast" : False, + "ema_fast_len" : "100", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.48, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.5, + "safe_pump_36h_threshold" : 0.9, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.35 + }, + 16: { + "ema_fast" : False, + "ema_fast_len" : "100", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "36", + "safe_dips_threshold_0" : 0.02, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.9, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 17: { + "ema_fast" : False, + "ema_fast_len" : "100", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "36", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.25, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.25, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 18: { + "ema_fast" : False, + "ema_fast_len" : "100", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "36", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.14, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.35, + "safe_pump_12h_threshold" : 0.45, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.6, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 19: { + "ema_fast" : False, + "ema_fast_len" : "100", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "36", + "safe_dips_threshold_0" : 0.026, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.36, + "safe_pump_6h_threshold" : 0.35, + "safe_pump_12h_threshold" : 0.45, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.65, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 20: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : True, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : None, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : 0.35, + "safe_pump_24h_threshold" : 0.55, + "safe_pump_36h_threshold" : 0.6, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 21: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : True, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : None, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.3, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.95, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 22: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 23: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.38, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.7, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 0.95, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 24: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : True, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.12, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.5, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.6, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.1 + }, + 25: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "36", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 26: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.12, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 1.0, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 27: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.28, + "safe_dips_threshold_144" : 0.18, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : 0.5, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "sup2", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res2", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 28: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 1.9, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 29: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.32, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 0.6, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 30: { + "ema_fast" : True, + "ema_fast_len" : "50", + "ema_slow" : True, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.28, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 31: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.25, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 32: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.3, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.78, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.1 + }, + 33: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.028, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.8, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.1 + }, + 34: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : True, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.066, + "safe_dips_threshold_12" : 0.16, + "safe_dips_threshold_144" : 0.44, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.75, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.3 + }, + 35: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.18, + "safe_dips_threshold_144" : 0.3, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 36: { + "ema_fast" : True, + "ema_fast_len" : "16", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.14, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.6, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.45 + }, + 37: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.14, + "safe_dips_threshold_144" : 0.22, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.1 + }, + 38: { + "ema_fast" : False, + "ema_fast_len" : "16", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.13, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.45, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 1.0, + "safe_pump_36h_threshold" : 2.0, + "safe_pump_48h_threshold" : 1.5, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.25 + }, + 39: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : 0.54, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.25 + }, + 40: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "30", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.012, + "safe_dips_threshold_2" : None, + "safe_dips_threshold_12" : 0.3, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.55, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.67, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.25 + }, + 41: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.08, + "safe_dips_threshold_12" : 0.16, + "safe_dips_threshold_144" : 0.22, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.9, + "safe_pump_48h_threshold" : 3.2, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 42: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : 0.2, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.1, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 43: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : None, + "safe_pump_12h_threshold" : 0.9, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 0.99, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 44: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : True, + "sma200_rising_val" : "24", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.16, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 1.2, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 45: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.4, + "safe_dips_threshold_144" : 0.8, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.35, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 46: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : True, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "24", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.32, + "safe_dips_threshold_144" : 0.34, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.6, + "safe_pump_36h_threshold" : 1.0, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 47: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : 0.24, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.9, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 48: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : 0.26, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : 1.3, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.2 + }, + 49: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : True, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.26, + "safe_dips_threshold_144" : 0.38, + "safe_pump_6h_threshold" : 0.4, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.6, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 50: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.56, + "safe_pump_36h_threshold" : 1.0, + "safe_pump_48h_threshold" : None, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.8 + }, + 51: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.03, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : 0.3, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : 0.58, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 0.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.8 + }, + 52: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.18, + "safe_dips_threshold_144" : 0.34, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.62, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 0.95, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.8 + }, + 53: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.16, + "safe_dips_threshold_144" : 0.23, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.7, + "safe_pump_48h_threshold" : 0.7, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 54: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.34, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.95, + "safe_pump_48h_threshold" : 1.05, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 55: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.7, + "safe_pump_48h_threshold" : 0.7, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 56: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : 0.3, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 0.84, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 57: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.28, + "safe_dips_threshold_144" : None, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.1, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 58: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : None, + "safe_dips_threshold_144" : 0.34, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : 0.75, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 59: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.35, + "safe_dips_threshold_144" : 0.28, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.52, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 0.75, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 60: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : True, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.16, + "safe_dips_threshold_144" : 0.3, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : None, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 62: { + "ema_fast" : False, + "ema_fast_len" : "50", + "ema_slow" : False, + "ema_slow_len" : "50", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "42", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "50", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.18, + "safe_dips_threshold_144" : 0.23, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.6, + "safe_pump_36h_threshold" : 0.64, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 63: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.13, + "safe_dips_threshold_144" : 0.24, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.5, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 0.65, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.2 + }, + 64: { + "ema_fast" : False, + "ema_fast_len" : "12", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.18, + "safe_dips_threshold_144" : 0.19, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.75, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.4, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + 65: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : True, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "24", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.36, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.6, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.25, + "btc_1h_not_downtrend" : True, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.6 + }, + + 66: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.36, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.5, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 67: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.24, + "safe_dips_threshold_144" : 0.36, + "safe_pump_6h_threshold" : 0.5, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.5, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.0, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.25 + }, + 68: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : None, + "safe_dips_threshold_2" : 0.12, + "safe_dips_threshold_12" : 0.36, + "safe_dips_threshold_144" : 0.48, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 69: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : None, + "safe_dips_threshold_2" : 0.12, + "safe_dips_threshold_12" : 0.44, + "safe_dips_threshold_144" : 0.9, + "safe_pump_6h_threshold" : None, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.8, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 70: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.09, + "safe_dips_threshold_12" : 0.36, + "safe_dips_threshold_144" : 0.48, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 71: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : None, + "safe_dips_threshold_2" : 0.12, + "safe_dips_threshold_12" : 0.36, + "safe_dips_threshold_144" : 0.48, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 72: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.12, + "safe_dips_threshold_12" : 0.36, + "safe_dips_threshold_144" : 0.48, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + + 73: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.12, + "safe_dips_threshold_12" : 0.36, + "safe_dips_threshold_144" : 0.48, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + }, + 74: { + "ema_fast" : False, + "ema_fast_len" : "26", + "ema_slow" : False, + "ema_slow_len" : "12", + "close_above_ema_fast" : False, + "close_above_ema_fast_len" : "200", + "close_above_ema_slow" : False, + "close_above_ema_slow_len" : "200", + "sma200_rising" : False, + "sma200_rising_val" : "48", + "sma200_1h_rising" : False, + "sma200_1h_rising_val" : "48", + "safe_dips_threshold_0" : 0.032, + "safe_dips_threshold_2" : 0.12, + "safe_dips_threshold_12" : 0.36, + "safe_dips_threshold_144" : 0.48, + "safe_pump_6h_threshold" : 0.6, + "safe_pump_12h_threshold" : None, + "safe_pump_24h_threshold" : 0.8, + "safe_pump_36h_threshold" : None, + "safe_pump_48h_threshold" : 1.2, + "btc_1h_not_downtrend" : False, + "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_over_pivot_offset" : 1.0, + "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 + "close_under_pivot_offset" : 1.0 + } + } + + # Sell + sell_condition_1_enable = True + + ############################################################# + # CACHES + + hold_trades_cache = None + target_profit_cache = None + ############################################################# + + def __init__(self, config: dict) -> None: + super().__init__(config) + if ('nfi_automatic_rebuys_enable' in self.config): + nfi_automatic_rebuys_enable = self.config['nfi_automatic_rebuys_enable'] + if ('stop_thresholds_stable' in self.config): + self.stop_thresholds_stable = self.config['stop_thresholds_stable'] + if ('stop_thresholds_btc' in self.config): + self.stop_thresholds_btc = self.config['stop_thresholds_btc'] + if ('insanity_dump_checks' in self.config): + self.insanity_dump_checks = self.config['insanity_dump_checks'] + if ('profit_max_threshold' in self.config): + self.profit_max_threshold = self.config['profit_max_threshold'] + if self.target_profit_cache is None: + bot_name = "" + if ('bot_name' in self.config): + bot_name = self.config["bot_name"] + "-" + self.target_profit_cache = Cache( + self.config["user_data_dir"] / ("nfi-profit_maximizer-" + bot_name + self.config["exchange"]["name"] + "-" + self.config["stake_currency"] + ("-(backtest)" if (self.config['runmode'].value == 'backtest') else "") + ".json") + ) + + # If the cached data hasn't changed, it's a no-op + self.target_profit_cache.save() + + def get_hold_trades_config_file(self): + proper_holds_file_path = self.config["user_data_dir"].resolve() / "nfi-hold-trades.json" + if proper_holds_file_path.is_file(): + return proper_holds_file_path + + strat_file_path = pathlib.Path(__file__) + hold_trades_config_file_resolve = strat_file_path.resolve().parent / "hold-trades.json" + if hold_trades_config_file_resolve.is_file(): + log.warning( + "Please move %s to %s which is now the expected path for the holds file", + hold_trades_config_file_resolve, + proper_holds_file_path, + ) + return hold_trades_config_file_resolve + + # The resolved path does not exist, is it a symlink? + hold_trades_config_file_absolute = strat_file_path.absolute().parent / "hold-trades.json" + if hold_trades_config_file_absolute.is_file(): + log.warning( + "Please move %s to %s which is now the expected path for the holds file", + hold_trades_config_file_absolute, + proper_holds_file_path, + ) + return hold_trades_config_file_absolute + + def load_hold_trades_config(self): + if self.hold_trades_cache is None: + hold_trades_config_file = self.get_hold_trades_config_file() + if hold_trades_config_file: + log.warning("Loading hold support data from %s", hold_trades_config_file) + self.hold_trades_cache = HoldsCache(hold_trades_config_file) + + if self.hold_trades_cache: + self.hold_trades_cache.load() + + def whitelist_tracker(self): + if sorted(self.coin_metrics['current_whitelist']) != sorted(self.dp.current_whitelist()): + log.info("Whitelist has changed...") + self.coin_metrics['top_traded_updated'] = False + self.coin_metrics['top_grossing_updated'] = False + + # Update pairlist + self.coin_metrics['current_whitelist'] = self.dp.current_whitelist() + + # Move up BTC for largest data footprint + self.coin_metrics['current_whitelist'].insert(0, self.coin_metrics['current_whitelist'].pop(self.coin_metrics['current_whitelist'].index(f"BTC/{self.config['stake_currency']}"))) + + def top_traded_list(self): + log.info("Updating top traded pairlist...") + tik = time.perf_counter() + + self.coin_metrics['tt_dataframe'] = DataFrame() + + # Build traded volume dataframe + for coin_pair in self.coin_metrics['current_whitelist']: + coin = coin_pair.split('/')[0] + + # Get the volume for the daily informative timeframe and name the column for the coin + pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d) + pair_dataframe.set_index('date') + + if self.config['runmode'].value in ('live', 'dry_run'): + pair_dataframe = pair_dataframe.iloc[-7:,:] + + # Set the date index of the self.coin_metrics['tt_dataframe'] once + if not 'date' in self.coin_metrics['tt_dataframe']: + self.coin_metrics['tt_dataframe']['date'] = pair_dataframe['date'] + self.coin_metrics['tt_dataframe'].set_index('date') + + # Calculate daily traded volume + pair_dataframe[coin] = pair_dataframe['volume'] * qtpylib.typical_price(pair_dataframe) + + # Drop the columns we don't need + pair_dataframe.drop(columns=['open', 'high', 'low', 'close', 'volume'], inplace=True) + + # Merge it in on the date key + self.coin_metrics['tt_dataframe'] = self.coin_metrics['tt_dataframe'].merge(pair_dataframe, on='date', how='left') + + # Forward fill empty cells (due to different df shapes) + self.coin_metrics['tt_dataframe'].fillna(0, inplace=True) + + # Store and drop date column for value sorting + pair_dates = self.coin_metrics['tt_dataframe']['date'] + self.coin_metrics['tt_dataframe'].drop(columns=['date'], inplace=True) + + # Build columns and top traded coins + column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics['top_traded_len'] + 1)] + self.coin_metrics['tt_dataframe'][column_names] = self.coin_metrics['tt_dataframe'].apply(lambda x: x.nlargest(self.coin_metrics['top_traded_len']).index.values, axis=1, result_type='expand') + self.coin_metrics['tt_dataframe'].drop(columns=[col for col in self.coin_metrics['tt_dataframe'] if col not in column_names], inplace=True) + + # Re-add stored date column + self.coin_metrics['tt_dataframe'].insert(loc = 0, column = 'date', value = pair_dates) + self.coin_metrics['tt_dataframe'].set_index('date') + self.coin_metrics['top_traded_updated'] = True + log.info("Updated top traded pairlist (tail-5):") + log.info(f"\n{self.coin_metrics['tt_dataframe'].tail(5)}") + + tok = time.perf_counter() + log.info(f"Updating top traded pairlist took {tok - tik:0.4f} seconds...") + + def top_grossing_list(self): + log.info("Updating top grossing pairlist...") + tik = time.perf_counter() + + self.coin_metrics['tg_dataframe'] = DataFrame() + + # Build grossing volume dataframe + for coin_pair in self.coin_metrics['current_whitelist']: + coin = coin_pair.split('/')[0] + + # Get the volume for the daily informative timeframe and name the column for the coin + pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d) + pair_dataframe.set_index('date') + + if self.config['runmode'].value in ('live', 'dry_run'): + pair_dataframe = pair_dataframe.iloc[-7:,:] + + # Set the date index of the self.coin_metrics['tg_dataframe'] once + if not 'date' in self.coin_metrics['tg_dataframe']: + self.coin_metrics['tg_dataframe']['date'] = pair_dataframe['date'] + self.coin_metrics['tg_dataframe'].set_index('date') + + # Calculate daily grossing rate + pair_dataframe[coin] = pair_dataframe['close'].pct_change() * 100 + + # Drop the columns we don't need + pair_dataframe.drop(columns=['open', 'high', 'low', 'close', 'volume'], inplace=True) + + # Merge it in on the date key + self.coin_metrics['tg_dataframe'] = self.coin_metrics['tg_dataframe'].merge(pair_dataframe, on='date', how='left') + + # Forward fill empty cells (due to different df shapes) + self.coin_metrics['tg_dataframe'].fillna(0, inplace=True) + + # Store and drop date column for value sorting + pair_dates = self.coin_metrics['tg_dataframe']['date'] + self.coin_metrics['tg_dataframe'].drop(columns=['date'], inplace=True) + + # Build columns and top grossing coins + column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics['top_grossing_len'] + 1)] + self.coin_metrics['tg_dataframe'][column_names] = self.coin_metrics['tg_dataframe'].apply(lambda x: x.nlargest(self.coin_metrics['top_grossing_len']).index.values, axis=1, result_type='expand') + self.coin_metrics['tg_dataframe'].drop(columns=[col for col in self.coin_metrics['tg_dataframe'] if col not in column_names], inplace=True) + + # Re-add stored date column + self.coin_metrics['tg_dataframe'].insert(loc = 0, column = 'date', value = pair_dates) + self.coin_metrics['tg_dataframe'].set_index('date') + self.coin_metrics['top_grossing_updated'] = True + log.info("Updated top grossing pairlist (tail-5):") + log.info(f"\n{self.coin_metrics['tg_dataframe'].tail(5)}") + + tok = time.perf_counter() + log.info(f"Updating top grossing pairlist took {tok - tik:0.4f} seconds...") + + def is_top_coin(self, coin_pair, row_data, top_length) -> bool: + return coin_pair.split('/')[0] in row_data.loc['Coin #1':f"Coin #{top_length}"].values + + + def bot_loop_start(self, **kwargs) -> None: + """ + Called at the start of the bot iteration (one loop). + Might be used to perform pair-independent tasks + (e.g. gather some remote resource for comparison) + :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. + """ + + # Coin metrics mechanism + if self.coin_metrics['top_traded_enabled'] or self.coin_metrics['top_grossing_enabled']: + self.whitelist_tracker() + if self.coin_metrics['top_traded_enabled'] and not self.coin_metrics['top_traded_updated']: + self.top_traded_list() + if self.coin_metrics['top_grossing_enabled'] and not self.coin_metrics['top_grossing_updated']: + self.top_grossing_list() + + if self.config["runmode"].value not in ("live", "dry_run"): + return super().bot_loop_start(**kwargs) + + if self.holdSupportEnabled: + self.load_hold_trades_config() + + return super().bot_loop_start(**kwargs) + + def get_ticker_indicator(self): + return int(self.timeframe[:-1]) + + def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float, + proposed_stake: float, min_stake: Optional[float], max_stake: float, + entry_tag: Optional[str], side: str, **kwargs) -> float: + if self.position_adjustment_enable and self.nfi_automatic_rebuys_enable: + use_mode = self.rebuy_mode + if ('rebuy_mode' in self.config): + use_mode = self.config['rebuy_mode'] + if ('use_alt_rebuys' in self.config and self.config['use_alt_rebuys']): + use_mode = 1 + enter_tags = entry_tag.split() + if all(c in self.rapid_mode_tags for c in enter_tags): + use_mode = 2 + if all(c in self.half_mode_tags for c in enter_tags): + use_mode = 5 + if 0 <= use_mode <= 5: + return proposed_stake * self.__getattribute__(f'max_rebuy_multiplier_{use_mode}') + + return proposed_stake + + def adjust_trade_position(self, trade: Trade, current_time: datetime, + current_rate: float, current_profit: float, min_stake: float, + max_stake: float, **kwargs): + # Don't rebuy for trades on hold + if self._should_hold_trade(trade, current_rate, 'none'): + return None + + is_backtest = self.dp.runmode.value == 'backtest' + if (trade.open_date_utc.replace(tzinfo=None) < datetime(2022, 12, 1) and not is_backtest): + return None + + if (self.position_adjustment_enable == False) or (self.nfi_automatic_rebuys_enable == False) or (current_profit > -0.02): + return None + + enter_tag = 'empty' + if hasattr(trade, 'enter_tag') and trade.enter_tag is not None: + enter_tag = trade.enter_tag + enter_tags = enter_tag.split() + + dataframe, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) + if(len(dataframe) < 2): + return None + last_candle = dataframe.iloc[-1].squeeze() + previous_candle = dataframe.iloc[-2].squeeze() + + count_of_entries = 0 + if (hasattr(trade, 'enter_side')): + filled_entries = trade.select_filled_orders(trade.enter_side) + count_of_entries = trade.nr_of_successful_entries + else: + filled_entries = trade.select_filled_orders('buy') + count_of_entries = len(filled_entries) + + if (count_of_entries == 0): + return None + + use_mode = self.rebuy_mode + is_leverage = bool(re.match(leverage_pattern, trade.pair)) + if (is_leverage) and ('do_not_use_leverage_rebuys' in self.config and self.config['do_not_use_leverage_rebuys']): + return None + + # if to use alternate rebuy scheme + use_alt = False + use_alt_2 = False + if (use_mode == 0) and ((filled_entries[0].cost * (self.rebuy_multi_0 + (count_of_entries * 0.005))) < min_stake): + use_alt = True + if (use_mode == 2) and ((filled_entries[0].cost * (self.rebuy_multi_2 + (count_of_entries * 0.005))) < min_stake): + use_alt_2 = True + if (use_mode == 3) and ((filled_entries[0].cost * (self.rebuy_multi_3 + (count_of_entries * 0.005))) < min_stake): + use_alt = True + if (use_mode == 4) and ((filled_entries[0].cost * (self.rebuy_multi_4 + (count_of_entries * 0.005))) < min_stake): + use_alt = True + + if ('use_alt_rebuys' in self.config and self.config['use_alt_rebuys']): + use_alt = True + + if use_alt: + use_mode = 1 + + if all(c in self.rapid_mode_tags for c in enter_tags): + use_mode = 2 + if all(c in self.half_mode_tags for c in enter_tags): + use_mode = 5 + + is_rebuy = False + + if (use_mode == 0): + if (1 <= count_of_entries <= 1): + if ( + (current_profit < self.rebuy_pcts_n_0[count_of_entries - 1]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.05)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.02) + ): + is_rebuy = True + elif (2 <= count_of_entries <= self.max_rebuy_orders_0): + if ( + (current_profit < self.rebuy_pcts_n_0[count_of_entries - 1]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.04)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.02) + ): + is_rebuy = True + elif (use_mode == 1): + if (count_of_entries == 1): + if ( + (current_profit < self.rebuy_pcts_n_1[0]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.05)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.02) + ): + is_rebuy = True + elif (count_of_entries == 2): + if ( + (current_profit < self.rebuy_pcts_n_1[1]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.05)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.02) + ): + is_rebuy = True + elif (use_mode == 2): + if (use_alt_2): + if (1 <= count_of_entries <= 1): + if ( + (current_profit < self.rebuy_pcts_n_2_alt[count_of_entries - 1]) + ): + is_rebuy = True + elif (2 <= count_of_entries <= self.max_rebuy_orders_2_alt): + if ( + (current_profit < self.rebuy_pcts_n_2_alt[count_of_entries - 1]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.04)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.02) + ): + is_rebuy = True + else: + if (1 <= count_of_entries <= 2): + if ( + (current_profit < self.rebuy_pcts_n_2[count_of_entries - 1]) + ): + is_rebuy = True + elif (3 <= count_of_entries <= self.max_rebuy_orders_2): + if ( + (current_profit < self.rebuy_pcts_n_2[count_of_entries - 1]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.04)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.02) + ): + is_rebuy = True + elif (use_mode == 3): + if ( + (current_profit < self.rebuy_pcts_n_3[count_of_entries - 1]) + and ( + (last_candle['crsi'] > 10.0) + and (last_candle['rsi_14'] < 40.0) + and (last_candle['crsi_1h'] > 20.0) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.06)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.03) + ) + ): + is_rebuy = True + elif (5 <= count_of_entries <= self.max_rebuy_orders_3): + if ( + (current_profit < self.rebuy_pcts_n_3[count_of_entries - 1]) + and ( + (last_candle['crsi'] > 10.0) + and (last_candle['crsi_1h'] > 10.0) + ) + ): + is_rebuy = True + elif (use_mode == 4): + if (1 <= count_of_entries <= 1): + if ( + (current_profit < self.rebuy_pcts_n_4[count_of_entries - 1]) + and ( + (last_candle['crsi'] > 12.0) + and (last_candle['crsi_1h'] > 10.0) + ) + ): + is_rebuy = True + elif (2 <= count_of_entries <= self.max_rebuy_orders_4): + if ( + (current_profit < self.rebuy_pcts_n_4[count_of_entries - 1]) + and ( + (last_candle['crsi'] > 10.0) + and (last_candle['crsi_1h'] > 12.0) + and (last_candle['crsi_1h'] > 10.0) and (last_candle['btc_not_downtrend_1h'] == True) + ) + ): + is_rebuy = True + elif (use_mode == 5): + if (count_of_entries == 1): + if ( + (current_profit < self.rebuy_pcts_n_5[count_of_entries - 1]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.05)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.03) + ): + is_rebuy = True + elif (2 <= count_of_entries <= self.max_rebuy_orders_5): + if ( + (current_profit < self.rebuy_pcts_n_5[count_of_entries - 1]) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.05)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.03) + ): + is_rebuy = True + + if not is_rebuy: + return None + + # Log if the last candle triggered a buy signal, even if max rebuys reached + if (('buy' in last_candle and last_candle['buy'] == 1) or ('enter_long' in last_candle and last_candle['enter_long'] == 1)) and self.dp.runmode.value in ('backtest','dry_run'): + log.info(f"Rebuy: a buy tag found for pair {trade.pair}") + + # Calculate the new stake. + if 0 < count_of_entries <= (self.max_rebuy_orders_0 if use_mode == 0 else self.max_rebuy_orders_1 if use_mode == 1 else self.max_rebuy_orders_2 if use_mode == 2 else self.max_rebuy_orders_3 if use_mode == 3 else self.max_rebuy_orders_4 if use_mode == 4 else self.max_rebuy_orders_5): + try: + # This returns first order stake size + stake_amount = filled_entries[0].cost + # This then calculates current safety order size + if (use_mode == 0): + stake_amount = stake_amount * (self.rebuy_multi_0 + (count_of_entries * 0.005)) + elif (use_mode == 1) or (use_alt): + stake_amount = stake_amount * (self.rebuy_multi_1 + (count_of_entries * 0.005)) + if (stake_amount < min_stake): + stake_amount = min_stake + elif (use_mode == 2): + if (use_alt_2) and (count_of_entries > self.max_rebuy_orders_2_alt): + return None + stake_amount = stake_amount * (self.rebuy_multi_2_alt if use_alt_2 else self.rebuy_multi_2) + elif use_mode == 3 and 1 <= count_of_entries <= 8: + stake_amount = stake_amount * self.rebuy_multi_3 * math.ceil(count_of_entries/2) + elif (use_mode == 4): + stake_amount = stake_amount + (stake_amount * (self.rebuy_multi_4 * (count_of_entries - 1))) + elif (use_mode == 5): + stake_amount = stake_amount * self.rebuy_multi_5 + return stake_amount + except Exception as exception: + return None + + return None + + def sell_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', enter_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 79.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']) and (previous_candle_5['close'] > previous_candle_5['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_signal_1_1_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_1_1_2' + else: + if (current_profit > 0.01): + return True, 'sell_signal_1_2_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_1_2_2' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_signal_2_1_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_2_1_2' + else: + if (current_profit > 0.01): + return True, 'sell_signal_2_2_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_2_2_2' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 83.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_signal_3_1_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_3_1_2' + else: + if (current_profit > 0.01): + return True, 'sell_signal_3_2_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_3_2_2' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_1h'] > 78.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_signal_4_1_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_4_1_2' + else: + if (current_profit > 0.01): + return True, 'sell_signal_4_2_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_4_2_2' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 79.5): + if (current_profit > 0.01): + return True, 'sell_signal_6_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_6_2' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 80.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_signal_7_1_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_7_1_2' + else: + if (current_profit > 0.01): + return True, 'sell_signal_7_2_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_7_2_2' + + # Sell signal 8 + elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_signal_8_1_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_8_1_2' + else: + if (current_profit > 0.01): + return True, 'sell_signal_8_2_1' + elif (current_profit > 0.0) and (max_loss > 0.14): + return True, 'sell_signal_8_2_2' + + return False, None + + def sell_stoploss(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple: + is_backtest = self.dp.runmode.value == 'backtest' + + count_of_buys = 1 + if hasattr(trade, 'select_filled_orders'): + filled_buys = trade.select_filled_orders('buy') + count_of_buys = len(filled_buys) + # If 2 rebuys or more + is_rebuy = count_of_buys > 2 + is_leverage = bool(re.match(leverage_pattern,trade.pair)) + stop_index = 0 if is_rebuy and not is_leverage else 1 if not is_rebuy and not is_leverage else 2 + is_btc_stake = self.config['stake_currency'] in self.btc_stakes + + # Absolute limit, just in case... + if ( + (current_profit < [-0.5, -0.5, -0.5][stop_index]) + and (current_time - timedelta(hours=1) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) > datetime(2022, 5, 25) or is_backtest) + ): + return True, 'sell_stoploss_stop_1' + + if not is_btc_stake: + if ( + (current_profit < [-0.35, -0.35, -0.35][stop_index]) + and (current_time - timedelta(hours=1) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 8, 28) or is_backtest) + ): + return True, 'sell_stoploss_stop_2' + + if ( + (current_profit < self.stop_thresholds_stable[stop_index]) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 9, 21) or is_backtest) + ): + return True, 'sell_stoploss_stop_2' + else: + # BTC/ETH stake + if ( + (current_profit < [-0.25, -0.25, -0.35][stop_index]) + and (current_time - timedelta(hours=1) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) > datetime(2022, 6, 13) or is_backtest) + ): + return True, 'sell_stoploss_stop_2' + + if ( + (current_profit < self.stop_thresholds_btc[stop_index]) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) > datetime(2022, 9, 21) or is_backtest) + ): + return True, 'sell_stoploss_stop_2' + + return False, None + + def sell_over_main(self, current_profit: float, last_candle) -> tuple: + if last_candle['close'] > last_candle['ema_200']: + if (last_candle['ema_vwma_osc_96']): + if current_profit >= 0.20: + if (last_candle['rsi_14'] < 39.0): + return True, 'sell_profit_o_bull_12_1' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_12_2' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_12_3' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_12_4' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_12_5' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_12_6' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_12_7' + elif 0.20 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_o_bull_11_1' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_11_2' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_11_3' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_11_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_11_5' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_11_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_11_7' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_o_bull_10_1' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_10_2' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_10_3' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_10_4' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_10_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_10_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_10_7' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_o_bull_9_1' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_9_2' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_9_3' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_9_4' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_9_5' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_9_6' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_9_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_o_bull_8_1' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_8_2' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_8_3' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_8_4' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_8_5' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_8_6' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_8_7' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_o_bull_7_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_7_2' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_7_3' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_7_4' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_7_5' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_7_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_7_7' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_o_bull_6_1' + elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_6_2' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_6_3' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_6_4' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_6_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_6_6' + elif (last_candle['rsi_14'] < 55.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_6_7' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_o_bull_5_1' + elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_5_2' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_5_3' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_5_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_5_5' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_5_6' + elif (last_candle['rsi_14'] < 59.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_5_7' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 39.0): + return True, 'sell_profit_o_bull_4_1' + elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_4_2' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_4_3' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_4_4' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_4_5' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_4_6' + elif (last_candle['rsi_14'] < 63.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_4_7' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 37.0): + return True, 'sell_profit_o_bull_3_1' + elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_3_2' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_3_3' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_3_4' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_3_5' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_3_6' + elif (last_candle['rsi_14'] < 57.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_3_7' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 34.0): + return True, 'sell_profit_o_bull_2_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_2_2' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_2_3' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_2_4' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_2_5' + elif (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_2_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_2_7' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 33.0): + return True, 'sell_profit_o_bull_1_1' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_1_2' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_1_3' + elif (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_1_4' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bull_1_5' + elif (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bull_1_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bull_1_7' + else: + if current_profit >= 0.20: + if (last_candle['rsi_14'] < 40.0): + return True, 'sell_profit_o_bear_12_1' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_12_2' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_12_3' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_12_4' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_12_5' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_12_6' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_12_7' + elif 0.20 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_o_bear_11_1' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_11_2' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_11_3' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_11_4' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_11_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_11_6' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_11_7' + elif 0.12 > current_profit >= 0.10: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_o_bear_10_1' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_10_2' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_10_3' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_10_4' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_10_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_10_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_10_7' + elif 0.10 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_o_bear_9_1' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_9_2' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_9_3' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_9_4' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_9_5' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_9_6' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_9_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_o_bear_8_1' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_8_2' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_8_3' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_8_4' + elif (last_candle['rsi_14'] < 53.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_8_5' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_8_6' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_8_7' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_o_bear_7_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_7_2' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_7_3' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_7_4' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_7_5' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_7_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_7_7' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_o_bear_6_1' + elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_6_2' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_6_3' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_6_4' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_6_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_6_6' + elif (last_candle['rsi_14'] < 55.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_6_7' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_o_bear_5_1' + elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_5_2' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_5_3' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_5_4' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_5_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_5_6' + elif (last_candle['rsi_14'] < 59.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_5_7' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 40.0): + return True, 'sell_profit_o_bear_4_1' + elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_4_2' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_4_3' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_4_4' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_4_5' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_4_6' + elif (last_candle['rsi_14'] < 63.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_4_7' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 38.0): + return True, 'sell_profit_o_bear_3_1' + elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_3_2' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_3_3' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_3_4' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_3_5' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_3_6' + elif (last_candle['rsi_14'] < 57.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_3_7' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 35.0): + return True, 'sell_profit_o_bear_2_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_2_2' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_2_3' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_2_4' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_2_5' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_2_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_2_7' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 34.0): + return True, 'sell_profit_o_bear_1_1' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bear_1_2' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_1_3' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_1_4' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_o_bear_1_5' + elif (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_o_bear_1_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_o_bear_1_7' + + return False, None + + def sell_under_main(self, current_profit: float, last_candle) -> tuple: + if last_candle['close'] < last_candle['ema_200']: + if (last_candle['ema_vwma_osc_96'] > 0.0): + if current_profit >= 0.20: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_u_bull_12_1' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_12_2' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_12_3' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_12_4' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_12_5' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_12_6' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_12_7' + elif 0.20 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_u_bull_11_1' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_o_bull_11_2' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_11_3' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_11_4' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_11_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_11_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_11_7' + elif 0.12 > current_profit >= 0.10: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_u_bull_10_1' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_10_2' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_10_3' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_10_4' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_10_5' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_10_6' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_10_7' + elif 0.10 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_u_bull_9_1' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_9_2' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_9_3' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_9_4' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_9_5' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_9_6' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_9_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 49.0): + return True, 'sell_profit_u_bull_8_1' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_8_2' + elif (last_candle['rsi_14'] < 53.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_8_3' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_8_4' + elif (last_candle['rsi_14'] < 53.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_8_5' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_8_6' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_8_7' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_u_bull_7_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_7_2' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_7_3' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_7_4' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_7_5' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_7_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_7_7' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_u_bull_6_1' + elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_6_2' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_6_3' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_6_4' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_6_5' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_6_6' + elif (last_candle['rsi_14'] < 55.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_6_7' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_u_bull_5_1' + elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_5_2' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_5_3' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_5_4' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_5_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_5_6' + elif (last_candle['rsi_14'] < 59.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_5_7' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_u_bull_4_1' + elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_4_2' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_4_3' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_4_4' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_4_5' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_4_6' + elif (last_candle['rsi_14'] < 63.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_4_7' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 39.0): + return True, 'sell_profit_u_bull_3_1' + elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_3_2' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_3_3' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_3_4' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_3_5' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_3_6' + elif (last_candle['rsi_14'] < 57.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_3_7' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 36.0): + return True, 'sell_profit_u_bull_2_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_2_2' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_2_3' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_2_4' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_2_5' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_2_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_2_7' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 35.0): + return True, 'sell_profit_u_bull_1_1' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bull_1_2' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_1_3' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_1_4' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bull_1_5' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bull_1_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bull_1_7' + else: + if current_profit >= 0.20: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_u_bear_12_1' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_12_2' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_12_3' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_12_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_12_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_12_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_12_7' + elif 0.20 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_u_bear_11_1' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_11_2' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_11_3' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_11_4' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_11_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_11_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_11_7' + elif 0.12 > current_profit >= 0.10: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_u_bear_10_1' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_10_2' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_10_3' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_10_4' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_10_5' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_10_6' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_10_7' + elif 0.10 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_u_bear_9_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_9_2' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_9_3' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_9_4' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_9_5' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_9_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_9_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_u_bear_8_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_8_2' + elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_8_3' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_8_4' + elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_8_5' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_8_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_8_7' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_u_bear_7_1' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_7_2' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_7_3' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_7_4' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_7_5' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_7_6' + elif (last_candle['rsi_14'] < 53.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_7_7' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_u_bear_6_1' + elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_6_2' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_6_3' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_6_4' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_6_5' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_6_6' + elif (last_candle['rsi_14'] < 55.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_6_7' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_u_bear_5_1' + elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_5_2' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_5_3' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_5_4' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_5_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_5_6' + elif (last_candle['rsi_14'] < 59.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_5_7' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_u_bear_4_1' + elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_4_2' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_4_3' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_4_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_4_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_4_6' + elif (last_candle['rsi_14'] < 63.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_4_7' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 40.0): + return True, 'sell_profit_u_bear_3_1' + elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_3_2' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_3_3' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_3_4' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_3_5' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_3_6' + elif (last_candle['rsi_14'] < 57.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_3_7' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 39.0): + return True, 'sell_profit_u_bear_2_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_2_2' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_2_3' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_2_4' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_2_5' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_2_6' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_2_7' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 38.0): + return True, 'sell_profit_u_bear_1_1' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): + return True, 'sell_profit_u_bear_1_2' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_1_3' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_1_4' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_u_bear_1_5' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2): + return True, 'sell_profit_u_bear_1_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_u_bear_1_7' + + return False, None + + def sell_recover(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple: + if (max_loss > 0.09): + if 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_1_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_2_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_3_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_4_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_5_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_6_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_7_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_8_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_9_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_10_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_11_1' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_rc_12_1' + + return False, None + + def sell_r(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple: + if 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.4): + return True, 'sell_profit_w_1_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 75.0): + return True, 'sell_profit_w_1_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_w_1_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_1_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_1_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 360.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.9): + return True, 'sell_profit_w_1_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_1_9' + elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_1_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 320.0): + return True, 'sell_profit_w_1_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_1_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 70.0): + return True, 'sell_profit_w_1_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_1_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 300.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_1_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_1_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_1_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_1_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_1_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 75.0): + return True, 'sell_profit_w_1_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_1_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 280.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_1_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_1_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_1_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_1_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_1_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_1_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_1_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_1_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_1_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_1_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_1_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_1_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_1_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_1_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_1_48' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_1_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_1_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_1_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_1_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_1_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_1_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_1_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_1_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_1_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_1_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_1_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_1_63' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_1_65' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_1_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_1_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_68' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_1_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_1_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_1_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_1_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_1_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_1_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_1_76' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_78' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_1_83' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_1_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_1_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_1_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_1_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_1_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_1_91' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_1_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_1_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_1_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_1_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_1_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_1_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_1_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_1_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_1_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_1_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_1_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_1_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_1_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_1_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_1_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_1_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_1_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_1_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_1_113' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.5): + return True, 'sell_profit_w_2_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_2_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_w_2_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_2_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_2_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 350.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9): + return True, 'sell_profit_w_2_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_2_9' + elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_2_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 300.0): + return True, 'sell_profit_w_2_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 250.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_2_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 69.0): + return True, 'sell_profit_w_2_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_2_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 290.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_2_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_2_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_2_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_2_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_2_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_2_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_2_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_2_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_2_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_2_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_2_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_2_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_2_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_2_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_2_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_2_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_2_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_2_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_2_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_2_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_2_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_2_48' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_2_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_2_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_2_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_2_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_2_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_2_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_2_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_2_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_2_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_2_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_2_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_2_63' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_2_65' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_2_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_2_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_68' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_2_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_2_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_2_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_2_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_2_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_2_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_2_76' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_78' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_2_83' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_2_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_2_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_2_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_2_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_2_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_2_91' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_2_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_2_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_2_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_2_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_2_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_2_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_2_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_2_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_2_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_2_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_2_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_2_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_2_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_2_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_2_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_2_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_2_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_2_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_2_113' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.6): + return True, 'sell_profit_w_3_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_3_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_w_3_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_3_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_3_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 340.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_6' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_3_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 68.0): + return True, 'sell_profit_w_3_9' + elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_3_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 290.0): + return True, 'sell_profit_w_3_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 240.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_3_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 68.0): + return True, 'sell_profit_w_3_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_3_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 280.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_3_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_3_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_3_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_3_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_3_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_3_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_3_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_3_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_3_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_3_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_3_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_3_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_3_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_3_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_3_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_3_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_3_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_3_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_3_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_3_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_3_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_3_48' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_3_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_3_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_3_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_3_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_3_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_3_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_3_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_3_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_3_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_3_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_3_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_3_63' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_3_65' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_3_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_3_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_68' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_3_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_3_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_3_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_3_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_3_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_3_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_3_76' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_78' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_3_83' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_3_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_3_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_3_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_3_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_3_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_3_91' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_3_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_3_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_3_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_3_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_3_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_3_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_3_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_3_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_3_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_3_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_3_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_3_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_3_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_3_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_3_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_3_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_3_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_3_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 57.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_3_113' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.7): + return True, 'sell_profit_w_4_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_4_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_w_4_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_4_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 70.0): + return True, 'sell_profit_w_4_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_6' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_4_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 66.0): + return True, 'sell_profit_w_4_9' + elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_4_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 280.0): + return True, 'sell_profit_w_4_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 230.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_4_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 67.0): + return True, 'sell_profit_w_4_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_4_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 270.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_4_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_4_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_4_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_4_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_4_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_4_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_4_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_4_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_4_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_4_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_4_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_4_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_4_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_4_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_4_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_4_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_4_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_4_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_4_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_4_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_4_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_4_48' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_4_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_4_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_4_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_4_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_4_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_4_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_4_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_4_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_4_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_4_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_4_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_4_63' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_4_65' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_4_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_4_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_68' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_4_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_4_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_4_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_4_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_4_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_4_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_4_76' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_78' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_4_83' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_4_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_4_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_4_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_4_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_4_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_4_91' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_4_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_4_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_4_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_4_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_4_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_4_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_4_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_4_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_4_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_4_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_4_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_4_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_4_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_4_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_4_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_4_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_4_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_4_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 56.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_4_113' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.8): + return True, 'sell_profit_w_5_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_5_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 54.0): + return True, 'sell_profit_w_5_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 70.0): + return True, 'sell_profit_w_5_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 69.0): + return True, 'sell_profit_w_5_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_6' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_5_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 64.0): + return True, 'sell_profit_w_5_9' + elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_5_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 270.0): + return True, 'sell_profit_w_5_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 220.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_5_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 66.0): + return True, 'sell_profit_w_5_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_5_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_5_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_5_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_5_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_5_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_5_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_5_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_5_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 200.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_5_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_5_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_5_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_5_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_5_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_5_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_5_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 57.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_5_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_5_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_5_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_5_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_5_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_5_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_5_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_5_48' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_5_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_5_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_5_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_5_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_5_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_5_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_5_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_5_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_5_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_5_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_5_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_5_63' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_5_65' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_5_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_5_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_68' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_5_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_5_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_5_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_5_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_5_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_5_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_5_76' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_78' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_5_83' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_5_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_5_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_5_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_5_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_5_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_5_91' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_5_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_5_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_5_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_5_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_5_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_5_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_5_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_5_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_5_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_5_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_5_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_5_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_5_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 57.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_5_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_5_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_5_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_5_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_5_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 55.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_5_113' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.9): + return True, 'sell_profit_w_6_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_6_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 52.0): + return True, 'sell_profit_w_6_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_6_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 70.0): + return True, 'sell_profit_w_6_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_6' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_6_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 66.0): + return True, 'sell_profit_w_6_9' + elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_6_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0): + return True, 'sell_profit_w_6_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 230.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_6_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 67.0): + return True, 'sell_profit_w_6_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_6_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 270.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_6_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_6_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_6_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_6_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_6_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_6_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_6_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_6_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_6_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_6_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_6_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_6_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_6_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_6_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_6_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_6_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_6_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_6_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_6_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_6_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_6_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_6_48' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_6_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_6_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_6_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_6_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_6_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_6_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_6_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_6_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_6_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_6_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_6_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_6_63' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_6_65' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_6_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_6_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_68' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_6_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_6_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_6_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_6_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_6_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_6_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_6_76' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_78' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_6_83' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_6_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_6_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_6_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_6_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_6_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_6_91' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_6_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_6_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_6_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_6_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_6_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_6_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_6_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_6_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_6_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_6_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_6_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_6_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_6_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_6_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_6_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_6_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_6_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_6_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 56.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_6_113' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -1.0): + return True, 'sell_profit_w_7_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_7_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_w_7_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_7_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_7_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 300.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_6' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_7_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 68.0): + return True, 'sell_profit_w_7_9' + elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_7_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 270.0): + return True, 'sell_profit_w_7_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 240.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_7_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 68.0): + return True, 'sell_profit_w_7_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_7_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 280.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_7_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_7_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_7_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_7_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_7_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_7_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_7_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_7_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_7_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_7_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_7_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_7_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_7_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_7_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_7_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_7_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_7_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_7_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_7_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_7_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_7_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_7_48' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_7_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_7_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_7_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_7_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_7_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_7_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_7_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_7_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_7_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_7_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_7_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_7_63' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_7_65' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_7_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_7_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_68' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_7_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_7_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_7_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_7_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_7_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_7_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_7_76' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_78' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_7_83' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_7_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_7_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_7_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_7_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_7_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_7_91' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_7_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_7_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_7_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_7_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_7_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_7_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_7_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_7_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_7_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_7_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_7_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_7_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_7_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_7_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_7_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_7_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_7_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_7_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 57.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_7_113' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -1.2): + return True, 'sell_profit_w_8_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_8_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_w_8_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_8_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_8_5' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_8_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 70.0): + return True, 'sell_profit_w_8_9' + elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_8_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 280.0): + return True, 'sell_profit_w_8_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 250.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_8_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 69.0): + return True, 'sell_profit_w_8_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_8_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 290.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_8_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_8_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_8_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_8_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_8_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_8_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_8_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_8_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_8_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_8_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_8_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_8_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_8_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_8_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_8_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_8_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_8_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_8_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_8_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_8_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_8_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_8_48' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_8_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_8_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_8_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_8_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_8_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_8_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_8_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_8_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_8_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_8_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_8_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_8_63' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_8_65' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_8_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_8_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_68' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_8_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_8_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_8_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_8_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_8_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_8_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_8_76' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_78' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_8_83' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_8_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_8_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_8_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_8_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_8_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_8_91' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_8_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_8_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_8_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_8_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_8_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_8_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_8_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_8_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_8_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_8_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_8_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_8_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_8_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_8_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_8_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_8_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_8_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_8_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_8_113' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.2): + return True, 'sell_profit_w_9_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 75.0): + return True, 'sell_profit_w_9_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_w_9_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_9_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 73.0): + return True, 'sell_profit_w_9_5' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_9_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 72.0): + return True, 'sell_profit_w_9_9' + elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): + return True, 'sell_profit_w_9_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 290.0): + return True, 'sell_profit_w_9_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_9_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 70.0): + return True, 'sell_profit_w_9_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_9_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 300.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_9_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_9_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_9_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_9_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_9_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 75.0): + return True, 'sell_profit_w_9_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_9_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 280.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_9_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_9_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_9_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_9_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_9_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_9_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_9_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_9_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_9_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_9_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_9_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_9_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_9_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_9_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_9_48' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_9_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_9_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_9_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_9_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_9_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_9_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_9_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_9_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_9_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_9_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_9_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_9_63' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_9_65' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_9_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_9_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_68' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_9_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_9_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_9_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_9_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_9_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_9_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_9_76' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_78' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_9_83' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_9_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_9_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_9_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_9_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_9_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_9_91' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_9_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_9_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_9_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_9_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_9_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_9_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_9_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_9_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_9_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_9_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_9_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_9_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_9_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_9_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_9_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_9_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_9_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_9_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_9_113' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.0): + return True, 'sell_profit_w_10_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 76.0): + return True, 'sell_profit_w_10_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_w_10_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 75.0): + return True, 'sell_profit_w_10_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_10_5' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9): + return True, 'sell_profit_w_10_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 74.0): + return True, 'sell_profit_w_10_9' + elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 240.0): + return True, 'sell_profit_w_10_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 300.0): + return True, 'sell_profit_w_10_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 270.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_10_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_10_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_10_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_10_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_10_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_10_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_10_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_10_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 76.0): + return True, 'sell_profit_w_10_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_10_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 300.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_10_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_10_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_10_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_10_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_10_37' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_10_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_10_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_10_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_10_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_10_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_10_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_10_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_10_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_10_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_10_48' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_10_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_10_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_10_51' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_10_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_10_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_10_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_10_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_10_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_10_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_10_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_10_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_10_63' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_10_65' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_10_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_10_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_68' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_10_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_10_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_10_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_10_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_10_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_10_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_10_76' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_78' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_10_83' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_10_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_10_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_10_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_10_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_10_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_10_91' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_10_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_10_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_10_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_10_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_10_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_10_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_10_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_10_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_10_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_10_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_10_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_10_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_10_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_10_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_10_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_10_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_10_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_10_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_10_113' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.5): + return True, 'sell_profit_w_11_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 77.0): + return True, 'sell_profit_w_11_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_w_11_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 76.0): + return True, 'sell_profit_w_11_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 75.0): + return True, 'sell_profit_w_11_5' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 340.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_6' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.9): + return True, 'sell_profit_w_11_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 75.0): + return True, 'sell_profit_w_11_9' + elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 260.0): + return True, 'sell_profit_w_11_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 310.0): + return True, 'sell_profit_w_11_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 280.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_11_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_11_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_11_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_11_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_11_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_11_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_11_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_11_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 77.0): + return True, 'sell_profit_w_11_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_11_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 320.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_11_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_11_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_11_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_11_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_11_37' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -10.0): + return True, 'sell_profit_w_11_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_11_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_11_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_11_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_11_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_11_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_11_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_11_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_11_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_11_48' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_11_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_11_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_11_51' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_11_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_11_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_11_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_11_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_11_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_11_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_11_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_11_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_11_63' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_11_65' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_11_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_11_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_68' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_11_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_11_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_11_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_11_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_11_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_11_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_11_76' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_78' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_11_83' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_11_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_11_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_11_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_11_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_11_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_11_91' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_11_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_11_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_11_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_11_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_11_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_11_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_11_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_11_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_11_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_11_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_11_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_11_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_11_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_11_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_11_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_11_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_11_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_11_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_11_113' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.4): + return True, 'sell_profit_w_12_1' + elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_w_12_2' + elif (last_candle['r_14'] >= -2.0) and (last_candle['rsi_14'] < 40.0): + return True, 'sell_profit_w_12_3' + elif (last_candle['r_14'] >= -2.5) and (last_candle['rsi_14'] > 77.0): + return True, 'sell_profit_w_12_4' + elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 76.0): + return True, 'sell_profit_w_12_5' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 360.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_6' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_7' + elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.9): + return True, 'sell_profit_w_12_8' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 76.0): + return True, 'sell_profit_w_12_9' + elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 280.0): + return True, 'sell_profit_w_12_10' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 320.0): + return True, 'sell_profit_w_12_11' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 290.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_12_12' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_13' + elif (last_candle['r_14'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 71.0): + return True, 'sell_profit_w_12_14' + elif (last_candle['r_14'] > -0.1) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_12_15' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_12_16' + elif (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_w_12_17' + elif (last_candle['r_14'] > -18.0) and (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_12_18' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_19' + elif (last_candle['r_64'] > -20.0) and (last_candle['r_96'] > -15.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_20' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_21' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_22' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_12_24' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_w_12_25' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_26' + elif (last_candle ['r_14'] > -3.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_27' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] == 0.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_w_12_28' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_29' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.85): + return True, 'sell_profit_w_12_30' + elif (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 340.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_12_31' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 260.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_32' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_33' + elif (last_candle['r_14'] == 0.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 220.0) and (last_candle['r_14_15m'] > -4.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_12_34' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['r_480_1h'] > -15.0): + return True, 'sell_profit_w_12_35' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['r_96'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_12_36' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20']): + return True, 'sell_profit_w_12_37' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.9) and (last_candle['r_64_15m'] > -5.0): + return True, 'sell_profit_w_12_38' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['cmf_1h'] < -0.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_12_39' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_40' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0) and (last_candle['close'] < last_candle['ema_200']): + return True, 'sell_profit_w_12_41' + elif (last_candle['r_480'] < -75.0) and (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -85.0): + return True, 'sell_profit_w_12_42' + elif (last_candle['r_14'] > -5.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_12_43' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 200.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_12_44' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_12_45' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_12_46' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_14_15m'] > -5.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_12_47' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_64'] > -12.0) and (last_candle['r_96'] > -12.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_12_48' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -20.0) and (last_candle['ema_vwma_osc_96'] < -0.0): + return True, 'sell_profit_w_12_49' + elif (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_12_50' + elif (last_candle['r_96'] < -75.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_12_51' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_12_52' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_53' + elif (last_candle['r_96'] > -25.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 280.0) and (last_candle['sma_200_dec_20']) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_12_54' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['r_14_15m'] > -20.0): + return True, 'sell_profit_w_12_55' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['rsi_14_1h'] > 70.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_12_56' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] > -20.0) and (last_candle['rsi_14_1h'] > 50.0): + return True, 'sell_profit_w_12_57' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.8) and (last_candle['cmf_1h'] < -0.2) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_12_58' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_59' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -6.0) and (last_candle['r_64'] > -6.0) and (last_candle['r_96'] > -6.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] > -30.0): + return True, 'sell_profit_w_12_60' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_96'] > -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_61' + elif (last_candle['r_14'] > -6.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 200.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_12_62' + elif (last_candle['r_14'] > -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['r_480_1h'] > -25.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_w_12_63' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_64' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0): + return True, 'sell_profit_w_12_65' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_12_66' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_w_12_67' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_68' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_12_69' + elif (last_candle['r_480'] < -50.0) and (last_candle['r_96'] < -70.0) and (last_candle['r_14'] > -75.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3) and (last_candle['r_96_15m'] < -60.0): + return True, 'sell_profit_w_12_70' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_12_71' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_w_12_72' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_32'] > -5.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 250.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_12_73' + elif (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_74' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_w_12_75' + elif (last_candle['r_14'] > -1.0) and (last_candle['r_64'] > -1.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_12_76' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_77' + elif (last_candle['r_14'] > -6.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.2) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_78' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_79' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_80' + elif (last_candle['r_14'] > -2.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_81' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_82' + elif (last_candle['r_14'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0): + return True, 'sell_profit_w_12_83' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_84' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_85' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['r_480'] < -75.0) and (last_candle['r_96_15m'] < -75.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_12_86' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_w_12_87' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 240.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_w_12_88' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_12_89' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_12_90' + elif (last_candle['r_14'] == 0.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_15m'] < -0.25): + return True, 'sell_profit_w_12_91' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_w_12_92' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_w_12_93' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_32'] > -14.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_94' + elif (last_candle['r_14'] > -3.0) and (last_candle['r_96'] > -14.0) and (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_1h'] > 0.3): + return True, 'sell_profit_w_12_95' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.3): + return True, 'sell_profit_w_12_96' + elif (last_candle['r_14'] > -14.0) and (last_candle['r_64'] > -8.0) and (last_candle['r_96'] > -8.0) and (last_candle['rsi_14'] > 81.0) and (last_candle['rsi_14_1h'] < 60.0): + return True, 'sell_profit_w_12_97' + elif (last_candle['r_14'] > -5.0) and (last_candle['r_64'] > -5.0) and (last_candle['r_96'] > -5.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20_15m']): + return True, 'sell_profit_w_12_98' + elif (last_candle['r_14'] > -12.0) and (last_candle['r_480'] > -25.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_w_12_99' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25): + return True, 'sell_profit_w_12_100' + elif (last_candle['r_14'] > -14.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_101' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_102' + elif (last_candle['r_14'] > -8.0) and (last_candle['r_64'] > -10.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_w_12_103' + elif (last_candle['r_96'] > -50.0) and (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] > -50.0): + return True, 'sell_profit_w_12_104' + elif (last_candle['r_14'] > -40.0) and (last_candle['rsi_14'] > 81.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_w_12_105' + elif (last_candle['r_14'] > -15.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_12_106' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_64'] > -10.0) and (last_candle['r_96'] > -10.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_1h'] > 65.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_12_107' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_480'] > -30.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_w_12_108' + elif (last_candle['r_480'] > -16.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.1) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_12_109' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_96'] > -20.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_12_110' + elif (last_candle['r_14'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_w_12_111' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_w_12_112' + elif (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_w_12_113' + + return False, None + + def sell_trail(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple: + if 0.02 > current_profit >= 0.01: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_1_1' + elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_1_2' + elif 0.03 > current_profit >= 0.02: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_2_1' + elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_2_2' + elif 0.04 > current_profit >= 0.03: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_3_1' + elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_3_2' + elif 0.05 > current_profit >= 0.04: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_4_1' + elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_4_2' + elif 0.06 > current_profit >= 0.05: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_5_1' + elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_5_2' + elif 0.07 > current_profit >= 0.06: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_6_1' + elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_6_2' + elif 0.08 > current_profit >= 0.07: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_7_1' + elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_7_2' + elif 0.09 > current_profit >= 0.08: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_8_1' + elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_8_2' + elif 0.1 > current_profit >= 0.09: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_9_1' + elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_9_2' + elif 0.12 > current_profit >= 0.1: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_10_1' + elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_10_2' + elif 0.2 > current_profit >= 0.12: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_11_1' + elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_11_2' + elif current_profit >= 0.2: + if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 50.0) and (last_candle['rsi_14'] < previous_candle_1['rsi_14']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_t_12_1' + elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_t_12_2' + + return False, None + + def sell_dec_main(self, current_profit: float, last_candle) -> tuple: + if (last_candle['close'] > last_candle['ema_200']): + if 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cti'] < -0.75): + return True, 'sell_profit_d_o_1_1' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_1_2' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_1_3' + elif (last_candle['rsi_14'] > 78.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_1_4' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_1_5' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['rsi_14_15m'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_1_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_1_7' + elif (last_candle['rsi_14'] > 70.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_1_8' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_1_9' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_1_10' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_1_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_1_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_1_13' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_1_14' + elif (last_candle['rsi_14'] > 66.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_1_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_1_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_1_17' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_1_18' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_1_19' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_1_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_1_21' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_1_22' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 30.0): + return True, 'sell_profit_d_o_1_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_1_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_1_25' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_1_26' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_1_27' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_1_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_1_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_1_30' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_1_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_1_32' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_1_33' + elif (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_1_34' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_1_35' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_1_36' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_1_37' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_1_38' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_1_39' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_1_40' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_1_41' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cti'] > 0.5): + return True, 'sell_profit_d_o_2_1' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_2_2' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_2_3' + elif (last_candle['rsi_14'] > 77.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_2_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_2_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_2_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_2_7' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_2_8' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_2_9' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_2_10' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_2_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_2_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_2_13' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_2_14' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_2_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_2_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_2_17' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_2_18' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_2_19' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_2_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_2_21' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_2_22' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 30.0): + return True, 'sell_profit_d_o_2_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_2_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_2_25' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_2_26' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_2_27' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_2_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_2_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_2_30' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_2_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_2_32' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_2_33' + elif (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_2_34' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_2_35' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_2_36' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_2_37' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_2_38' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_2_39' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_2_40' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_2_41' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cti'] > 0.4): + return True, 'sell_profit_d_o_3_1' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): + return True, 'sell_profit_d_u_3_2' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_3_3' + elif (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_3_4' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_3_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_3_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_3_7' + elif (last_candle['rsi_14'] > 64.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_3_8' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_3_9' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_3_10' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_3_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_3_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_3_13' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_3_14' + elif (last_candle['rsi_14'] > 64.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_3_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_3_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_3_17' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_3_18' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_3_19' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_3_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_3_21' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_3_22' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0): + return True, 'sell_profit_d_o_3_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_3_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_3_25' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_3_26' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_3_27' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_3_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_3_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_3_30' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_3_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_3_32' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_3_33' + elif (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_3_34' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_3_35' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_3_36' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_3_37' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_3_38' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_3_39' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_3_40' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_3_41' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < 0.05) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['cti'] > 0.3): + return True, 'sell_profit_d_o_4_1' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): + return True, 'sell_profit_d_o_4_2' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_4_3' + elif (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_4_4' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_4_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_4_6' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_4_7' + elif (last_candle['rsi_14'] > 63.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_4_8' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_4_9' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_4_10' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_4_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_4_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_4_13' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_4_14' + elif (last_candle['rsi_14'] > 63.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_4_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_4_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_4_17' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_4_18' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_4_19' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_4_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_4_21' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_4_22' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0): + return True, 'sell_profit_d_o_4_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_4_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_4_25' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_4_26' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_4_27' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_4_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_4_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_4_30' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_4_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_4_32' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_4_33' + elif (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_4_34' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_4_35' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_4_36' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_4_37' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_4_38' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_4_39' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_4_40' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_4_41' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cti'] > 0.4): + return True, 'sell_profit_d_o_5_1' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): + return True, 'sell_profit_d_o_5_2' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_5_3' + elif (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_5_4' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_5_5' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_5_6' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_5_7' + elif (last_candle['rsi_14'] > 62.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_5_8' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_5_9' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_5_10' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_5_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_5_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_5_13' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_5_14' + elif (last_candle['rsi_14'] > 62.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_5_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_5_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_5_17' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_5_18' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_5_19' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_5_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_5_21' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_5_22' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_5_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_5_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_5_25' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_5_26' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_5_27' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_5_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_5_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_5_30' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_5_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_5_32' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_5_33' + elif (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_5_34' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_5_35' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_5_36' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_5_37' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_5_38' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_5_39' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_5_40' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_5_41' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cti'] > 0.5): + return True, 'sell_profit_d_o_6_1' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): + return True, 'sell_profit_d_o_6_2' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_6_3' + elif (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_6_4' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_6_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_6_6' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_6_7' + elif (last_candle['rsi_14'] > 63.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_6_8' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_6_9' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_6_10' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_6_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_6_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_6_13' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_6_14' + elif (last_candle['rsi_14'] > 63.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_6_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_6_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_6_17' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_6_18' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_6_19' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_6_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_6_21' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_6_22' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_6_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_6_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_6_25' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_6_26' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_6_27' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_6_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_6_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_6_30' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_6_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_6_32' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_6_33' + elif (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_6_34' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_6_35' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_6_36' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_6_37' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_6_38' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_6_39' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_6_40' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_6_41' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cti'] > 0.5): + return True, 'sell_profit_d_o_7_1' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): + return True, 'sell_profit_d_o_7_2' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_7_3' + elif (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_7_4' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_7_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_7_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_7_7' + elif (last_candle['rsi_14'] > 64.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_7_8' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_7_9' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_7_10' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_7_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_7_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_7_13' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_7_14' + elif (last_candle['rsi_14'] > 64.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_7_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_7_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_7_17' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_7_18' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_7_19' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_7_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_7_21' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_7_22' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_7_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_7_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_7_25' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_7_26' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_7_27' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_7_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_7_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_7_30' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_7_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_7_32' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_7_33' + elif (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_7_34' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_7_35' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_7_36' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_7_37' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_7_38' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_7_39' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_7_40' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_7_41' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['cti_1h'] > 0.5): + return True, 'sell_profit_d_o_8_1' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_8_2' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_8_3' + elif (last_candle['rsi_14'] > 77.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_8_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_8_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_8_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_8_7' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_8_8' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_8_9' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_8_10' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_8_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_8_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_8_13' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_8_14' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_8_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_8_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_8_17' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_8_18' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_8_19' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_8_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_8_21' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_8_22' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_8_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_8_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_8_25' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_8_26' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_8_27' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_8_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_8_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_8_30' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_8_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_8_32' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_8_33' + elif (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_8_34' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_8_35' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_8_36' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_8_37' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_8_38' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_8_39' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_8_40' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_8_41' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 42.0) and (last_candle['cti'] > 0.5): + return True, 'sell_profit_d_o_9_1' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_9_2' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_9_3' + elif (last_candle['rsi_14'] > 78.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_9_4' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_9_5' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['rsi_14_15m'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_9_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_9_7' + elif (last_candle['rsi_14'] > 66.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_9_8' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_9_9' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_9_10' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_9_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_9_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_9_13' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_9_14' + elif (last_candle['rsi_14'] > 66.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_9_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_9_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_9_17' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_9_18' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_9_19' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_9_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_9_21' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_9_22' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_9_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_9_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_9_25' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_9_26' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_9_27' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_9_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_9_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_9_30' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_9_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_9_32' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_9_33' + elif (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_9_34' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_9_35' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_9_36' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_9_37' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_9_38' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_9_39' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_9_40' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_9_41' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['cti'] > 0.5): + return True, 'sell_profit_d_o_10_1' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 36.0): + return True, 'sell_profit_d_o_10_2' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_10_3' + elif (last_candle['rsi_14'] > 79.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_10_4' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_10_5' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_10_6' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_10_7' + elif (last_candle['rsi_14'] > 67.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_10_8' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_10_9' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_10_10' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_10_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_10_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_10_13' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_10_14' + elif (last_candle['rsi_14'] > 67.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_10_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_10_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_10_17' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_10_18' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_10_19' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_10_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_10_21' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_10_22' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_10_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_10_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_10_25' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_10_26' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_10_27' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_10_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_10_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_10_30' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_10_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_10_32' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_10_33' + elif (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_10_34' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_10_35' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_10_36' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_10_37' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_10_38' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_10_39' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_10_40' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_10_41' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['cti'] > 0.5): + return True, 'sell_profit_d_o_11_1' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 34.0): + return True, 'sell_profit_d_o_11_2' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 33.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_11_3' + elif (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_11_4' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_11_5' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['rsi_14_15m'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_11_6' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['rsi_14_15m'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_11_7' + elif (last_candle['rsi_14'] > 68.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_11_8' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_11_9' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_11_10' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_11_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_11_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_11_13' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_11_14' + elif (last_candle['rsi_14'] > 68.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_11_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_11_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_11_17' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_11_18' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_11_19' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_11_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_11_21' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_11_22' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_11_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_11_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_11_25' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_11_26' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_11_27' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_11_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_11_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_11_30' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_11_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_11_32' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_11_33' + elif (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_11_34' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_11_35' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_11_36' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_11_37' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_11_38' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_11_39' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_11_40' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_11_41' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['cti'] > 0.5): + return True, 'sell_profit_d_o_12_1' + elif (last_candle['rsi_14'] < 35.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 32.0): + return True, 'sell_profit_d_o_12_2' + elif (last_candle['rsi_14'] < 35.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_12_3' + elif (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_o_12_4' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_o_12_5' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['rsi_14_15m'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_12_6' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['rsi_14_15m'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_12_7' + elif (last_candle['rsi_14'] > 69.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_o_12_8' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_o_12_9' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_o_12_10' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_o_12_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_o_12_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_o_12_13' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_12_14' + elif (last_candle['rsi_14'] > 69.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_12_15' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_12_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_o_12_17' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_o_12_18' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_o_12_19' + elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_12_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_12_21' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_12_22' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_o_12_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_12_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_o_12_25' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_12_26' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_o_12_27' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_12_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_o_12_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_o_12_30' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_o_12_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_o_12_32' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_o_12_33' + elif (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_o_12_34' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_o_12_35' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_12_36' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_12_37' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_o_12_38' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_o_12_39' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_o_12_40' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_o_12_41' + else: + if 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 35.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_1_1' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): + return True, 'sell_profit_d_u_1_2' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_1_3' + elif (last_candle['rsi_14'] > 77.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_1_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_1_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_1_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_1_7' + elif (last_candle['rsi_14'] > 68.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_1_8' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_1_9' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_1_10' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_1_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_1_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_1_13' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_1_14' + elif (last_candle['rsi_14'] > 63.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_1_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_1_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_1_17' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_1_18' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_1_19' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_1_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_1_21' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_1_22' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 30.0): + return True, 'sell_profit_d_u_1_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_1_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_1_25' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_1_26' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_1_27' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_1_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_1_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_1_30' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_1_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_1_32' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_1_33' + elif (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_1_34' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_1_35' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_1_36' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_1_37' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_1_38' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_1_39' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_1_40' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_1_41' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_2_1' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): + return True, 'sell_profit_d_u_2_2' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_2_3' + elif (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_2_4' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_2_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_2_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_2_7' + elif (last_candle['rsi_14'] > 62.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_2_8' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_2_9' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_2_10' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_2_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_2_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_2_13' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_2_14' + elif (last_candle['rsi_14'] > 62.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_2_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_2_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_2_17' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_2_18' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_2_19' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_2_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_2_21' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_2_22' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 30.0): + return True, 'sell_profit_d_u_2_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_2_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_2_25' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_2_26' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_2_27' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_2_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_2_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_2_30' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_2_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_2_32' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_2_33' + elif (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_2_34' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_2_35' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_2_36' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_2_37' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_2_38' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_2_39' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_2_40' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_2_41' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.5) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_3_1' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): + return True, 'sell_profit_d_u_3_2' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_3_3' + elif (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_3_4' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_3_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_3_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_3_7' + elif (last_candle['rsi_14'] > 61.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_3_8' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_3_9' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_3_10' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_3_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 57.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_3_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_3_13' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_3_14' + elif (last_candle['rsi_14'] > 61.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_3_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_3_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_3_17' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_3_18' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_3_19' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_3_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_3_21' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_3_22' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0): + return True, 'sell_profit_d_u_3_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_3_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_3_25' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_3_26' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_3_27' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_3_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_3_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_3_30' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_3_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_3_32' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_3_33' + elif (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_3_34' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_3_35' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_3_36' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_3_37' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_3_38' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_3_39' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_3_40' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_3_41' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_4_1' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): + return True, 'sell_profit_d_u_4_2' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_4_3' + elif (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_4_4' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_4_5' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_4_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_4_7' + elif (last_candle['rsi_14'] > 60.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_4_8' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_4_9' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_4_10' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_4_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 56.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_4_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_4_13' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_4_14' + elif (last_candle['rsi_14'] > 60.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_4_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_4_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_4_17' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_4_18' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_4_19' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_4_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_4_21' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_4_22' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0): + return True, 'sell_profit_d_u_4_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_4_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_4_25' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_4_26' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_4_27' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_4_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_4_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_4_30' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_4_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_4_32' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_4_33' + elif (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_4_34' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_4_35' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_4_36' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_4_37' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_4_38' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_4_39' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_4_40' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_4_41' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.5) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_5_1' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): + return True, 'sell_profit_d_u_5_2' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_5_3' + elif (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_5_4' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_5_5' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['rsi_14_15m'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_5_6' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['rsi_14_15m'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_5_7' + elif (last_candle['rsi_14'] > 59.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_5_8' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_5_9' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_5_10' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_5_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 55.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_5_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_5_13' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_5_14' + elif (last_candle['rsi_14'] > 59.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_5_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_5_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_5_17' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_5_18' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_5_19' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_5_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_5_21' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_5_22' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_5_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_5_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_5_25' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_5_26' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_5_27' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_5_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_5_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_5_30' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_5_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_5_32' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_5_33' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_5_34' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_5_35' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_5_36' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_5_37' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_5_38' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_5_39' + elif (last_candle['rsi_14'] < 52.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_5_40' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_5_41' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_6_1' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 48.0): + return True, 'sell_profit_d_u_6_2' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_6_3' + elif (last_candle['rsi_14'] > 74.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_6_4' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_6_5' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_6_6' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['rsi_14_15m'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_6_7' + elif (last_candle['rsi_14'] > 60.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_6_8' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_6_9' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_6_10' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_6_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 56.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_6_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_6_13' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_6_14' + elif (last_candle['rsi_14'] > 60.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_6_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_6_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_6_17' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_6_18' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_6_19' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_6_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_6_21' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_6_22' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_6_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_6_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_6_25' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_6_26' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_6_27' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_6_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_6_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_6_30' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_6_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_6_32' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_6_33' + elif (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_6_34' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_6_35' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_6_36' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_6_37' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_6_38' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_6_39' + elif (last_candle['rsi_14'] < 51.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_6_40' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_6_41' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 38.5) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_7_1' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): + return True, 'sell_profit_d_u_7_2' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_7_3' + elif (last_candle['rsi_14'] > 75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_7_4' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_7_5' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_7_6' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_15m'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_7_7' + elif (last_candle['rsi_14'] > 61.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_7_8' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_7_9' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_7_10' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_7_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 57.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_7_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_7_13' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_7_14' + elif (last_candle['rsi_14'] > 61.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_7_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_7_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_7_17' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_7_18' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_7_19' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_7_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_7_21' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_7_22' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_7_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_7_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_7_25' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_7_26' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_7_27' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_7_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_7_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_7_30' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_7_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_7_32' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_7_33' + elif (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_7_34' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_7_35' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_7_36' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_7_37' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_7_38' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_7_39' + elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_7_40' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_7_41' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_8_1' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): + return True, 'sell_profit_d_u_8_2' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_8_3' + elif (last_candle['rsi_14'] > 76.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_8_4' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_8_5' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_8_6' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_15m'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_8_7' + elif (last_candle['rsi_14'] > 62.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_8_8' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_8_9' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_8_10' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_8_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 58.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_8_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_8_13' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_8_14' + elif (last_candle['rsi_14'] > 62.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_8_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_8_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_8_17' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_8_18' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_8_19' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_8_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_8_21' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_8_22' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_8_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_8_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_8_25' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_8_26' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_8_27' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_8_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_8_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_8_30' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_8_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_8_32' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_8_33' + elif (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_8_34' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_8_35' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_8_36' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_8_37' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_8_38' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_8_39' + elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_8_40' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_8_41' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_9_1' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): + return True, 'sell_profit_d_u_9_2' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_9_3' + elif (last_candle['rsi_14'] > 77.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_9_4' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_9_5' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_9_6' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_15m'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_9_7' + elif (last_candle['rsi_14'] > 63.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_9_8' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_9_9' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_9_10' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_9_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_9_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_9_13' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_9_14' + elif (last_candle['rsi_14'] > 63.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_9_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_9_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_9_17' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_9_18' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_9_19' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_9_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_9_21' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_9_22' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_9_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_9_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_9_25' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_9_26' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_9_27' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_9_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_9_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_9_30' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_9_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_9_32' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_9_33' + elif (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_9_34' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_9_35' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_9_36' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_9_37' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_9_38' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_9_39' + elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_9_40' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_9_41' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_10_1' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_10_2' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_10_3' + elif (last_candle['rsi_14'] > 78.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_10_4' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_10_5' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['rsi_14_15m'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_10_6' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['rsi_14_15m'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_10_7' + elif (last_candle['rsi_14'] > 64.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_10_8' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_10_9' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_10_10' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_10_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_10_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_10_13' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_10_14' + elif (last_candle['rsi_14'] > 64.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_10_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_10_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_10_17' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_10_18' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_10_19' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_10_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_10_21' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_10_22' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_10_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_10_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_10_25' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_10_26' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_10_27' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_10_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_10_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_10_30' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_10_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_10_32' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_10_33' + elif (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_10_34' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_10_35' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_10_36' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_10_37' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_10_38' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_10_39' + elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_10_40' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_10_41' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 35.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_11_1' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_11_2' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 33.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_11_3' + elif (last_candle['rsi_14'] > 79.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_11_4' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_11_5' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_11_6' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_11_7' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_11_8' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_11_9' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_11_10' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_11_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_11_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_11_13' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_11_14' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_11_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_11_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_11_17' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_11_18' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_11_19' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_11_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_11_21' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_11_22' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_11_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_11_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_11_25' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_11_26' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_11_27' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_11_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_11_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_11_30' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_11_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_11_32' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_11_33' + elif (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_11_34' + elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_11_35' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_11_36' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_11_37' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_11_38' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_11_39' + elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_11_40' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_11_41' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 33.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['cti_1h'] < -0.85): + return True, 'sell_profit_d_u_12_1' + elif (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 36.0): + return True, 'sell_profit_d_u_12_2' + elif (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_12_3' + elif (last_candle['rsi_14'] > 80.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']): + return True, 'sell_profit_d_u_12_4' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['rsi_14_1h'] < 47.0): + return True, 'sell_profit_d_u_12_5' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['rsi_14_15m'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_12_6' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['rsi_14_15m'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.4) and (last_candle['cmf_15m'] < -0.25) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_12_7' + elif (last_candle['rsi_14'] > 66.0) and (last_candle['r_480'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -90.0): + return True, 'sell_profit_d_u_12_8' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.25) and (last_candle['cti_1h'] > 0.9): + return True, 'sell_profit_d_u_12_9' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96'] < -75.0): + return True, 'sell_profit_d_u_12_10' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1): + return True, 'sell_profit_d_u_12_11' + elif (last_candle['r_14'] > -15.0) and (last_candle['r_32'] > -25.0) and (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 50.0) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['r_96_15m'] > -50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_d_u_12_12' + elif (last_candle['r_14'] > -20.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_15m'] < 40.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] < -70.0): + return True, 'sell_profit_d_u_12_13' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['r_96'] < -75.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_12_14' + elif (last_candle['rsi_14'] > 65.0) and (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_12_15' + elif (last_candle['r_14'] > -30.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_12_16' + elif (last_candle['r_14'] > -25.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -85.0) and (last_candle['r_480_1h'] > -25.0): + return True, 'sell_profit_d_u_12_17' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -80.0) and (last_candle['r_480_1h'] > -30.0): + return True, 'sell_profit_d_u_12_18' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.1) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_d_u_12_19' + elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_12_20' + elif (last_candle['r_14'] > -8.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] < -75.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_12_21' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_12_22' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0): + return True, 'sell_profit_d_u_12_23' + elif (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_12_24' + elif (last_candle['r_14'] > -10.0) and (last_candle['r_32'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.8) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_96_15m'] < -75.0): + return True, 'sell_profit_d_u_12_25' + elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['cmf_15m'] < -0.2) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_12_26' + elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 55.0): + return True, 'sell_profit_d_u_12_27' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['rsi_14_15m'] < 34.0) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_12_28' + elif (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -80.0): + return True, 'sell_profit_d_u_12_29' + elif (last_candle['r_14'] > -20.0) and (last_candle['r_480'] < -50.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -75.0): + return True, 'sell_profit_d_u_12_30' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_15m'] < -0.15) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] < -45.0) and (last_candle['r_480_1h'] > -30.0) and (last_candle['rsi_14_15m'] < 45.0): + return True, 'sell_profit_d_u_12_31' + elif (last_candle['r_480'] < -70.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 220.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -70.0) and (last_candle['cti_1h'] < -0.75): + return True, 'sell_profit_d_u_12_32' + elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0) and(last_candle['r_96_15m'] < -85.0): + return True, 'sell_profit_d_u_12_33' + elif (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 45.0): + return True, 'sell_profit_d_u_12_34' + elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_d_u_12_35' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_96_15m'] < -50.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_12_36' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_12_37' + elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] < -50.0) and (last_candle['close'] > last_candle['pivot_1d']) and (last_candle['r_96_15m'] > -40.0): + return True, 'sell_profit_d_u_12_38' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.2) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 40.0): + return True, 'sell_profit_d_u_12_39' + elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_15m']) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0): + return True, 'sell_profit_d_u_12_40' + elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['hl_pct_change_48_1h'] > 1.0) and (last_candle['btc_not_downtrend_1h'] == False): + return True, 'sell_profit_d_u_12_41' + + return False, None + + def sell_pump_main(self, current_profit: float, last_candle) -> tuple: + if (last_candle['hl_pct_change_48_1h'] > 0.9): + if (last_candle['ema_vwma_osc_96'] > 0.0): + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_p_bull_48_1_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_p_bull_48_1_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_p_bull_48_1_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_p_bull_48_1_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 49.0): + return True, 'sell_profit_p_bull_48_1_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_p_bull_48_1_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_p_bull_48_1_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_p_bull_48_1_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_p_bull_48_1_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_p_bull_48_1_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 37.0): + return True, 'sell_profit_p_bull_48_1_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 35.0): + return True, 'sell_profit_p_bull_48_1_1_1' + else: + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_p_bear_48_1_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_p_bear_48_1_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_p_bear_48_1_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 51.0): + return True, 'sell_profit_p_bear_48_1_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_p_bear_48_1_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 49.0): + return True, 'sell_profit_p_bear_48_1_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_p_bear_48_1_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_p_bear_48_1_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_p_bear_48_1_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_p_bear_48_1_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 39.0): + return True, 'sell_profit_p_bear_48_1_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 36.0): + return True, 'sell_profit_p_bear_48_1_1_1' + + if (last_candle['hl_pct_change_48_1h'] > 0.8): + if (last_candle['ema_vwma_osc_96'] > 0.0): + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 32.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bull_48_2_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bull_48_2_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bull_48_2_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.3): + return True, 'sell_profit_p_bull_48_2_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_2_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_2_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_2_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bull_48_2_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bull_48_2_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_2_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_2_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_2_1_1' + else: + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bear_48_2_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bear_48_2_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bear_48_2_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bear_48_2_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bear_48_2_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1): + return True, 'sell_profit_p_bear_48_2_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1): + return True, 'sell_profit_p_bear_48_2_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1): + return True, 'sell_profit_p_bear_48_2_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1): + return True, 'sell_profit_p_bear_48_2_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1): + return True, 'sell_profit_p_bear_48_2_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1): + return True, 'sell_profit_p_bear_48_2_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.15): + return True, 'sell_profit_p_bear_48_2_1_1' + + if (last_candle['hl_pct_change_48_1h'] > 0.5): + if (last_candle['ema_vwma_osc_96'] > 0.0): + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 32.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bull_48_3_12_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_12_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bull_48_3_11_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_11_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bull_48_3_10_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_10_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.3): + return True, 'sell_profit_p_bull_48_3_9_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_9_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_3_8_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_8_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_3_7_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_7_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_3_6_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_6_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bull_48_3_5_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_5_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bull_48_3_4_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_4_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_3_3_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_3_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_3_2_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_2_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bull_48_3_1_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bull_48_3_1_2' + else: + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bear_48_3_12_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_12_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bear_48_3_11_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_11_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.35): + return True, 'sell_profit_p_bear_48_3_10_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_10_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.3): + return True, 'sell_profit_p_bear_48_3_9_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_9_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bear_48_3_8_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_8_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bear_48_3_7_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_7_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bear_48_3_6_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_6_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bear_48_3_5_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 59.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_5_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2): + return True, 'sell_profit_p_bear_48_3_4_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_4_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bear_48_3_3_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_3_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bear_48_3_2_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_2_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.25): + return True, 'sell_profit_p_bear_48_3_1_1' + elif (last_candle['r_14'] > -12.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['r_480_1h'] > -20.0): + return True, 'sell_profit_p_bear_48_3_1_2' + + if (last_candle['hl_pct_change_36_1h'] > 0.72): + if (last_candle['ema_vwma_osc_96'] > 0.0): + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 32.0): + return True, 'sell_profit_p_bull_36_1_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 34.0): + return True, 'sell_profit_p_bull_36_1_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_p_bull_36_1_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_p_bull_36_1_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 49.0): + return True, 'sell_profit_p_bull_36_1_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_p_bull_36_1_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_p_bull_36_1_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_p_bull_36_1_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_p_bull_36_1_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 40.0): + return True, 'sell_profit_p_bull_36_1_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 36.0): + return True, 'sell_profit_p_bull_36_1_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 34.0): + return True, 'sell_profit_p_bull_36_1_1_1' + else: + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 33.0): + return True, 'sell_profit_p_bear_36_1_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 35.0): + return True, 'sell_profit_p_bear_36_1_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_p_bear_36_1_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 51.0): + return True, 'sell_profit_p_bear_36_1_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_p_bear_36_1_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 49.0): + return True, 'sell_profit_p_bear_36_1_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_p_bear_36_1_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_p_bear_36_1_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_p_bear_36_1_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_p_bear_36_1_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 37.0): + return True, 'sell_profit_p_bear_36_1_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 35.0): + return True, 'sell_profit_p_bear_36_1_1_1' + + if (last_candle['hl_pct_change_24_1h'] > 0.68): + if (last_candle['ema_vwma_osc_96'] > 0.0): + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_p_bull_24_1_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_p_bull_24_1_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_p_bull_24_1_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 51.0): + return True, 'sell_profit_p_bull_24_1_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 49.0): + return True, 'sell_profit_p_bull_24_1_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 47.0): + return True, 'sell_profit_p_bull_24_1_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 45.0): + return True, 'sell_profit_p_bull_24_1_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 43.0): + return True, 'sell_profit_p_bull_24_1_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 41.0): + return True, 'sell_profit_p_bull_24_1_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 39.0): + return True, 'sell_profit_p_bull_24_1_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 37.0): + return True, 'sell_profit_p_bull_24_1_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 35.0): + return True, 'sell_profit_p_bull_24_1_1_1' + else: + if current_profit >= 0.2: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_p_bear_24_1_12_1' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_p_bear_24_1_11_1' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_p_bear_24_1_10_1' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 52.0): + return True, 'sell_profit_p_bear_24_1_9_1' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 50.0): + return True, 'sell_profit_p_bear_24_1_8_1' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 48.0): + return True, 'sell_profit_p_bear_24_1_7_1' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 46.0): + return True, 'sell_profit_p_bear_24_1_6_1' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 44.0): + return True, 'sell_profit_p_bear_24_1_5_1' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 42.0): + return True, 'sell_profit_p_bear_24_1_4_1' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 40.0): + return True, 'sell_profit_p_bear_24_1_3_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 38.0): + return True, 'sell_profit_p_bear_24_1_2_1' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 36.0): + return True, 'sell_profit_p_bear_24_1_1_1' + + if (last_candle['hl_pct_change_24_1h'] > 0.5): + if (last_candle['ema_vwma_osc_96'] > 0.0): + if current_profit >= 0.2: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_12_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_12_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_11_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_11_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_10_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_10_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_9_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_9_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_8_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_8_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_7_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_7_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_6_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_6_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_5_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_5_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_4_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_4_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_3_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_3_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_2_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_2_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bull_24_2_1_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bull_24_2_1_2' + else: + if current_profit >= 0.2: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_12_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_12_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_11_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_11_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_10_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_10_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_9_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_9_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_8_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_8_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_7_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_7_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_6_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_6_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_5_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 60.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_5_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_4_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_4_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_3_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_3_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_2_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_2_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_14'] > -4.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 240.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0): + return True, 'sell_profit_p_bear_24_2_1_1' + elif (last_candle['r_14'] > -18.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.9) and (last_candle['sma_200_dec_20_15m']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['r_96_15m'] < -50.0) and (last_candle['r_480_1h'] < -50.0): + return True, 'sell_profit_p_bear_24_2_1_2' + + return False, None + + def sell_pivot(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple: + if (last_candle['close'] > (last_candle['res3_1d'] * 1.2)): + if (0.02 > current_profit >= 0.01): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_1_1' + elif (0.03 > current_profit >= 0.02): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_2_1' + elif (0.04 > current_profit >= 0.03): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_3_1' + elif (0.05 > current_profit >= 0.04): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_4_1' + elif (0.06 > current_profit >= 0.05): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_5_1' + elif (0.07 > current_profit >= 0.06): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_6_1' + elif (0.08 > current_profit >= 0.07): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_7_1' + elif (0.09 > current_profit >= 0.08): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_8_1' + elif (0.1 > current_profit >= 0.09): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_9_1' + elif (0.12 > current_profit >= 0.1): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_10_1' + elif (0.2 > current_profit >= 0.12): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_11_1' + elif (current_profit >= 0.2): + if (last_candle['r_14'] > -10.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 260.0) and (last_candle['cmf_15m'] < -0.1): + return True, 'sell_profit_pv_1_12_1' + + if (last_candle['close'] > (last_candle['res3_1d'] * 1.1)): + if (0.02 > current_profit >= 0.01): + if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_1_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_1_2' + elif (0.03 > current_profit >= 0.02): + if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_2_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_2_2' + elif (0.04 > current_profit >= 0.03): + if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_3_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_3_2' + elif (0.05 > current_profit >= 0.04): + if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_4_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_4_2' + elif (0.06 > current_profit >= 0.05): + if (last_candle['rsi_14'] < 47.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_5_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 61.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_5_2' + elif (0.07 > current_profit >= 0.06): + if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_6_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 62.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_6_2' + elif (0.08 > current_profit >= 0.07): + if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_7_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 63.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_7_2' + elif (0.09 > current_profit >= 0.08): + if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_8_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 64.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_8_2' + elif (0.1 > current_profit >= 0.09): + if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_9_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 65.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_9_2' + elif (0.12 > current_profit >= 0.1): + if (last_candle['rsi_14'] < 42.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_10_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 66.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_10_2' + elif (0.2 > current_profit >= 0.12): + if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_11_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_11_2' + elif (current_profit >= 0.2): + if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_12_1' + elif (last_candle['r_14'] > -3.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['cmf_15m'] < -0.1) and (last_candle['cmf_1h'] < -0.0) and (last_candle['r_96_15m'] > -35.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_2_12_2' + + if (last_candle['close'] > (last_candle['res1_1d'] * 1.0)): + if (0.02 > current_profit >= 0.01): + if (last_candle['rsi_14'] < 37.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_1_1' + elif (0.03 > current_profit >= 0.02): + if (last_candle['rsi_14'] < 38.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_2_1' + elif (0.04 > current_profit >= 0.03): + if (last_candle['rsi_14'] < 39.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_3_1' + elif (0.05 > current_profit >= 0.04): + if (last_candle['rsi_14'] < 40.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_4_1' + elif (0.06 > current_profit >= 0.05): + if (last_candle['rsi_14'] < 41.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_5_1' + elif (0.07 > current_profit >= 0.06): + if (last_candle['rsi_14'] < 40.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_6_1' + elif (0.08 > current_profit >= 0.07): + if (last_candle['rsi_14'] < 39.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_7_1' + elif (0.09 > current_profit >= 0.08): + if (last_candle['rsi_14'] < 38.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_8_1' + elif (0.1 > current_profit >= 0.09): + if (last_candle['rsi_14'] < 37.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_9_1' + elif (0.12 > current_profit >= 0.1): + if (last_candle['rsi_14'] < 36.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_10_1' + elif (0.2 > current_profit >= 0.12): + if (last_candle['rsi_14'] < 35.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_11_1' + elif (current_profit >= 0.2): + if (last_candle['rsi_14'] < 34.0) and (last_candle['r_480_1h'] > -50.0) and (last_candle['rsi_14_1h'] > 60.0): + return True, 'sell_profit_pv_3_12_1' + + if (last_candle['close'] > (last_candle['res3_1d'] * 1.8)): + if (0.02 > current_profit >= 0.01): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_1_1' + elif (0.03 > current_profit >= 0.02): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_2_1' + elif (0.04 > current_profit >= 0.03): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_3_1' + elif (0.05 > current_profit >= 0.04): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_4_1' + elif (0.06 > current_profit >= 0.05): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 48.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_5_1' + elif (0.07 > current_profit >= 0.06): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 47.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_6_1' + elif (0.08 > current_profit >= 0.07): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 46.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_7_1' + elif (0.09 > current_profit >= 0.08): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 45.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_8_1' + elif (0.1 > current_profit >= 0.09): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 44.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_9_1' + elif (0.12 > current_profit >= 0.1): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 43.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_10_1' + elif (0.2 > current_profit >= 0.12): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 42.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_11_1' + elif (current_profit >= 0.2): + if (last_candle['r_480'] > -35.0) and (last_candle['rsi_14'] < 41.0) and (last_candle['rsi_14_1h'] > 50.0) and (last_candle['r_480_1h'] > -35.0): + return True, 'sell_profit_pv_4_12_1' + + return False, None + + def sell_long_mode(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', enter_tag) -> tuple: + # Original sell signals + sell, signal_name = self.sell_long_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tag) + if sell and (signal_name is not None): + return True, signal_name + + # Stoplosses + sell, signal_name = self.sell_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time) + if sell and (signal_name is not None): + return True, signal_name + + if (0.001 < current_profit <= 0.02) and (max_profit - current_profit > 0.014): + return True, 'sell_long_t_0' + elif (0.02 < current_profit <= 0.04) and (max_profit - current_profit > 0.03): + return True, 'sell_long_t_1' + elif (0.04 < current_profit <= 0.06) and (max_profit - current_profit > 0.035): + return True, 'sell_long_t_2' + elif (0.06 < current_profit <= 0.08) and (max_profit - current_profit > 0.04): + return True, 'sell_long_t_3' + elif (0.08 < current_profit <= 0.1) and (max_profit - current_profit > 0.045): + return True, 'sell_long_t_4' + elif (0.1 < current_profit <= 0.12) and (max_profit - current_profit > 0.05): + return True, 'sell_long_t_5' + elif (0.12 < current_profit <= 0.14) and (max_profit - current_profit > 0.055): + return True, 'sell_long_t_6' + elif (0.14 < current_profit <= 0.16) and (max_profit - current_profit > 0.06): + return True, 'sell_long_t_7' + elif (0.16 < current_profit <= 0.18) and (max_profit - current_profit > 0.065): + return True, 'sell_long_t_8' + elif (0.18 < current_profit <= 0.2) and (max_profit - current_profit > 0.07): + return True, 'sell_long_t_8' + elif (0.2 < current_profit <= 0.3) and (max_profit - current_profit > 0.075): + return True, 'sell_long_t_9' + elif (0.3 < current_profit <= 0.4) and (max_profit - current_profit > 0.08): + return True, 'sell_long_t_10' + elif (0.4 < current_profit <= 0.5) and (max_profit - current_profit > 0.085): + return True, 'sell_long_t_11' + elif (0.5 < current_profit <= 1.0) and (max_profit - current_profit > 0.09): + return True, 'sell_long_t_12' + + return False, None + + def sell_long_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', enter_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 78.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_long_1_1_1' + else: + if (current_profit > 0.01): + return True, 'sell_long_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_long_2_1_1' + else: + if (current_profit > 0.01): + return True, 'sell_long_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 81.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_long_3_1_1' + else: + if (current_profit > 0.01): + return True, 'sell_long_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 77.0) and (last_candle['rsi_14_1h'] > 77.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_long_4_1_1' + else: + if (current_profit > 0.01): + return True, 'sell_long_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 78.5): + if (current_profit > 0.01): + return True, 'sell_long_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_long_7_1_1' + else: + if (current_profit > 0.01): + return True, 'sell_long_7_2_1' + + # Sell signal 8 + elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.07): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'sell_long_8_1_1' + else: + if (current_profit > 0.01): + return True, 'sell_long_8_2_1' + + return False, None + + def sell_quick_mode(self, current_profit: float, max_profit:float, last_candle, previous_candle_1) -> tuple: + if (0.09 > current_profit > 0.02) and (last_candle['rsi_14'] > 78.0): + return True, 'sell_profit_q_1' + + if (0.09 > current_profit > 0.02) and (last_candle['cti'] > 0.95): + return True, 'sell_profit_q_2' + + if (0.09 > current_profit > 0.02) and (last_candle['r_14'] >= -1.0): + return True, 'sell_profit_q_3' + + return False, None + + def sell_rapid_mode(self, trade: Trade, current_time: datetime, current_profit: float, max_profit:float, last_candle, previous_candle_1) -> tuple: + if (0.04 > current_profit > 0.01) and (last_candle['rsi_14'] > 80.0): + return True, 'sell_profit_rpd_1' + + if (0.04 > current_profit > 0.01) and (last_candle['cti'] > 0.95): + return True, 'sell_profit_rpd_2' + + if (0.04 > current_profit > 0.01) and (last_candle['r_14'] >= -0.1): + return True, 'sell_profit_rpd_3' + + is_leverage = bool(re.match(leverage_pattern, trade.pair)) + stop_index = 0 if not is_leverage else 1 + if ( + (current_profit < [-0.35, -0.35][stop_index]) + ): + return True, 'sell_stoploss_rpd_stop_1' + + return False, None + + def sell_half_mode(self, trade: Trade, current_time: datetime, current_profit: float, max_profit:float, last_candle, previous_candle_1) -> tuple: + is_leverage = bool(re.match(leverage_pattern, trade.pair)) + stop_index = 0 if not is_leverage else 1 + if ( + (current_profit < [-0.35, -0.35][stop_index]) + ): + return True, 'sell_stoploss_hlf_stop_1' + + return False, None + + def mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if self.profit_max_enabled: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def sell_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if self.profit_max_enabled: + if (previous_sell_reason in ["sell_stoploss_u_e_1"]): + if (current_profit < (previous_profit - 0.005)): + return True, previous_sell_reason + elif (previous_sell_reason in ["sell_stoploss_stop_2"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.055)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.045)): + return True, previous_sell_reason + elif (previous_sell_reason in ["sell_stoploss_doom_1", "sell_stoploss_stop_1", "sell_stoploss_rpd_stop_1", "sell_stoploss_hlf_stop_1"]): + if (current_profit < (previous_profit - 0.005)): + return True, previous_sell_reason + elif all(c in self.rapid_mode_tags for c in enter_tags): + if (current_profit < 0.01): + if ((current_profit < (previous_profit - 0.005)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if ((current_profit < (previous_profit - 0.01)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if ((current_profit < (previous_profit - 0.02)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if ((current_profit < (previous_profit - 0.025)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if ((current_profit < (previous_profit - 0.025)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if ((current_profit < (previous_profit - 0.025)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if ((current_profit < (previous_profit - 0.03)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif all(c in self.half_mode_tags for c in enter_tags): + if (0.001 <= current_profit < 0.01): + if ((current_profit < (previous_profit - 0.005)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if ((current_profit < (previous_profit - 0.01)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if ((current_profit < (previous_profit - 0.02)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if ((current_profit < (previous_profit - 0.025)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if ((current_profit < (previous_profit - 0.025)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if ((current_profit < (previous_profit - 0.025)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if ((current_profit < (previous_profit - 0.03)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (previous_sell_reason in ["sell_profit_maximizer_01"]) and (current_profit >= 0.01): + if (0.001 <= current_profit < 0.01): + if ((current_profit < (previous_profit - 0.01)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if ((current_profit < (previous_profit - 0.01)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if ((current_profit < (previous_profit - 0.02)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if ((current_profit < (previous_profit - 0.03)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if ((current_profit < (previous_profit - 0.04)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if ((current_profit < (previous_profit - 0.05)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if ((current_profit < (previous_profit - 0.06)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + else: + if (0.001 <= current_profit < 0.01): + if ((current_profit < (previous_profit - 0.005)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if ((current_profit < (previous_profit - 0.01)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if ((current_profit < (previous_profit - 0.02)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if ((current_profit < (previous_profit - 0.025)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if ((current_profit < (previous_profit - 0.03)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if ((current_profit < (previous_profit - 0.035)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if ((current_profit < (previous_profit - 0.04)) or (last_candle['rsi_14'] > 90.0)): + return True, previous_sell_reason + + return False, None + + def custom_exit(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, + current_profit: float, **kwargs): + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + if(len(dataframe) < 6): + return None + last_candle = dataframe.iloc[-1].squeeze() + previous_candle_1 = dataframe.iloc[-2].squeeze() + previous_candle_2 = dataframe.iloc[-3].squeeze() + previous_candle_3 = dataframe.iloc[-4].squeeze() + previous_candle_4 = dataframe.iloc[-5].squeeze() + previous_candle_5 = dataframe.iloc[-6].squeeze() + + enter_tag = 'empty' + if hasattr(trade, 'enter_tag') and trade.enter_tag is not None: + enter_tag = trade.enter_tag + enter_tags = enter_tag.split() + + max_profit = ((trade.max_rate - trade.open_rate) / trade.open_rate) + max_loss = ((trade.open_rate - trade.min_rate) / trade.min_rate) + + if hasattr(trade, 'select_filled_orders'): + count_of_entries = 1 + if (hasattr(trade, 'enter_side')): + filled_entries = trade.select_filled_orders(trade.enter_side) + count_of_entries = trade.nr_of_successful_entries + else: + filled_entries = trade.select_filled_orders('buy') + count_of_entries = len(filled_entries) + if count_of_entries > 1: + initial_entry = filled_entries[0] + if (initial_entry is not None and initial_entry.average is not None): + max_profit = ((trade.max_rate - initial_entry.average) / initial_entry.average) + max_loss = ((initial_entry.average - trade.min_rate) / trade.min_rate) + + sell = False + signal_name = None + is_long_mode = all(c in ['31', '32', '33', '34', '35', '36'] for c in enter_tags) + + # Long mode + if is_long_mode: + sell, signal_name = self.sell_long_mode(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tag) + + # Quick sell mode + if not sell and not is_long_mode: + if all(c in ['empty', '58', '59', '60', '61', '62', '63', '64', '65'] for c in enter_tags): + sell, signal_name = self.sell_quick_mode(current_profit, max_profit, last_candle, previous_candle_1) + + # Rapid sell mode + if not sell and not is_long_mode: + if all(c in self.rapid_mode_tags for c in enter_tags): + sell, signal_name = self.sell_rapid_mode(trade, current_time, current_profit, max_profit, last_candle, previous_candle_1) + + # Half mode sells + if not sell and not is_long_mode: + if all(c in self.half_mode_tags for c in enter_tags): + sell, signal_name = self.sell_half_mode(trade, current_time, current_profit, max_profit, last_candle, previous_candle_1) + + # Original sell signals + if not sell and not is_long_mode: + sell, signal_name = self.sell_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tag) + + # Stoplosses + if not sell and not is_long_mode: + sell, signal_name = self.sell_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time) + + # Over EMA200, main profit targets + if not sell and not is_long_mode: + sell, signal_name = self.sell_over_main(current_profit, last_candle) + + # Under EMA200, main profit targets + if not sell and not is_long_mode: + sell, signal_name = self.sell_under_main(current_profit, last_candle) + + # Recover + if not sell and not is_long_mode: + sell, signal_name = self.sell_recover(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time) + + # Williams %R based sells + if not sell and not is_long_mode: + sell, signal_name = self.sell_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time) + + # Trailing + if not sell and not is_long_mode: + sell, signal_name = self.sell_trail(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time) + + # The pair is descending + if not sell and not is_long_mode: + sell, signal_name = self.sell_dec_main(current_profit, last_candle) + + # Sell logic for pumped pairs + if not sell and not is_long_mode: + sell, signal_name = self.sell_pump_main(current_profit, last_candle) + + # Pivot points based sells + if not sell and not is_long_mode: + sell, signal_name = self.sell_pivot(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.sell_profit_target(pair, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return f"{signal_name_max}_m ( {enter_tag})" + if (current_profit > (previous_profit + 0.03)) and (previous_sell_reason not in ["sell_stoploss_stop_2"]): + # Update the target, raise it. + mark_pair, mark_signal = self.mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return f"{signal_name} ( {enter_tag})" + else: + if ( + (current_profit >= self.profit_max_threshold) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "sell_profit_maximizer_01" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if ( + (not self.profit_max_enabled) + # Enable profit maximizer for the stoplosses + or ( + (signal_name not in ["sell_profit_maximizer_01", "sell_stoploss_u_e_1", "sell_stoploss_doom_1", "sell_stoploss_stop_1", "sell_stoploss_stop_2", "sell_stoploss_rpd_stop_1", "sell_stoploss_hlf_stop_1"]) + #and (not all(c in self.half_mode_tags for c in enter_tags)) + ) + ): + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + return None + + def range_percent_change(self, dataframe: DataFrame, method, length: int) -> float: + """ + Rolling Percentage Change Maximum across interval. + + :param dataframe: DataFrame The original OHLC dataframe + :param method: High to Low / Open to Close + :param length: int The length to look back + """ + if method == 'HL': + return (dataframe['high'].rolling(length).max() - dataframe['low'].rolling(length).min()) / dataframe['low'].rolling(length).min() + elif method == 'OC': + return (dataframe['open'].rolling(length).max() - dataframe['close'].rolling(length).min()) / dataframe['close'].rolling(length).min() + else: + raise ValueError(f"Method {method} not defined!") + + def top_percent_change(self, dataframe: DataFrame, length: int) -> float: + """ + Percentage change of the current close from the range maximum Open price + + :param dataframe: DataFrame The original OHLC dataframe + :param length: int The length to look back + """ + if length == 0: + return (dataframe['open'] - dataframe['close']) / dataframe['close'] + else: + return (dataframe['open'].rolling(length).max() - dataframe['close']) / dataframe['close'] + + def informative_pairs(self): + # get access to all pairs available in whitelist. + pairs = self.dp.current_whitelist() + # Assign tf to each pair so they can be downloaded and cached for strategy. + informative_pairs = [(pair, self.info_timeframe_1h) for pair in pairs] + informative_pairs.extend([(pair, self.info_timeframe_1d) for pair in pairs]) + informative_pairs.extend([(pair, self.info_timeframe_15m) for pair in pairs]) + + if self.config['stake_currency'] in ['USDT','BUSD','USDC','DAI','TUSD','PAX','USD','EUR','GBP', 'TRY', 'BRL']: + btc_info_pair = f"BTC/{self.config['stake_currency']}" + else: + btc_info_pair = "BTC/USDT" + + informative_pairs.append((btc_info_pair, self.timeframe)) + informative_pairs.append((btc_info_pair, self.info_timeframe_1d)) + informative_pairs.append((btc_info_pair, self.info_timeframe_1h)) + informative_pairs.append((btc_info_pair, self.info_timeframe_15m)) + return informative_pairs + + def informative_1d_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_1d = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.info_timeframe_1d) + + # Top traded coins + if self.coin_metrics['top_traded_enabled']: + informative_1d = informative_1d.merge(self.coin_metrics['tt_dataframe'], on='date', how='left') + informative_1d['is_top_traded'] = informative_1d.apply(lambda row: self.is_top_coin(metadata['pair'], row, self.coin_metrics['top_traded_len']), axis=1) + column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics['top_traded_len'] + 1)] + informative_1d.drop(columns = column_names, inplace=True) + # Top grossing coins + if self.coin_metrics['top_grossing_enabled']: + informative_1d = informative_1d.merge(self.coin_metrics['tg_dataframe'], on='date', how='left') + informative_1d['is_top_grossing'] = informative_1d.apply(lambda row: self.is_top_coin(metadata['pair'], row, self.coin_metrics['top_grossing_len']), axis=1) + column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics['top_grossing_len'] + 1)] + informative_1d.drop(columns = column_names, inplace=True) + + # Pivots + informative_1d['pivot'], informative_1d['res1'], informative_1d['res2'], informative_1d['res3'], informative_1d['sup1'], informative_1d['sup2'], informative_1d['sup3'] = pivot_points(informative_1d, mode='fibonacci') + + # Smoothed Heikin-Ashi + informative_1d['open_sha'], informative_1d['close_sha'], informative_1d['low_sha'] = heikin_ashi(informative_1d, smooth_inputs=True, smooth_outputs=False, length=10) + + # S/R + res_series = informative_1d['high'].rolling(window = 5, center=True).apply(lambda row: is_resistance(row), raw=True).shift(2) + sup_series = informative_1d['low'].rolling(window = 5, center=True).apply(lambda row: is_support(row), raw=True).shift(2) + informative_1d['res_level'] = Series(np.where(res_series, np.where(informative_1d['close'] > informative_1d['open'], informative_1d['close'], informative_1d['open']), float('NaN'))).ffill() + informative_1d['res_hlevel'] = Series(np.where(res_series, informative_1d['high'], float('NaN'))).ffill() + informative_1d['sup_level'] = Series(np.where(sup_series, np.where(informative_1d['close'] < informative_1d['open'], informative_1d['close'], informative_1d['open']), float('NaN'))).ffill() + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.") + + return informative_1d + + def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.info_timeframe_1h) + + # RSI + informative_1h['rsi_14'] = ta.RSI(informative_1h, timeperiod=14) + + # EMAs + informative_1h['ema_12'] = ta.EMA(informative_1h, timeperiod=12) + informative_1h['ema_20'] = ta.EMA(informative_1h, timeperiod=20) + informative_1h['ema_25'] = ta.EMA(informative_1h, timeperiod=25) + informative_1h['ema_35'] = ta.EMA(informative_1h, timeperiod=35) + informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) + informative_1h['ema_100'] = ta.EMA(informative_1h, timeperiod=100) + informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) + + # SMA + informative_1h['sma_200'] = ta.SMA(informative_1h, timeperiod=200) + + informative_1h['sma_200_dec_20'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(20) + informative_1h['sma_200_dec_24'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(24) + + # BB + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_1h), window=20, stds=2) + informative_1h['bb20_2_low'] = bollinger['lower'] + informative_1h['bb20_2_mid'] = bollinger['mid'] + informative_1h['bb20_2_upp'] = bollinger['upper'] + + informative_1h['bb20_width'] = ((informative_1h['bb20_2_upp'] - informative_1h['bb20_2_low']) / informative_1h['bb20_2_mid']) + + # CMF + informative_1h['cmf'] = chaikin_money_flow(informative_1h, 20) + + # CTI + informative_1h['cti'] = pta.cti(informative_1h["close"], length=20) + + # CRSI (3, 2, 100) + crsi_closechange = informative_1h['close'] / informative_1h['close'].shift(1) + crsi_updown = np.where(crsi_closechange.gt(1), 1.0, np.where(crsi_closechange.lt(1), -1.0, 0.0)) + informative_1h['crsi'] = (ta.RSI(informative_1h['close'], timeperiod=3) + ta.RSI(crsi_updown, timeperiod=2) + ta.ROC(informative_1h['close'], 100)) / 3 + + # Williams %R + informative_1h['r_14'] = williams_r(informative_1h, period=14) + informative_1h['r_480'] = williams_r(informative_1h, period=480) + + # EWO + informative_1h['ewo'] = ewo(informative_1h, 50, 200) + + # ROC + informative_1h['roc_9'] = ta.ROC(informative_1h, timeperiod=9) + + # T3 Average + informative_1h['t3_avg'] = t3_average(informative_1h) + + # S/R + res_series = informative_1h['high'].rolling(window = 5, center=True).apply(lambda row: is_resistance(row), raw=True).shift(2) + sup_series = informative_1h['low'].rolling(window = 5, center=True).apply(lambda row: is_support(row), raw=True).shift(2) + informative_1h['res_level'] = Series(np.where(res_series, np.where(informative_1h['close'] > informative_1h['open'], informative_1h['close'], informative_1h['open']), float('NaN'))).ffill() + informative_1h['res_hlevel'] = Series(np.where(res_series, informative_1h['high'], float('NaN'))).ffill() + informative_1h['sup_level'] = Series(np.where(sup_series, np.where(informative_1h['close'] < informative_1h['open'], informative_1h['close'], informative_1h['open']), float('NaN'))).ffill() + + # Pump protections + informative_1h['hl_pct_change_48'] = self.range_percent_change(informative_1h, 'HL', 48) + informative_1h['hl_pct_change_36'] = self.range_percent_change(informative_1h, 'HL', 36) + informative_1h['hl_pct_change_24'] = self.range_percent_change(informative_1h, 'HL', 24) + informative_1h['hl_pct_change_12'] = self.range_percent_change(informative_1h, 'HL', 12) + informative_1h['hl_pct_change_6'] = self.range_percent_change(informative_1h, 'HL', 6) + + # 1h not strong downtrend + informative_1h['not_downtrend'] = ((informative_1h['close'] > informative_1h['close'].shift(2)) | (informative_1h['rsi_14'] > 50.0)) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.") + + return informative_1h + + def informative_15m_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_15m = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.info_timeframe_15m) + + # RSI + informative_15m['rsi_14'] = ta.RSI(informative_15m, timeperiod=14) + + # EMAs + informative_15m['ema_12'] = ta.EMA(informative_15m, timeperiod=12) + informative_15m['ema_16'] = ta.EMA(informative_15m, timeperiod=16) + informative_15m['ema_20'] = ta.EMA(informative_15m, timeperiod=20) + informative_15m['ema_26'] = ta.EMA(informative_15m, timeperiod=25) + informative_15m['ema_50'] = ta.EMA(informative_15m, timeperiod=50) + informative_15m['ema_100'] = ta.EMA(informative_15m, timeperiod=100) + informative_15m['ema_200'] = ta.EMA(informative_15m, timeperiod=200) + + # SMA + informative_15m['sma_15'] = ta.SMA(informative_15m, timeperiod=15) + informative_15m['sma_30'] = ta.SMA(informative_15m, timeperiod=30) + informative_15m['sma_200'] = ta.SMA(informative_15m, timeperiod=200) + + informative_15m['sma_200_dec_20'] = informative_15m['sma_200'] < informative_15m['sma_200'].shift(20) + + # BB + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_15m), window=20, stds=2) + informative_15m['bb20_2_low'] = bollinger['lower'] + informative_15m['bb20_2_mid'] = bollinger['mid'] + informative_15m['bb20_2_upp'] = bollinger['upper'] + + # BB 40 - STD2 + bb_40_std2 = qtpylib.bollinger_bands(informative_15m['close'], window=40, stds=2) + informative_15m['bb40_2_low'] = bb_40_std2['lower'] + informative_15m['bb40_2_mid'] = bb_40_std2['mid'] + informative_15m['bb40_2_delta'] = (bb_40_std2['mid'] - informative_15m['bb40_2_low']).abs() + informative_15m['closedelta'] = (informative_15m['close'] - informative_15m['close'].shift()).abs() + informative_15m['tail'] = (informative_15m['close'] - informative_15m['bb40_2_low']).abs() + + # CMF + informative_15m['cmf'] = chaikin_money_flow(informative_15m, 20) + + # CTI + informative_15m['cti'] = pta.cti(informative_15m["close"], length=20) + + # Williams %R + informative_15m['r_14'] = williams_r(informative_15m, period=14) + informative_15m['r_64'] = williams_r(informative_15m, period=64) + informative_15m['r_96'] = williams_r(informative_15m, period=96) + + # EWO + informative_15m['ewo'] = ewo(informative_15m, 50, 200) + + # CCI + informative_15m['cci'] = ta.CCI(informative_15m, source='hlc3', timeperiod=20) + + # CRSI (3, 2, 100) + crsi_closechange = informative_15m['close'] / informative_15m['close'].shift(1) + crsi_updown = np.where(crsi_closechange.gt(1), 1.0, np.where(crsi_closechange.lt(1), -1.0, 0.0)) + informative_15m['crsi'] = (ta.RSI(informative_15m['close'], timeperiod=3) + ta.RSI(crsi_updown, timeperiod=2) + ta.ROC(informative_15m['close'], 100)) / 3 + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.") + + return informative_15m + + def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + + # RSI + dataframe['rsi_4'] = ta.RSI(dataframe, timeperiod=4) + dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14) + dataframe['rsi_84'] = ta.RSI(dataframe, timeperiod=84) + dataframe['rsi_112'] = ta.RSI(dataframe, timeperiod=112) + + # EMAs + dataframe['ema_8'] = ta.EMA(dataframe, timeperiod=8) + dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) + dataframe['ema_13'] = ta.EMA(dataframe, timeperiod=13) + dataframe['ema_16'] = ta.EMA(dataframe, timeperiod=16) + dataframe['ema_20'] = ta.EMA(dataframe, timeperiod=20) + dataframe['ema_25'] = ta.EMA(dataframe, timeperiod=25) + dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26) + dataframe['ema_50'] = ta.EMA(dataframe, timeperiod=50) + dataframe['ema_100'] = ta.EMA(dataframe, timeperiod=100) + dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200) + + dataframe['ema_200_pct_change_144'] = ((dataframe['ema_200'] - dataframe['ema_200'].shift(144)) / dataframe['ema_200'].shift(144)) + dataframe['ema_200_pct_change_288'] = ((dataframe['ema_200'] - dataframe['ema_200'].shift(288)) / dataframe['ema_200'].shift(288)) + + # SMA + dataframe['sma_15'] = ta.SMA(dataframe, timeperiod=15) + dataframe['sma_28'] = ta.SMA(dataframe, timeperiod=28) + dataframe['sma_30'] = ta.SMA(dataframe, timeperiod=30) + dataframe['sma_75'] = ta.SMA(dataframe, timeperiod=75) + dataframe['sma_200'] = ta.SMA(dataframe, timeperiod=200) + + dataframe['sma_200_dec_20'] = dataframe['sma_200'] < dataframe['sma_200'].shift(20) + dataframe['sma_200_dec_24'] = dataframe['sma_200'] < dataframe['sma_200'].shift(24) + + # BB 40 - STD2 + bb_40_std2 = qtpylib.bollinger_bands(dataframe['close'], window=40, stds=2) + dataframe['bb40_2_low'] = bb_40_std2['lower'] + dataframe['bb40_2_mid'] = bb_40_std2['mid'] + dataframe['bb40_2_delta'] = (bb_40_std2['mid'] - dataframe['bb40_2_low']).abs() + dataframe['closedelta'] = (dataframe['close'] - dataframe['close'].shift()).abs() + dataframe['tail'] = (dataframe['close'] - dataframe['bb40_2_low']).abs() + + # BB 20 - STD2 + bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + dataframe['bb20_2_low'] = bb_20_std2['lower'] + dataframe['bb20_2_mid'] = bb_20_std2['mid'] + dataframe['bb20_2_upp'] = bb_20_std2['upper'] + + # BB 20 - STD3 + bb_20_std3 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=3) + dataframe['bb20_3_low'] = bb_20_std3['lower'] + dataframe['bb20_3_mid'] = bb_20_std3['mid'] + dataframe['bb20_3_upp'] = bb_20_std3['upper'] + + dataframe['bb20_width'] = ((dataframe['bb20_2_upp'] - dataframe['bb20_2_low']) / dataframe['bb20_2_mid']) + dataframe['bb20_delta'] = ((dataframe['bb20_2_low'] - dataframe['bb20_3_low']) / dataframe['bb20_2_low']) + + # CMF + dataframe['cmf'] = chaikin_money_flow(dataframe, 20) + + # Williams %R + dataframe['r_14'] = williams_r(dataframe, period=14) + dataframe['r_24'] = williams_r(dataframe, period=24) + dataframe['r_32'] = williams_r(dataframe, period=32) + dataframe['r_64'] = williams_r(dataframe, period=64) + dataframe['r_96'] = williams_r(dataframe, period=96) + dataframe['r_480'] = williams_r(dataframe, period=480) + + # CTI + dataframe['cti'] = pta.cti(dataframe["close"], length=20) + + # CRSI (3, 2, 100) + crsi_closechange = dataframe['close'] / dataframe['close'].shift(1) + crsi_updown = np.where(crsi_closechange.gt(1), 1.0, np.where(crsi_closechange.lt(1), -1.0, 0.0)) + dataframe['crsi'] = (ta.RSI(dataframe['close'], timeperiod=3) + ta.RSI(crsi_updown, timeperiod=2) + ta.ROC(dataframe['close'], 100)) / 3 + + # EMA of VWMA Oscillator + dataframe['ema_vwma_osc_32'] = ema_vwma_osc(dataframe, 32) + dataframe['ema_vwma_osc_64'] = ema_vwma_osc(dataframe, 64) + dataframe['ema_vwma_osc_96'] = ema_vwma_osc(dataframe, 96) + + # EWO + dataframe['ewo'] = ewo(dataframe, 50, 200) + + # CCI + dataframe['cci'] = ta.CCI(dataframe, source='hlc3', timeperiod=20) + dataframe['cci_25'] = ta.CCI(dataframe, source='hlc3', timeperiod=25) + + # MFI + dataframe['mfi'] = ta.MFI(dataframe) + + # RMI + dataframe['rmi_17'] = RMI(dataframe, length=17, mom=4) + + # Stochastic fast + stoch_fast = ta.STOCHF(dataframe, 5, 3, 0, 3, 0) + dataframe['fastd'] = stoch_fast['fastd'] + dataframe['fastk'] = stoch_fast['fastk'] + + # ADX + dataframe['adx'] = ta.ADX(dataframe) + + # STOCHRSI + stoch = ta.STOCHRSI(dataframe, 15, 20, 2, 2) + dataframe['srsi_fk'] = stoch['fastk'] + dataframe['srsi_fd'] = stoch['fastd'] + + # Close delta + dataframe['close_delta'] = (dataframe['close'] - dataframe['close'].shift(1)).abs() + + # T3 Average + dataframe['t3_avg'] = t3_average(dataframe) + + # Heiken Ashi + heikinashi = qtpylib.heikinashi(dataframe) + dataframe['ha_open'] = heikinashi['open'] + dataframe['ha_close'] = heikinashi['close'] + dataframe['ha_high'] = heikinashi['high'] + dataframe['ha_low'] = heikinashi['low'] + + dataframe['ha_closedelta'] = (dataframe['ha_close'] - dataframe['ha_close'].shift()).abs() + dataframe['ha_tail'] = (dataframe['ha_close'] - dataframe['ha_low']).abs() + + # True range + dataframe['trange'] = ta.TRANGE(dataframe) + + # KC + dataframe['range_ma_28'] = ta.SMA(dataframe['trange'], 28) + dataframe['kc_upperband_28_1'] = dataframe['sma_28'] + dataframe['range_ma_28'] + dataframe['kc_lowerband_28_1'] = dataframe['sma_28'] - dataframe['range_ma_28'] + + # Linreg + dataframe['hh_20'] = ta.MAX(dataframe['high'], 20) + dataframe['ll_20'] = ta.MIN(dataframe['low'], 20) + dataframe['avg_hh_ll_20'] = (dataframe['hh_20'] + dataframe['ll_20']) / 2.0 + dataframe['avg_close_20'] = ta.SMA(dataframe['close'], 20) + dataframe['avg_val_20'] = (dataframe['avg_hh_ll_20'] + dataframe['avg_close_20']) / 2.0 + dataframe['linreg_val_20'] = ta.LINEARREG(dataframe['close'] - dataframe['avg_val_20'], 20, 0) + + # MAMA, FAMA, KAMA + dataframe['hl2'] = (dataframe['high'] + dataframe['low']) / 2.0 + dataframe['mama'], dataframe['fama'] = ta.MAMA(dataframe['hl2'], 0.25, 0.025) + dataframe['mama_diff'] = ((dataframe['mama'] - dataframe['fama']) / dataframe['hl2']) + dataframe['kama'] = ta.KAMA(dataframe['close'], 84) + + # Close max + dataframe['close_max_48'] = dataframe['close'].rolling(48).max() + dataframe['close_max_288'] = dataframe['close'].rolling(288).max() + + # VWAP + vwap_low, vwap, vwap_high = vwap_bands(dataframe, 20, 1) + dataframe['vwap_upperband'] = vwap_high + dataframe['vwap_middleband'] = vwap + dataframe['vwap_lowerband'] = vwap_low + dataframe['vwap_width'] = ((dataframe['vwap_upperband'] - dataframe['vwap_lowerband']) / dataframe['vwap_middleband']) * 100 + + # ATR + dataframe['atr'] = ta.ATR(dataframe, timeperiod=14) + + # For sell checks + dataframe['crossed_below_ema_12_26'] = qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26']) + + # Volume + dataframe['vma_10'] = ta.SMA(dataframe['volume'], timeperiod=10) + dataframe['vma_20'] = ta.SMA(dataframe['volume'], timeperiod=20) + dataframe['vol_osc'] = (dataframe['vma_10'] - dataframe['vma_20']) / dataframe['vma_20'] * 100 + dataframe['volume_mean_4'] = dataframe['volume'].rolling(4).mean().shift(1) + dataframe['volume_mean_12'] = dataframe['volume'].rolling(12).mean().shift(1) + dataframe['volume_mean_24'] = dataframe['volume'].rolling(24).mean().shift(1) + + # Dip protection + dataframe['tpct_change_0'] = self.top_percent_change(dataframe,0) + dataframe['tpct_change_2'] = self.top_percent_change(dataframe,2) + dataframe['tpct_change_12'] = self.top_percent_change(dataframe,12) + dataframe['tpct_change_144'] = self.top_percent_change(dataframe,144) + # 3 hours, protect against wicks + dataframe['hl_pct_change_36'] = self.range_percent_change(dataframe, 'HL', 36) + + if not self.config['runmode'].value in ('live', 'dry_run'): + # Backtest age filter + dataframe['bt_agefilter_ok'] = False + dataframe.loc[dataframe.index > (12 * 24 * self.bt_min_age_days),'bt_agefilter_ok'] = True + else: + # Exchange downtime protection + dataframe['live_data_ok'] = (dataframe['volume'].rolling(window=72, min_periods=72).min() > 0) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] normal_tf_indicators took: {tok - tik:0.4f} seconds.") + + return dataframe + + def resampled_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + # Indicators + # ----------------------------------------------------------------------------------------- + dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14) + + return dataframe + + def base_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + # Indicators + # ----------------------------------------------------------------------------------------- + + # Dip protection + dataframe['tpct_change_144'] = self.top_percent_change(dataframe, 144) + + # Close max + dataframe['close_max_24'] = dataframe['close'].rolling(24).max() + dataframe['close_max_72'] = dataframe['close'].rolling(72).max() + + dataframe['pct_close_max_24'] = dataframe['close_max_24'] / dataframe['close'] + dataframe['pct_close_max_72'] = dataframe['close_max_72'] / dataframe['close'] + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] + dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] base_tf_btc_indicators took: {tok - tik:0.4f} seconds.") + + return dataframe + + def info_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + # Indicators + # ----------------------------------------------------------------------------------------- + dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14) + dataframe['not_downtrend'] = ((dataframe['close'] > dataframe['close'].shift(2)) | (dataframe['rsi_14'] > 50)) + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] + dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] info_tf_btc_indicators took: {tok - tik:0.4f} seconds.") + + return dataframe + + def daily_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + # Indicators + # ----------------------------------------------------------------------------------------- + dataframe['pivot'], dataframe['res1'], dataframe['res2'], dataframe['res3'], dataframe['sup1'], dataframe['sup2'], dataframe['sup3'] = pivot_points(dataframe, mode='fibonacci') + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] + dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] daily_tf_btc_indicators took: {tok - tik:0.4f} seconds.") + + return dataframe + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + ''' + --> BTC informative (5m/1h) + ___________________________________________________________________________________________ + ''' + if self.config['stake_currency'] in ['USDT','BUSD','USDC','DAI','TUSD','PAX','USD','EUR','GBP', 'TRY','BRL']: + btc_info_pair = f"BTC/{self.config['stake_currency']}" + else: + btc_info_pair = "BTC/USDT" + + if self.has_BTC_daily_tf: + btc_daily_tf = self.dp.get_pair_dataframe(btc_info_pair, '1d') + btc_daily_tf = self.daily_tf_btc_indicators(btc_daily_tf, metadata) + dataframe = merge_informative_pair(dataframe, btc_daily_tf, self.timeframe, '1d', ffill=True) + drop_columns = [f"{s}_1d" for s in ['date', 'open', 'high', 'low', 'close', 'volume']] + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + if self.has_BTC_info_tf: + btc_info_tf = self.dp.get_pair_dataframe(btc_info_pair, self.info_timeframe_1h) + btc_info_tf = self.info_tf_btc_indicators(btc_info_tf, metadata) + dataframe = merge_informative_pair(dataframe, btc_info_tf, self.timeframe, self.info_timeframe_1h, ffill=True) + drop_columns = [f"{s}_{self.info_timeframe_1h}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']] + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + if self.has_BTC_base_tf: + btc_base_tf = self.dp.get_pair_dataframe(btc_info_pair, self.timeframe) + btc_base_tf = self.base_tf_btc_indicators(btc_base_tf, metadata) + dataframe = merge_informative_pair(dataframe, btc_base_tf, self.timeframe, self.timeframe, ffill=True) + drop_columns = [f"{s}_{self.timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']] + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + ''' + --> Informative timeframe + ___________________________________________________________________________________________ + ''' + if self.info_timeframe_1d != 'none': + informative_1d = self.informative_1d_indicators(dataframe, metadata) + dataframe = merge_informative_pair(dataframe, informative_1d, self.timeframe, self.info_timeframe_1d, ffill=True) + drop_columns = [f"{s}_{self.info_timeframe_1d}" for s in ['date','open', 'high', 'low', 'close', 'volume']] + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + if self.info_timeframe_1h != 'none': + informative_1h = self.informative_1h_indicators(dataframe, metadata) + dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.info_timeframe_1h, ffill=True) + drop_columns = [f"{s}_{self.info_timeframe_1h}" for s in ['date']] + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + if self.info_timeframe_15m != 'none': + informative_15m = self.informative_15m_indicators(dataframe, metadata) + dataframe = merge_informative_pair(dataframe, informative_15m, self.timeframe, self.info_timeframe_15m, ffill=True) + drop_columns = [f"{s}_{self.info_timeframe_15m}" for s in ['date']] + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + ''' + --> Resampled to another timeframe + ___________________________________________________________________________________________ + ''' + if self.res_timeframe != 'none': + resampled = resample_to_interval(dataframe, timeframe_to_minutes(self.res_timeframe)) + resampled = self.resampled_tf_indicators(resampled, metadata) + # Merge resampled info dataframe + dataframe = resampled_merge(dataframe, resampled, fill_na=True) + dataframe.rename(columns=lambda s: f"{s}_{self.res_timeframe}" if "resample_" in s else s, inplace=True) + dataframe.rename(columns=lambda s: s.replace("resample_{}_".format(self.res_timeframe.replace("m","")), ""), inplace=True) + drop_columns = [f"{s}_{self.res_timeframe}" for s in ['date']] + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + ''' + --> The indicators for the normal (5m) timeframe + ___________________________________________________________________________________________ + ''' + dataframe = self.normal_tf_indicators(dataframe, metadata) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] Populate indicators took a total of: {tok - tik:0.4f} seconds.") + + return dataframe + + def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + conditions = [] + dataframe.loc[:, 'enter_tag'] = '' + + # the number of free slots + current_free_slots = self.config["max_open_trades"] - len(LocalTrade.get_trades_proxy(is_open=True)) + + for index in self.buy_protection_params: + item_buy_protection_list = [True] + global_buy_protection_params = self.buy_protection_params[index] + + if self.buy_params[f"buy_condition_{index}_enable"]: + # Standard protections - Common to every condition + # ----------------------------------------------------------------------------------------- + if global_buy_protection_params["ema_fast"]: + item_buy_protection_list.append(dataframe[f"ema_{global_buy_protection_params['ema_fast_len']}"] > dataframe['ema_200']) + if global_buy_protection_params["ema_slow"]: + item_buy_protection_list.append(dataframe[f"ema_{global_buy_protection_params['ema_slow_len']}_1h"] > dataframe['ema_200_1h']) + if global_buy_protection_params["close_above_ema_fast"]: + item_buy_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_fast_len']}"]) + if global_buy_protection_params["close_above_ema_slow"]: + item_buy_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_slow_len']}_1h"]) + if global_buy_protection_params["sma200_rising"]: + item_buy_protection_list.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(global_buy_protection_params['sma200_rising_val']))) + if global_buy_protection_params["sma200_1h_rising"]: + item_buy_protection_list.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(global_buy_protection_params['sma200_1h_rising_val']))) + if global_buy_protection_params["safe_dips_threshold_0"] is not None: + item_buy_protection_list.append(dataframe['tpct_change_0'] < global_buy_protection_params["safe_dips_threshold_0"]) + if global_buy_protection_params["safe_dips_threshold_2"] is not None: + item_buy_protection_list.append(dataframe['tpct_change_2'] < global_buy_protection_params["safe_dips_threshold_2"]) + if global_buy_protection_params["safe_dips_threshold_12"] is not None: + item_buy_protection_list.append(dataframe['tpct_change_12'] < global_buy_protection_params["safe_dips_threshold_12"]) + if global_buy_protection_params["safe_dips_threshold_144"] is not None: + item_buy_protection_list.append(dataframe['tpct_change_144'] < global_buy_protection_params["safe_dips_threshold_144"]) + if global_buy_protection_params["safe_pump_6h_threshold"] is not None: + item_buy_protection_list.append(dataframe['hl_pct_change_6_1h'] < global_buy_protection_params["safe_pump_6h_threshold"]) + if global_buy_protection_params["safe_pump_12h_threshold"] is not None: + item_buy_protection_list.append(dataframe['hl_pct_change_12_1h'] < global_buy_protection_params["safe_pump_12h_threshold"]) + if global_buy_protection_params["safe_pump_24h_threshold"] is not None: + item_buy_protection_list.append(dataframe['hl_pct_change_24_1h'] < global_buy_protection_params["safe_pump_24h_threshold"]) + if global_buy_protection_params["safe_pump_36h_threshold"] is not None: + item_buy_protection_list.append(dataframe['hl_pct_change_36_1h'] < global_buy_protection_params["safe_pump_36h_threshold"]) + if global_buy_protection_params["safe_pump_48h_threshold"] is not None: + item_buy_protection_list.append(dataframe['hl_pct_change_48_1h'] < global_buy_protection_params["safe_pump_48h_threshold"]) + if global_buy_protection_params['btc_1h_not_downtrend']: + item_buy_protection_list.append(dataframe['btc_not_downtrend_1h']) + if global_buy_protection_params['close_over_pivot_type'] != 'none': + item_buy_protection_list.append(dataframe['close'] > dataframe[f"{global_buy_protection_params['close_over_pivot_type']}_1d"] * global_buy_protection_params['close_over_pivot_offset']) + if global_buy_protection_params['close_under_pivot_type'] != 'none': + item_buy_protection_list.append(dataframe['close'] < dataframe[f"{global_buy_protection_params['close_under_pivot_type']}_1d"] * global_buy_protection_params['close_under_pivot_offset']) + if not self.config['runmode'].value in ('live', 'dry_run'): + if self.has_bt_agefilter: + item_buy_protection_list.append(dataframe['bt_agefilter_ok']) + else: + if self.has_downtime_protection: + item_buy_protection_list.append(dataframe['live_data_ok']) + + # Buy conditions + # ----------------------------------------------------------------------------------------- + item_buy_logic = [] + item_buy_logic.append(reduce(lambda x, y: x & y, item_buy_protection_list)) + + # Condition #1 - Semi swing mode. Increase in the last candles & relative local dip. + if index == 1: + # Non-Standard protections + + # Logic + item_buy_logic.append(((dataframe['close'] - dataframe['open'].rolling(12).min()) / + dataframe['open'].rolling(12).min()) > 0.027) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append(dataframe['mfi'] < 36.0) + item_buy_logic.append(dataframe['r_480_1h'] > -99.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 33.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['ewo'] > 1.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ha_close'] > dataframe['ha_open']) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + ) + item_buy_logic.append( + (dataframe['r_32'] < -75.0) + | (dataframe['rsi_14'] < 33.0) + | (dataframe['cti'] < -0.9) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['r_480_1h'] < -30.0) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['rsi_14'] < 24.0) + | (dataframe['r_64'] < -90.0) + | (dataframe['r_96'] < -85.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + ) + item_buy_logic.append( + (dataframe['r_96'] < -85.0) + | (dataframe['ewo'] > 5.0) + | (dataframe['cti_1h'] < 0.25) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ha_close'] > dataframe['ha_open']) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['r_96'] < -85.0) + | (dataframe['ewo'] > 8.0) + | ((dataframe['rsi_14_1h'] < 40.0) & (dataframe['ha_close'] > dataframe['ha_open'])) + | ((dataframe['cti_1h'] < -0.9) & (dataframe['r_480_1h'] < -20.0) & (dataframe['crsi_1h'] > 20.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.92) + ) + item_buy_logic.append( + ((dataframe['btc_not_downtrend_1h'] == True) & (dataframe['cmf'] > 0.2)) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['r_96'] < -95.0) + | (dataframe['ewo'] > 2.0) + | + ( + (dataframe['cti_1h'] < 0.5) + & (dataframe['crsi_1h'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['tpct_change_144'] < 0.16) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.8) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 29.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['crsi_1h'] > 6.0) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] < dataframe['sma_30'] * 0.94) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 33.0) + | (dataframe['r_96'] < -90.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['sma_30'] * 0.93) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 33.0) + | (dataframe['r_96'] < -90.0) + | (dataframe['cti_1h'] < 0.0) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | (dataframe['rsi_14'] < 16.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.9) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.2) + & (dataframe['hl_pct_change_36'] < 0.22) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['hl_pct_change_36'] < 0.25) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['rsi_14'] < 22.0) + | + ( + (dataframe['cti'] < -0.93) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + & (dataframe['hl_pct_change_36'] < 0.24) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['cti_1h'] < -0.5) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + & (dataframe['hl_pct_change_36'] < 0.22) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['tpct_change_144'] < 0.12) + & (dataframe['close_max_48'] > (dataframe['close'] * 1.05)) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + & (dataframe['close_max_48'] > (dataframe['close'] * 1.05)) + & (dataframe['hl_pct_change_36'] < 0.22) + ) + | + ( + (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['close_max_48'] > (dataframe['close'] * 1.05)) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['close_max_48'] > (dataframe['close'] * 1.05)) + & (dataframe['hl_pct_change_36'] < 0.24) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_36'] < 0.25) + & (dataframe['close_max_48'] > (dataframe['close'] * 1.05)) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + & (dataframe['cti_1h'] < 0.85) + & (dataframe['ema_200_pct_change_144'] < 0.2) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.86) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.89) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.988) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.05)) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.92)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.034)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_6_1h'] < 0.3) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['rsi_14_15m'] < 12.0) + & (dataframe['close_max_48'] > (dataframe['close'] * 1.05)) + & (dataframe['hl_pct_change_36'] < 0.24) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['cti_15m'] < -0.95) + ) + + # Condition #2 - Semi swing. Local dip. + elif index == 2: + # Non-Standard protections + + # Logic + item_buy_logic.append(dataframe['rsi_14'] < (dataframe['rsi_14_1h'] - 51.0)) + item_buy_logic.append(dataframe['mfi'] < 46.0) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_14'] < -80.0) + item_buy_logic.append(dataframe['r_480'] > -95.0) + item_buy_logic.append(dataframe['cti_1h'] < 0.88) + item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_12'] * 1.0)) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.25) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.05)) + ) + | + ( + (dataframe['cti_1h'] < 0.78) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.05)) + ) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.938) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['close'] < dataframe['sma_30'] * 0.938) + | (dataframe['rsi_14'] < (dataframe['rsi_14_1h'] - 52.0)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | + ( + (dataframe['rsi_14'] < 15.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['r_480'] > -30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['r_480_1h'] > -20.0) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | + ( + (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.93) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['close_max_48'] >= (dataframe['close'] * 1.06)) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #3 - Semi swing. Local dip. + elif index == 3: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['bb40_2_low'].shift().gt(0)) + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.04)) + item_buy_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.02)) + item_buy_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.4)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['cti_1h'] < 0.9) + item_buy_logic.append(dataframe['r_480_1h'] < -0.0) + item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_4'] * 3.2)) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.1)) + item_buy_logic.append( + (dataframe['crsi'] > 25.0) + | (dataframe['r_480'] > -50.0) + | (dataframe['crsi_1h'] > 18.0) + | (dataframe['r_480_1h'] > -50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.924) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['crsi'] > 25.0) + | (dataframe['rsi_14_1h'] < 15.0) + | (dataframe['crsi_1h'] > 9.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | (dataframe['close'] < dataframe['ema_20'] * 0.916) + | (dataframe['close'] > (dataframe['pivot_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -80.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_0'] < 0.025) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.02) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close'] < dataframe['ema_20'] * 0.934) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 25.0) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['crsi_1h'] > 25.0) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | (dataframe['crsi_1h'] > 50.0) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | (dataframe['close'] < dataframe['ema_20'] * 0.934) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + | (dataframe['close'] > (dataframe['pivot_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['cti_1h'] < -0.8) + | ((dataframe['cti'] < -0.8) & (dataframe['crsi_1h'] > 14.0)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['ema_20'] * 0.938) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.07)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.024)) + | (dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.12)) + ) + item_buy_logic.append( + ((dataframe['btc_not_downtrend_1h'] == True) & (dataframe['crsi_1h'] > 16.0)) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | (dataframe['close'] < dataframe['ema_20'] * 0.946) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.062)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.03)) + | (dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close'] < dataframe['ema_20'] * 0.936) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.08)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['ema_20'] * 0.964) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.06)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.022)) + | (dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.01)) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + (dataframe['cmf'] > 0.0) + & (dataframe['rsi_14'] < 36.0) + ) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 25.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['r_14_1h'] < -95.0) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['rsi_14'] < 36.0) + ) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['rsi_14'] < 36.0) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['rsi_14'] < 36.0) + ) + | + ( + (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + & (dataframe['rsi_14'] < 36.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close_15m'] < (dataframe['bb20_2_low'] * 0.985)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + | + ( + (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['rsi_14'] < 36.0) + ) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 20.0) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + ) + | (dataframe['crsi'] > 25.0) + | (dataframe['cti_1h'] < 0.25) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | (dataframe['close'] < dataframe['ema_20'] * 0.938) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | ((dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.056)) & (dataframe['closedelta'].gt(dataframe['close'] * 0.024))) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.938) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | ((dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.048)) & (dataframe['closedelta'].gt(dataframe['close'] * 0.021))) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['tpct_change_144'] < 0.06) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.16) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] < dataframe['ema_20'] * 0.938) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | ((dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.048)) & (dataframe['closedelta'].gt(dataframe['close'] * 0.021))) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 20.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['crsi_1h'] > 14.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + ) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.94)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | ((dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.048)) & (dataframe['closedelta'].gt(dataframe['close'] * 0.023))) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 20.0) + | (dataframe['crsi'] > 25.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | (dataframe['close'] < dataframe['ema_20'] * 0.926) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.975)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | ((dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.065)) & (dataframe['closedelta'].gt(dataframe['close'] * 0.026)) & (dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.15))) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 8.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | (dataframe['close'] < dataframe['ema_20'] * 0.946) + | + ( + (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + & (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + ) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.074)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.032)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['rsi_14_1h'] < 45.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.06)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.024)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.4)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.066)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.09)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.024)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.2)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | + ( + (dataframe['rsi_14_1h'] < 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['r_14_1h'] < -98.0) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.06)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.91)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 24.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['tpct_change_12'] < 0.1) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 24.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_14'] < -90.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['tpct_change_12'] < 0.06) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_12'] < 0.08) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.94) + & (dataframe['tpct_change_144'] < 0.26) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_14'] < -75.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_12'] < 0.08) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.04)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 36.0) + | (dataframe['cti'] < -0.5) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.05) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.014)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_0'] < 0.024) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_0'] < 0.02) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.2) + & (dataframe['ema_200_pct_change_144'] > -0.1) + ) + | + ( + (dataframe['mfi'] > 36.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | + ( + (dataframe['rsi_14'] < 28.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['ema_200_pct_change_144'] > -0.1) + ) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['ema_200_pct_change_144'] > -0.1) + ) + | + ( + (dataframe['crsi_1h'] > 25.0) + & (dataframe['hl_pct_change_48_1h'] < 0.45) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['btc_pct_close_max_24_5m'] < 1.04) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['tpct_change_144'] < 0.08) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + & (dataframe['rsi_14'] < 36.0) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['btc_pct_close_max_24_5m'] < 1.04) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['hl_pct_change_48_1h'] < 0.45) + & (dataframe['rsi_14'] < 36.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + & (dataframe['crsi_1h'] > 16.0) + & (dataframe['hl_pct_change_48_1h'] < 0.45) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['btc_pct_close_max_24_5m'] < 1.04) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + & (dataframe['hl_pct_change_48_1h'] < 0.45) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['btc_pct_close_max_24_5m'] < 1.04) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.94) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['r_480_1h'] < -12.0) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.978) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['rsi_14_15m'] < 28.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['ema_200_pct_change_144'] > -0.1) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['cti_15m'] < -0.92) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 50.0) + | (dataframe['rsi_14'] < 30.0) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 40.0) + | + ( + (dataframe['tpct_change_0'] < 0.02) + & (dataframe['crsi_1h'] > 10.0) + ) + | + ( + (dataframe['tpct_change_144'] < 0.08) + & (dataframe['crsi_1h'] > 16.0) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['crsi_1h'] > 16.0) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.2) + & (dataframe['crsi_1h'] > 10.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['crsi_1h'] > 10.0) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 16.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.07)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14'] < 12.0) + | (dataframe['cti'] < -0.96) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 10.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.02) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.048)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.06)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.95) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.94) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 16.0) + | (dataframe['cti'] < -0.95) + | (dataframe['crsi'] > 16.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.85) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.06)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.935)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + | (dataframe['cti_15m'] < -0.95) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['ema_200_pct_change_288'] < 0.1) + ) + | (dataframe['rsi_14'] < 12.0) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.02) + & (dataframe['tpct_change_144'] < 0.16) + ) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.0) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['tpct_change_0'] < 0.016) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ema_100'] > (dataframe['ema_200'] * 1.05)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.92) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.05)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.93)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | (dataframe['rsi_14_15m'] < 20.0) + | (dataframe['cti_15m'] < -0.9) + | + ( + (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.05)) + & (dataframe['closedelta'].gt(dataframe['close'] * 0.026)) + & (dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.2)) + ) + | (dataframe['close_delta'] > dataframe['close'] * 32.0 / 1000) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 2.0)) + ) + + # Condition #4 - Semi swing. Local dip. + elif index == 4: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.75)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 1.0) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.995)) + item_buy_logic.append(dataframe['cti_1h'] < 0.82) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 22.0) + | (dataframe['cti'] < -0.95) + | (dataframe['r_14'] < -95.0) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['tpct_change_144'] < 0.3) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | + ( + (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + & (dataframe['tpct_change_144'] < 0.3) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.036)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 40.0) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 30.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 14.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['ewo'] < -10.0) + | (dataframe['mfi'] > 24.0) + | (dataframe['crsi'] > 40.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 25.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.96)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.93)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 5.0) + | (dataframe['ewo'] < -10.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + ) + item_buy_logic.append( + ( + (dataframe['r_480_1h'] < -14.0) + & (dataframe['volume'] < (dataframe['volume_mean_4'] * 5.0)) + ) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 25.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.85) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.94) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.048)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 46.0) + | + ( + (dataframe['rsi_14'] < 12.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['cti'] < -0.95) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['btc_pct_close_max_24_5m'] < 1.04) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['rsi_14_1h'] < 20.0) + | + ( + (dataframe['r_14_1h'] < -97.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['tpct_change_144'] < 0.3) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + & (dataframe['btc_pct_close_max_24_5m'] < 1.04) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.16) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['tpct_change_144'] < 0.25) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + & (dataframe['btc_pct_close_max_24_5m'] < 1.04) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.955) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.05)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.89)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + | + ( + (dataframe['rsi_14_15m'] < 15.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + ) + + # Condition #5 - Semi swing. Local dip. Uptrend. + elif index == 5: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.934) + item_buy_logic.append(dataframe['ewo'] > 2.4) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_14'] < -90.0) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 40.0) + | (dataframe['ewo'] > 5.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.995) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + | (dataframe['rsi_14_15m'] < 30.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_24_1h'] < 0.5) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 36.0) + | + ( + (dataframe['rsi_14'] < 18.0) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + ) + | (dataframe['crsi'] > 20.0) + | + ( + (dataframe['cti_1h'] < 0.8) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + & (dataframe['ema_200_pct_change_144'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['r_14_1h'] < -75.0) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['crsi_1h'] > 40.0) + & (dataframe['ema_200_pct_change_144'] < 0.1) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cti_1h'] < 0.8) + ) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['ema_200_pct_change_144'] < 0.1) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['sma_30'] * 0.89) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.93) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | + ( + (dataframe['rsi_14_15m'] < 30.0) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + ) + ) + + # Condition #6 - Semi swing. Local dip. + elif index == 6: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.8)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 1.0) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_15'] * 0.938) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + item_buy_logic.append(dataframe['r_480_1h'] < -1.0) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 36.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | ((dataframe['btc_pct_close_max_72_5m'] < 1.03) & (dataframe['btc_not_downtrend_1h'] == True)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.89) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 10.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + | (dataframe['rsi_14_15m'] < 20.0) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.08) + ) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['mfi'] > 10.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.036)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.89) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + ) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.3) + & (dataframe['mfi'] > 30.0) + ) + | (dataframe['rsi_14'] < 5.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 6.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.028)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.955) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.05)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < -0.95) + | + ( + (dataframe['rsi_14_1h'] < 25.0) + & (dataframe['crsi_1h'] > 4.0) + ) + | + ( + (dataframe['r_14_1h'] < -98.0) + & (dataframe['crsi_1h'] > 4.0) + ) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.92) + & (dataframe['crsi_1h'] > 5.0) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] < dataframe['ema_20'] * 0.89) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['crsi_1h'] > 25.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.054)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['crsi'] > 10.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.87) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.012)) + | + ( + (dataframe['rsi_14_15m'] < 30.0) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | (dataframe['cti'] < -0.95) + | + ( + (dataframe['crsi'] > 20.0) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | + ( + (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.92) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.14) + ) + | + ( + (dataframe['mfi'] > 25.0) + & (dataframe['hl_pct_change_36'] < 0.14) + ) + | + ( + (dataframe['rsi_14'] < 15.0) + & (dataframe['crsi_1h'] > 2.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['crsi_1h'] > 2.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.14) + ) + | + ( + (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.14) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.88) + & (dataframe['hl_pct_change_36'] < 0.24) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.9) + & (dataframe['hl_pct_change_36'] < 0.24) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + & (dataframe['hl_pct_change_36'] < 0.24) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.93)) + & (dataframe['hl_pct_change_36'] < 0.24) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + & (dataframe['crsi_1h'] > 5.0) + & (dataframe['hl_pct_change_36'] < 0.24) + ) + ) + + # Condition #7 - Semi swing. Local dip. + elif index == 7: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.94) + item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['mfi'] > 46.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cmf_1h'] > 0.1) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.12) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 12.0) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['r_14_1h'] < -95.0) + & (dataframe['tpct_change_144'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['hl_pct_change_36'] < 0.14) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.94)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.048)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['cti_1h'] < -0.0) + ) + | + ( + (dataframe['mfi'] > 25.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['crsi'] > 10.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['cmf_1h'] > 0.2) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['crsi'] > 5.0) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['crsi'] > 5.0) + ) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['cti_1h'] < 0.8) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['crsi'] > 5.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.995) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 36.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 36.0) + | + ( + (dataframe['tpct_change_144'] < 0.14) + & (dataframe['ema_200_pct_change_288'] < 0.1) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #8 - Semi swing. Local deeper dip. Uptrend. + elif index == 8: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.2) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.938) + item_buy_logic.append(dataframe['ewo'] > 2.0) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + ) + | (dataframe['ewo'] > 8.0) + | + ( + (dataframe['cmf'] > -0.1) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.995) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 6.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.986) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.975)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 9.4) + | (dataframe['mfi'] > 30.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 10.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['r_480'] > -25.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.22) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.926) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.22)) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + ) + item_buy_logic.append( + (dataframe['ewo'] > 7.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['ewo'] > 12.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.95) + | + ( + (dataframe['r_480'] > -50.0) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | + ( + (dataframe['r_480_1h'] < -5.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | + ( + (dataframe['r_480_1h'] > -50.0) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.014)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] > 7.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['ewo'] > 3.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 10.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 16.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.07)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 30.0) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['cti_1h'] < 0.88) + ) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.12) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['cti_1h'] < 0.85) + ) + | + ( + (dataframe['mfi'] > 46.0) + & (dataframe['cti_1h'] < 0.85) + ) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['crsi'] > 40.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -90.0) + | + ( + (dataframe['crsi_1h'] > 45.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['tpct_change_144'] < 0.08) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.26) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.92) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.965) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.965)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['r_480_1h'] > -20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_36'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.89) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['ema_200_pct_change_288'] < 0.18) + & (dataframe['hl_pct_change_6_1h'] < 0.25) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['mfi'] > 40.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['hl_pct_change_6_1h'] < 0.25) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['r_480'] > -30.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['ewo'] > 6.0) + & (dataframe['hl_pct_change_6_1h'] < 0.25) + ) + | + ( + (dataframe['cti_1h'] < 0.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['ema_200_pct_change_288'] < 0.2) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['tpct_change_144'] < 0.1) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + & (dataframe['cmf'] > -0.3) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['cti_1h'] < 0.8) + & (dataframe['cmf'] > -0.3) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.88) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + & (dataframe['tpct_change_2'] < 0.06) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['not_downtrend_1h']) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | (dataframe['rsi_14_15m'] < 20.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #9 - Semi swing. Local dip. Downtrend. + elif index == 9: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.97) + item_buy_logic.append(dataframe['ewo'] < -2.0) + item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.995) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.75)) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] < -9.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] < -4.8) + ) + item_buy_logic.append( + (dataframe['ewo'] < -3.8) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.26) + | (dataframe['ewo'] < -3.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 16.0) + | (dataframe['ewo'] < -7.4) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['ewo'] < -13.0) + | (dataframe['cti_1h'] < -0.98) + ) + item_buy_logic.append( + (dataframe['ewo'] < -5.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 10.0) + | (dataframe['ewo'] < -6.0) + | ((dataframe['cti_1h'] < -0.0) & (dataframe['cti_1h'] > -0.9)) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 36.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['ewo'] < -6.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.02) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['ewo'] < -6.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 20.0) + | + ( + (dataframe['cti'] < -0.95) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['crsi'] > 20.0) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['rsi_14'] < 30.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['crsi_1h'] > 25.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + & (dataframe['rsi_14'] < 30.0) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.9) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + | (dataframe['rsi_14_15m'] < 20.0) + | (dataframe['cti_15m'] < -0.95) + ) + + # Condition #10 - Semi swing. Local dip. + elif index == 10: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.8)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.0145)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.994)) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + |(dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 22.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + & (dataframe['tpct_change_144'] < 0.3) + ) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.986)) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['sma_30'] * 0.942) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.016)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['r_480'] > -30.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['cti_1h'] < 0.8) + ) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -96.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_24_1h'] < 0.5) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.975)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['r_480'] > -16.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 18.0) + | (dataframe['tpct_change_144'] < 0.06) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.046)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.955)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.91)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.06)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.9) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_12'] < 0.08) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.05)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 36.0) + | (dataframe['tpct_change_12'] < 0.05) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['cti_1h'] < 0.8) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + & (dataframe['crsi_1h'] > 2.0) + ) + | + ( + (dataframe['mfi'] > 30.0) + & ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.0155)) + ) + | + ( + (dataframe['rsi_14'] < 10.0) + & (dataframe['tpct_change_144'] < 0.22) + ) + | + ( + (dataframe['cti'] < -0.92) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['cmf'] > -0.4) + & (dataframe['tpct_change_144'] < 0.22) + & (dataframe['crsi_1h'] > 2.0) + ) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 30.0) + | + ( + (dataframe['cti_1h'] < -0.5) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['cmf'] > -0.4) + & (dataframe['tpct_change_144'] < 0.22) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['crsi_1h'] > 2.0) + ) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['crsi_1h'] > 2.0) + & (dataframe['crsi'] > 10.0) + & (dataframe['crsi_1h'] > 16.0) + ) + | + ( + (dataframe['r_14_1h'] < -95.0) + & ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.0155)) + & (dataframe['tpct_change_144'] < 0.22) + ) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.1) + ) + | (dataframe['tpct_change_144'] < 0.08) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['cmf'] > -0.4) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + & ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.0155)) + & (dataframe['tpct_change_144'] < 0.22) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['crsi'] > 10.0) + & (dataframe['crsi_1h'] > 16.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + ) + | + ( + (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + & ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.0155)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cti_1h'] < 0.8) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.85) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + & (dataframe['cmf'] > -0.5) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.05)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.91)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #11 - Semi swing. Local dip. + elif index == 11: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.934) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 4.0) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + ) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.78)) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.15)) + ) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.95)) + | (dataframe['mfi'] > 8.0) + | (dataframe['crsi'] > 16.0) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.9)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.94)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.94)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.94)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.032)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['ewo'] > 1.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['ewo'] > 2.0) + | (dataframe['cti_1h'] < 0.0) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] > 3.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + ) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['mfi'] > 20.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['tpct_change_144'] < 0.2) + ) + item_buy_logic.append( + (dataframe['ewo'] > 6.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] > dataframe['ema_200_1h']) + | (dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.0) + | (dataframe['mfi'] > 36.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['mfi'] > 36.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['r_480_1h'] < -16.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.036)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + ) + item_buy_logic.append( + (dataframe['ewo'] > 6.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['tpct_change_12'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['ewo'] > 1.0) + | + ( + (dataframe['cmf'] > -0.1) + & (dataframe['hl_pct_change_48_1h'] < 0.8) + ) + | (dataframe['mfi'] > 46.0) + | (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.92) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] > 2.0) + | (dataframe['cti'] < -0.5) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 20.0) + | (dataframe['ewo'] > 2.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < - 0.5) + | (dataframe['tpct_change_12'] < 0.12) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 10.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['tpct_change_144'] < 0.2) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.965) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['cti_1h'] < 0.85) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | (dataframe['rsi_14'] < 16.0) + | + ( + (dataframe['cti'] < -0.95) + & (dataframe['cti_1h'] < 0.85) + ) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.07)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['ema_200_pct_change_144'] < 0.2) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['cti_1h'] < 0.85) + & (dataframe['ema_200_pct_change_144'] < 0.3) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['rsi_14'] < 15.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['cti_1h'] < -0.9) + | + ( + (dataframe['rsi_14_1h'] < 40.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + (dataframe['crsi_1h'] > 40.0) + & (dataframe['cti_1h'] < 0.85) + & (dataframe['ema_200_pct_change_144'] < 0.3) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + & (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_48_1h'] < 0.8) + & (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + & (dataframe['ema_200_pct_change_144'] < 0.2) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['sma_30'] * 0.88) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + & (dataframe['cti_1h'] < 0.85) + & (dataframe['ema_200_pct_change_144'] < 0.3) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.955)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | + ( + (dataframe['rsi_14_15m'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #12 - Semi swing. Local deeper dip. Uptrend. + elif index == 12: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.8)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.934) + item_buy_logic.append(dataframe['ewo'] > 0.1) + item_buy_logic.append(dataframe['rsi_14'] < 40.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] > 2.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 20.0) + | (dataframe['ewo'] > 6.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.97)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['ewo'] > 6.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['ewo'] > 13.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['ewo'] > 10.0) + | (dataframe['rsi_14'] < 12.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.955) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_12'] < 0.1) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_96'] < -80.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_12'] < 0.12) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.02) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 16.0) + | + ( + (dataframe['cti'] < -0.95) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -94.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.22)) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.07)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 8.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.94)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 8.0) + | (dataframe['cti'] < -0.95) + | (dataframe['crsi'] > 10.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_36'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | ((dataframe['btc_pct_close_max_72_5m'] < 1.01) & (dataframe['btc_not_downtrend_1h'] == True)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.85) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.94)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['rsi_14_1h'] < 80.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + ) + | (dataframe['mfi'] > 40.0) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['crsi'] > 30.0) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['cti_1h'] < 0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cmf'] > -0.4) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + ) + | + ( + (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['cti_1h'] < 0.5) + & (dataframe['tpct_change_144'] < 0.26) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cmf'] > -0.4) + ) + | + ( + (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + & (dataframe['ema_200_pct_change_144'] < 0.2) + & (dataframe['rsi_14_1h'] < 80.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.86) + | (dataframe['close'] < dataframe['ema_20'] * 0.89) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.92)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['rsi_14_15m'] < 20.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #13 - Semi swing. Downtrend. Local dip. + elif index == 13: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.999) + item_buy_logic.append(dataframe['ewo'] < -3.6) + item_buy_logic.append(dataframe['cti'] < -0.97) + item_buy_logic.append(dataframe['crsi_1h'] > 6.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 12.0) + ) + item_buy_logic.append( + (dataframe['ewo'] < -6.2) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['cmf'] > 0.0) + ) + item_buy_logic.append( + (dataframe['ewo'] < -8.2) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.25) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -6.6) + | (dataframe['crsi_1h'] > 8.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['cmf'] > 0.0) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.75)) + | (dataframe['close'] < dataframe['ema_20'] * 0.944) + ) + item_buy_logic.append( + ( + ((dataframe['ewo'] < -7.6) | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0))) + & ((dataframe['ewo'] < -8.0) | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0))) + & ((dataframe['ewo'] < -6.6) | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0))) + & ((dataframe['ewo'] < -9.0) | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) | (dataframe['cmf'] > -0.2)) + ) + | (dataframe['crsi_1h'] > 14.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.85)) + | (dataframe['close'] < dataframe['ema_20'] * 0.954) + ) + item_buy_logic.append( + (dataframe['ewo'] < -6.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.85)) + | (dataframe['close'] < dataframe['ema_20'] * 0.944) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] < -12.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.934) + ) + item_buy_logic.append( + (dataframe['ewo'] < -5.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.944) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + ) + item_buy_logic.append( + (dataframe['ewo'] < -6.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.944) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + ) + item_buy_logic.append( + (dataframe['ewo'] < -12.0) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.928) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.992) + | (dataframe['btc_tpct_change_144_5m'] < 0.02) + ) + item_buy_logic.append( + (dataframe['ewo'] < -12.0) + | + ( + (dataframe['cmf'] > -0.1) + & (dataframe['crsi_1h'] > 8.0) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['crsi_1h'] > 8.0) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | (dataframe['crsi_1h'] > 25.0) + | + ( + (dataframe['tpct_change_144'] < 0.2) + & (dataframe['crsi_1h'] > 8.0) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['crsi_1h'] > 8.0) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + & (dataframe['crsi_1h'] > 8.0) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + & (dataframe['tpct_change_144'] < 0.25) + & (dataframe['crsi_1h'] > 8.0) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | + ( + (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['tpct_change_144'] < 0.25) + & (dataframe['crsi_1h'] > 8.0) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + ) + item_buy_logic.append( + (dataframe['ewo'] < -6.0) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + + # Condition #14 - Semi swing. Strong uptrend. Local dip. + elif index == 14: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + item_buy_logic.append(dataframe['ewo'] > 2.4) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['ewo'] > 4.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['ewo'] > 11.0) + | ((dataframe['cmf'] > -0.1) & (dataframe['mfi'] > 30.0)) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | ((dataframe['tpct_change_144'] < 0.2) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['cti_1h'] < 0.5) + & (dataframe['r_480_1h'] < -20.0) + & (dataframe['rsi_14'] < 30.0)) + | ((dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['rsi_14'] < 30.0) + & (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.8) + & (dataframe['crsi_1h'] > 20.0) + & (dataframe['r_480_1h'] < -20.0) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['hl_pct_change_48_1h'] < 0.3)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.02)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + ) + item_buy_logic.append( + (dataframe['ewo'] > 7.0) + | (dataframe['rsi_14'] < 20.0) + | ((dataframe['cmf'] > -0.2) + & (dataframe['mfi'] > 10.0) + & (dataframe['cti'] < -0.5)) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | ((dataframe['tpct_change_144'] < 0.12) + & (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['cti_1h'] < 0.5)) + | ((dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.5) + & (dataframe['cti'] < -0.5)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.0) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.75) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_480_1h'] < -20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['sma_30'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['ewo'] > 9.0) + | (dataframe['rsi_14'] < 34.0) + | (dataframe['cti'] < -0.5) + | (dataframe['cti_1h'] < 0.75) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['sma_30'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['cti'] < -0.8) + | (dataframe['r_96'] < -70.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['sma_30'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | + ( + (dataframe['cmf'] > 0.0) + & (dataframe['cti_1h'] < 0.75) + ) + | + ( + (dataframe['mfi'] > 40.0) + & (dataframe['cti_1h'] < 0.75) + ) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 36.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cti_1h'] < 0.8) + ) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['cmf'] > -0.3) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['ewo'] > 3.4) + & (dataframe['cti_1h'] < 0.9) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + & (dataframe['btc_pct_close_max_72_5m'] < 1.02) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['cmf'] > -0.3) + & (dataframe['ema_200_pct_change_288'] < 0.1) + ) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | + ( + (dataframe['r_14_1h'] < -75.0) + & (dataframe['cti_1h'] < 0.5) + ) + | (dataframe['tpct_change_144'] < 0.05) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.26) + & (dataframe['ema_200_pct_change_288'] < 0.1) + ) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.5) + & (dataframe['cmf'] > -0.3) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.945) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['r_480_1h'] < -12.0) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.01)) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['r_480_1h'] < -12.0) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | (dataframe['rsi_14_15m'] < 30.0) + | + ( + (dataframe['cti_15m'] < -0.9) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + ) + + # Condition #15 - Semi swing. Uptrend. Local dip. + elif index == 15: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.992)) + item_buy_logic.append(dataframe['ewo'] > 3.0) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append( + (dataframe['ewo'] > 13.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.0) + ) + item_buy_logic.append( + (dataframe['ewo'] > 6.0) + | (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + ) + item_buy_logic.append( + (dataframe['ewo'] > 9.0) + | (dataframe['rsi_14'] < 31.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['r_480_1h'] < -18.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.5)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 5.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.97)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['r_480_1h'] < -18.0) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.97) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.965)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 10.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.94) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['cti_1h'] < 0.96) + ) + | (dataframe['mfi'] > 40.0) + | + ( + (dataframe['rsi_14'] < 25.0) + & (dataframe['cti_1h'] < 0.96) + ) + | (dataframe['cti'] < -0.95) + | + ( + (dataframe['cti_1h'] < 0.8) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.85)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.05) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['cti_1h'] < 0.96) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.85)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.9) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + & (dataframe['cti_1h'] < 0.96) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #16 - Semi swing. Cross above. + elif index == 16: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h']) + item_buy_logic.append(dataframe['cmf_1h'].shift(12) < 0.0) + item_buy_logic.append(dataframe['cmf_1h'] > 0.0) + item_buy_logic.append(dataframe['rsi_14'] < 50.0) + item_buy_logic.append(dataframe['rsi_14_1h'] > 64.0) + item_buy_logic.append(dataframe['cti_1h'] < 0.25) + item_buy_logic.append( + (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.05)) + | (dataframe['cmf'] > 0.1) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['cmf_1h'] > 0.2) + | (dataframe['rsi_14'] < 48.0) + | (dataframe['cti_1h'] < -0.25) + | (dataframe['rsi_14_1h'] > 70.0) + | + ( + (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 40.0) + | (dataframe['cti'] < -0.0) + | (dataframe['cti_1h'] < -0.25) + | + ( + (dataframe['rsi_14_1h'] > 70.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['r_480_1h'] < -2.0) + ) + | + ( + (dataframe['cmf_1h'] > 0.3) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['rsi_14'] < 36.0) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.99) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.01)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + + # Condition #17 - Semi swing. Deep buy. + elif index == 17: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['r_480'] < -90.0) + item_buy_logic.append(dataframe['r_14'] < -99.0) + item_buy_logic.append(dataframe['r_480_1h'] < -93.0) + item_buy_logic.append(dataframe['rsi_14_1h'] + dataframe['rsi_14'] < 33.0) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 5.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 4.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.90)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 5.0) + | (dataframe['crsi_1h'] > 4.0) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.98) + ) + item_buy_logic.append( + (dataframe['crsi'] > 25.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.3) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.99) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['cti'] < -0.95) + | (dataframe['crsi'] > 30.0) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['crsi_1h'] > 8.0) + ) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + ) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + ) + | (dataframe['crsi'] > 40.0) + | + ( + (dataframe['cti_1h'] < -0.95) + & (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + ) + | + ( + (dataframe['rsi_14_1h'] < 8.0) + & (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + ) + | + ( + (dataframe['r_14_1h'] < -97.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + ) + | + ( + (dataframe['crsi_1h'] > 10.0) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.93) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['crsi_1h'] > 4.0) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + & (dataframe['crsi_1h'] > 4.0) + ) + | + ( + (dataframe['cti_15m'] < -0.95) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.998) + ) + ) + + # Condition #18 - Semi swing. Local dip. BTC not negative. + elif index == 18: + # Non-Standard protections (add below) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24)) + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.992)) + item_buy_logic.append(dataframe['crsi_1h'] > 20.0) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | + ( + (dataframe['rsi_14'] < 25.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['crsi_1h'] > 45.0) + & (dataframe['tpct_change_144'] < 0.26) + ) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + | (dataframe['cmf_15m'] > 0.0) + | (dataframe['rsi_14_15m'] < 30.0) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + ) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.92) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.986) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.25)) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #19 - Semi swing. Uptrend. Local dip. BTC not downtrend. + elif index == 19: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.12) + + # Logic + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24)) + item_buy_logic.append(dataframe['bb40_2_low'].shift().gt(0)) + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.046)) + item_buy_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.02)) + item_buy_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.4)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['cti_1h'] < 0.86) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.964)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['r_480_1h'] < -18.0) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['cti_1h'] < 0.7) + ) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + ) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['tpct_change_144'] < 0.1) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + & (dataframe['cti_1h'] < 0.7) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #20 - Semi swing. Uptrend. Local dip. + elif index == 20: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'].shift(1) < (dataframe['sma_15'].shift(1) * 0.958)) + item_buy_logic.append(dataframe['close'] > (dataframe['open'].shift(1))) + item_buy_logic.append(dataframe['ewo'] > 2.8) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_14'].shift(1) < -97.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] > 6.4) + | (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.956) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['cti_1h'] < 0.5) + ) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['r_14'] < -90.0) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['r_96'] < -80.0) + & (dataframe['ema_200_pct_change_144'] < 0.16) + ) + | + ( + (dataframe['ewo'] > 5.8) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + ) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['cti_1h'] < 0.8) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + + # Condition #21 - Semi swing. Deep local dip. Mild uptrend. + elif index == 21: + # Non-Standard protections + item_buy_logic.append(dataframe['close_1h'] < (dataframe['res_level_1d'] * 1.12)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 1.0) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.947) + item_buy_logic.append(dataframe['ewo'] > 1.0) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_14'] < -97.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi'] > 12.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 6.0) + | (dataframe['ewo'] > 3.5) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.924) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + |(dataframe['cti_1h'] < 0.75) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.912) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.4)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 6.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['close'] < dataframe['ema_20'] * 0.936) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.0) + | (dataframe['mfi'] > 6.0) + | (dataframe['ewo'] > 12.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.936) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 7.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 25.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] < dataframe['ema_20'] * 0.934) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['rsi_14'] < 25.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['ewo'] > 8.0) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.994) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #22 - Swing. Uptrend. Bounce from daily support level + elif index == 22: + # Non-Standard protections + item_buy_logic.append(dataframe['close_1h'] > dataframe['sup_level_1d']) + item_buy_logic.append(dataframe['close_1h'] < dataframe['sup_level_1d'] * 1.046) + item_buy_logic.append(dataframe['low_1h'] < dataframe['sup_level_1d'] * 0.982) + item_buy_logic.append(dataframe['close_1h'] < dataframe['res_level_1h']) + item_buy_logic.append(dataframe['res_level_1d'] > dataframe['sup_level_1d']) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append(dataframe['rsi_14_1h'] > 48.0) + # Confirm uptrend - Heikin-Ashi + item_buy_logic.append(dataframe['open_sha_1d'] < dataframe['close_sha_1d']) + item_buy_logic.append(dataframe['open_sha_1d'].shift(288) < dataframe['close_sha_1d'].shift(288)) + item_buy_logic.append(dataframe['pivot_1d'] > dataframe['pivot_1d'].shift(288) * 0.95) + + item_buy_logic.append( + (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.75)) + | (dataframe['crsi'] > 15.0) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['cmf'] > -0.2) + ) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | + ( + (dataframe['crsi_1h'] > 12.0) + & (dataframe['cti_1h'] < 0.8) + ) + | + ( + (dataframe['rsi_14_1h'] > 60.0) + & (dataframe['cti_1h'] < 0.8) + ) + ) + + # Condition #23 - Semi swing. Downtrend. Local dip. + elif index == 23: + # Non-Standard protections (add below) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ewo'].shift(1) < -5.4) + item_buy_logic.append(dataframe['cti'].shift(1).rolling(5).max() < -0.86) + item_buy_logic.append(dataframe['r_14'].shift(1) < -96.5) + item_buy_logic.append(dataframe['close'] > (dataframe['open'].shift(1))) + item_buy_logic.append(dataframe['crsi_1h'] > 14.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'].shift(1) < -6.8) + | (dataframe['cmf'] > 0.0) + | (dataframe['crsi_1h'] > 22.0) + | (dataframe['tpct_change_144'] < 0.22) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < dataframe['sma_30'] * 0.948) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['ewo'].shift(1) < -6.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 22.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.96) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 16.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + ) + | (dataframe['rsi_14'] < 30.0) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + ) + | + ( + (dataframe['ewo'].shift(1) < -6.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | (dataframe['cti_1h'] < -0.95) + | + ( + (dataframe['rsi_14_1h'] < 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | (dataframe['rsi_14_15m'] < 20.0) + | + ( + (dataframe['cti_15m'] < -0.95) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + ) + ) + + # Condition #24 - Semi swing. Uptrend. 1h uptrend. Local dip. + elif index == 24: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_288'] < 0.3) + + # Logic + item_buy_logic.append(dataframe['ewo'] > 3.4) + item_buy_logic.append(dataframe['r_14'] < -97.0) + item_buy_logic.append(dataframe['r_96'] < -80.0) + item_buy_logic.append(dataframe['ewo_1h'] > 2.7) + item_buy_logic.append(dataframe['cti_1h'] < 0.9) + item_buy_logic.append(dataframe['r_480_1h'] < -25.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.2) + | (dataframe['ewo_1h'] > 4.2) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.998)) + | (dataframe['close_1h'] < dataframe['res_level_1h']) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.968) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.2) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.934) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 5.2) + | (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['sma_30'] * 0.934) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['close'] < dataframe['sma_30'] * 0.934) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 5.6) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['sma_30'] * 0.97) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.05) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + ) + item_buy_logic.append( + (dataframe['ewo'] > 4.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + ( + (dataframe['ewo'] > 4.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.3) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.9)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.9)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['ema_200_pct_change_144'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['ema_200_pct_change_144'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['ewo'] > 4.4) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['cti_1h'] < 0.75) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.06) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.012)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.8) + ) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.86)) + + # Condition #25 - Semi swing. CMF 1h cross. + elif index == 25: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h']) + item_buy_logic.append(dataframe['cmf_1h'].shift(12) < 0.0) + item_buy_logic.append(dataframe['cmf_1h'] > 0.0) + item_buy_logic.append(dataframe['rsi_14'] < 34.0) + item_buy_logic.append( + (dataframe['cti'] < -0.5) + | (dataframe['rsi_14'] < 30.0) + | + ( + (dataframe['rsi_14_1h'] < 60.0) + & (dataframe['cti_1h'] < 0.7) + ) + | (dataframe['cti_1h'] < 0.5) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['cti'] < -0.8) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['cmf_1h'] > 0.1) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 50.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 26.0) + | (dataframe['cmf_1h'] > 0.3) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + ) + item_buy_logic.append( + (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 32.0) + | (dataframe['cmf_1h'] > 0.3) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 32.0) + | (dataframe['cmf_1h'] > 0.1) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['btc_pct_close_max_72_5m'] < 1.02) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cmf_1h'] > 0.1) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.5)) + & (dataframe['rsi_14_1h'] < 60.0) + ) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.9) + | + ( + (dataframe['cmf_1h'] > 0.1) + & (dataframe['btc_pct_close_max_24_5m'] < 1.03) + ) + | + ( + (dataframe['cti_1h'] < 0.5) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.5)) + & (dataframe['sma_200_dec_20'] == False) + ) + | (dataframe['rsi_14_1h'] < 50.0) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.5)) + & (dataframe['rsi_14_1h'] < 60.0) + & (dataframe['sma_200_dec_20'] == False) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.01)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + & (dataframe['sma_200_dec_20'] == False) + & (dataframe['btc_pct_close_max_24_5m'] < 1.03) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + + # Condition #26 - Semi swing. Local deep dip. + elif index == 26: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_20_1h'] > dataframe['ema_25_1h']) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.8)) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_15'] * 0.958) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['ha_close'] > dataframe['ha_open']) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 12.0) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.25)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['ema_200_pct_change_288'] < 0.1) + ) + | (dataframe['rsi_14'] < 15.0) + | + ( + (dataframe['cti_1h'] < 0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.25)) + & (dataframe['ema_200_pct_change_144'] < 0.16) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.5) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.06)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.94)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + ) + + # Condition #27 - Semi swing. Local deep. Uptrend. + elif index == 27: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.938) + item_buy_logic.append(dataframe['ewo'] > 2.4) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_14'] < -96.0) + item_buy_logic.append(dataframe['r_480_1h'] < -5.0) + item_buy_logic.append( + (dataframe['ewo'] > 4.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.936) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['ewo'] > 3.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.936) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['ewo'] > 3.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 15.0) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['sma_75'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['mfi'] > 36.0) + | + ( + (dataframe['crsi'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + (dataframe['ewo'] > 3.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['cti_1h'] < 0.5) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['tpct_change_144'] < 0.12) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['cti_1h'] < 0.8) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['sma_30'] * 0.91) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['not_downtrend_1h']) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['rsi_14'] < 16.0) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['crsi'] > 16.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['ewo'] > 4.4) + | + ( + (dataframe['cti_1h'] < 0.75) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | + ( + (dataframe['r_14_1h'] < -75.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['not_downtrend_1h']) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['tpct_change_144'] < 0.12) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['not_downtrend_1h']) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['not_downtrend_1h']) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | + ( + (dataframe['cti_15m'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + ) + + # Condition #28 - Semi swing. Downtrend. Local deep. + elif index == 28: + # Non-Standard protections (add below) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.967) + item_buy_logic.append(dataframe['ewo'] < -5.75) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['ha_close'] > dataframe['ha_open']) + item_buy_logic.append(dataframe['crsi_1h'] > 16.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.92)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.05)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.98)) + | (dataframe['tpct_change_144'] < 0.24) + | (dataframe['crsi_1h'] > 22.0) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.05)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] < -5.9) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['cmf'] > 0.0) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -10.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['hl_pct_change_48_1h'] < 0.8) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + | (dataframe['close'] < dataframe['sma_75'] * 0.922) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.1)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] < -6.6) + | (dataframe['cmf'] > 0.0) + | (dataframe['crsi_1h'] > 22.0) + | (dataframe['tpct_change_144'] < 0.22) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < dataframe['sma_30'] * 0.958) + ) + item_buy_logic.append( + (((dataframe['ewo'] < -7.0) | (dataframe['tpct_change_144'] < 0.25)) + & ((dataframe['ewo'] < -8.0) | (dataframe['cmf'] > -0.2) | (dataframe['tpct_change_144'] < 0.2))) + | (dataframe['mfi'] > 30.0) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['close'] < dataframe['sma_30'] * 0.958) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['r_14'] < -90.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | + ( + (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['ema_200_pct_change_288'] > -0.18) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['rsi_14'] < 36.0) + & (dataframe['ema_200_pct_change_288'] > -0.18) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['ema_200_pct_change_288'] > -0.18) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['ema_200_pct_change_288'] > -0.2) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.95) + & (dataframe['ema_200_pct_change_288'] > -0.18) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + + # Condition #29 - Semi swing. Downtrend. Local deep. + elif index == 29: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.8)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_16'] * 0.982)) + item_buy_logic.append(dataframe['ewo'] < -9.8) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['crsi_1h'] > 6.0) + ) + item_buy_logic.append( + (dataframe['ewo'] < -10.8) + | (dataframe['crsi_1h'] > 15.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 0.9)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.996)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -10.2) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -12.0) + | (dataframe['cmf'] > -0.2) + | ((dataframe['mfi'] > 30.0) & (dataframe['btc_not_downtrend_1h'] == True)) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.75)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.93) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + + # Condition #30 - Semi swing. Local dip. BTC not downtrend. + elif index == 30: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['ema_200_pct_change_144'] < 0.16) + ) + | + ( + (dataframe['mfi'] > 25.0) + & (dataframe['ema_200_pct_change_144'] < 0.16) + ) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 16.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -94.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_36'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.22)) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.5) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.86) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + & (dataframe['ema_200_pct_change_144'] < 0.16) + ) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #31 - Long mode. Local dip. + elif index == 31: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['bb40_2_low'].shift().gt(0)) + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.045)) + item_buy_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.028)) + item_buy_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.25)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['cti'] < -0.25) + item_buy_logic.append(dataframe['crsi_1h'] > 14.0) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | + ( + (dataframe['mfi'] > 36.0) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['rsi_14'] < 25.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['cti'] < -0.95) + | (dataframe['crsi'] > 20.0) + | + ( + (dataframe['cti_1h'] < -0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['r_14_1h'] < -75.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.1) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.1) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.1) + ) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.1) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.92) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.93) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['rsi_14_15m'] < 30.0) + | + ( + (dataframe['cti_15m'] < -0.9) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['not_downtrend_1h']) + ) + ) + + # Condition #32 - Long mode. Local dip. + elif index == 32: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.93)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_480_1h'] < -20.0) + item_buy_logic.append(dataframe['crsi_1h'] > 14.0) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.25) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['hl_pct_change_48_1h'] < 0.7) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.916) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.25) + ) + | (dataframe['mfi'] > 50.0) + | + ( + (dataframe['cti_1h'] < 0.8) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.25) + ) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.25) + ) + | + ( + (dataframe['r_14_1h'] < -75.0) + & (dataframe['ema_200_pct_change_288'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.25) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.25) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_36'] < 0.25) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.25) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + + # Condition #33 - Long mode. Local dip. Uptrend. + elif index == 33: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.4) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_16'] * 0.93)) + item_buy_logic.append(dataframe['ewo'] > 2.5) + item_buy_logic.append(dataframe['rsi_14'] < 46.0) + item_buy_logic.append(dataframe['r_14'] < -97.0) + item_buy_logic.append(dataframe['ewo_1h'] > 0.1) + item_buy_logic.append( + (dataframe['rsi_14'] < 36.0) + | (dataframe['cti'] < 0.0) + | (dataframe['ewo'] > 6.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['ewo_1h'] > 4.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.3) + & (dataframe['ema_200_pct_change_144'] < 0.2) + ) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['ema_200_pct_change_144'] < 0.2) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | (dataframe['rsi_14'] < 30.0) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | + ( + (dataframe['crsi'] > 10.0) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | + ( + (dataframe['cti_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | + ( + (dataframe['r_14_1h'] < -75.0) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.91) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.92) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #34 - Long mode. Local dip. + elif index == 34: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.92)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['ema_50']) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.982)) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['cti_1h'] < 0.9) + item_buy_logic.append(dataframe['crsi_1h'] > 18.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['r_480_1h'] < -30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.975)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.3) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['r_480'] > -30.0) + | (dataframe['crsi'] > 20.0) + | + ( + (dataframe['cti_1h'] < 0.8) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cti_1h'] < 0.8) + ) + | + ( + (dataframe['tpct_change_144'] < 0.2) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_24_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cti_1h'] < 0.8) + ) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['cti_1h'] < 0.8) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.975)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + + # Condition #35 - Long mode. Local deep dip. + elif index == 35: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['ema_25'] * 0.9) + item_buy_logic.append(dataframe['close'] > dataframe['open']) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append(dataframe['mfi'] < 36.0) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 16.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.982) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.07)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.955)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + + # Condition #36 - Long mode. Uptrend. Local dip. + elif index == 36: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_200'] > (dataframe['ema_200'].shift(36) * 1.035)) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.97) + item_buy_logic.append(dataframe['rsi_14'] < 34.0) + item_buy_logic.append(dataframe['r_14'] < -90.0) + item_buy_logic.append(dataframe['r_64'] < -80.0) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_480_1h'] < -30.0) + item_buy_logic.append(dataframe['crsi_1h'] > 16.0) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.9)) + item_buy_logic.append( + (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.946) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['tpct_change_144'] < 0.2) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < -0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_36'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.88) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.89) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #37 - Semi swing. Uptrend. Local dip. + elif index == 37: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + item_buy_logic.append(dataframe['r_14'] < -94.0) + item_buy_logic.append(dataframe['r_64'] < -75.0) + item_buy_logic.append(dataframe['r_480_1h'] < -21.0) + item_buy_logic.append(dataframe['rsi_14_1h'] < 80.0) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.9) + | (dataframe['crsi_1h'] > 14.0) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.948) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.05)) + ) + item_buy_logic.append( + (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.5) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.011)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 10.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.012)) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.94) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['ema_200_pct_change_144'] < 0.2) + ) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['cti_1h'] < 0.85) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['tpct_change_144'] < 0.08) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.85) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + & (dataframe['ema_200_pct_change_144'] < 0.2) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + & (dataframe['ema_200_pct_change_144'] < 0.2) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + + # Condition #38 - Semi swing. Uptrend. Local dip. + elif index == 38: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.0118)) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.0192)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['r_480_1h'] < -1.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.2)) + ) + item_buy_logic.append( + (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['r_14'] < -90.0) + | (dataframe['hl_pct_change_48_1h'] < 0.7) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.05)) + | (dataframe['close'] < dataframe['ema_20'] * 0.958) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.2)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 6.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['close'] < dataframe['ema_20'] * 0.946) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['r_14'] < -90.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | + ( + (dataframe['mfi'] > 36.0) + & (dataframe['ema_200_pct_change_144'] < 0.25) + & (dataframe['cti_1h'] < 0.8) + & (dataframe['hl_pct_change_36'] < 0.24) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.24) + ) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.02) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.24) + & (dataframe['rsi_14_1h'] < 70.0) + & (dataframe['hl_pct_change_12_1h'] < 0.3) + ) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.94) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['rsi_14_1h'] < 70.0) + & (dataframe['hl_pct_change_12_1h'] < 0.3) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + & (dataframe['ema_200_pct_change_144'] < 0.25) + & (dataframe['rsi_14_1h'] < 70.0) + & (dataframe['hl_pct_change_12_1h'] < 0.3) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + & (dataframe['ema_200_pct_change_144'] < 0.25) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #39 - Semi swing. Uptrend. Local dip. + elif index == 39: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.12) + + # Logic + item_buy_logic.append(dataframe['bb40_2_low'].shift().gt(0)) + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.05)) + item_buy_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.01)) + item_buy_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.5)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['r_480_1h'] < -5.0) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.0)) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_1h'] < dataframe['res_level_1h']) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < dataframe['sma_30'] * 0.944) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.016)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.06)) + | (dataframe['closedelta'].gt(dataframe['close'] * 0.02)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['btc_pct_close_max_72_5m'] < 1.02) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['cti_1h'] < 0.85) + ) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close'] < dataframe['sma_30'] * 0.89) + | + ( + (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.015)) + & (dataframe['cti_1h'] < 0.85) + ) + | + ( + (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.2)) + ) + | (dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.12)) + | + ( + (dataframe['closedelta'].gt(dataframe['close'] * 0.02)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.2)) + & (dataframe['cti_1h'] < 0.85) + ) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | (dataframe['cmf'] > 0.1) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.75) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.94) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + + # Condition #40 - Semi swing. Uptrend. Local dip. + elif index == 40: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.1) + + # Logic + item_buy_logic.append(dataframe['rsi_14'] < 32.0) + item_buy_logic.append(dataframe['r_14'] < -90.0) + item_buy_logic.append(dataframe['cmf'] > -0.5) + item_buy_logic.append(dataframe['r_480_1h'] < -15.0) + item_buy_logic.append( + (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.15)) + | (dataframe['crsi'] > 5.0) + ) + item_buy_logic.append( + (dataframe['cti_1h'] < 0.9) + | (dataframe['crsi_1h'] > 15.0) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.2)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.9) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['hl_pct_change_48_1h'] < 0.9) + | (dataframe['close_1h'] < dataframe['res_level_1h']) + | (dataframe['close'] < dataframe['sma_30'] * 0.976) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.9) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] > dataframe['ema_26']) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < dataframe['sma_30'] * 0.944) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.016)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < dataframe['sma_30'] * 0.91) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.016)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.0) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['close'] < dataframe['sma_30'] * 0.944) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.012)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.95)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.012)) + | (dataframe['close'] < dataframe['sma_30'] * 0.94) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 10.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.015)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cmf_1h'] > 0.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 24.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.8) + | (dataframe['crsi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.06) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.95) + | (dataframe['crsi'] > 16.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 36.0) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['cti_1h'] < 0.75) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['hl_pct_change_24_1h'] < 0.5) + ) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['hl_pct_change_24_1h'] < 0.5) + ) + | (dataframe['tpct_change_144'] < 0.06) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['hl_pct_change_24_1h'] < 0.5) + ) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.95) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #41 - 15m. Semi swing. Local dip. BTC not downtrend. + elif index == 41: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_12_15m'] > dataframe['ema_200_1h']) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_26_15m'] > dataframe['ema_12_15m']) + item_buy_logic.append((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.025)) + item_buy_logic.append((dataframe['ema_26_15m'].shift(3) - dataframe['ema_12_15m'].shift(3)) > (dataframe['open_15m'] / 100)) + item_buy_logic.append(dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 1.0)) + item_buy_logic.append(dataframe['r_14'] < -75.0) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['close'] > (dataframe['sma_200'] * 0.88)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.95)) + | (dataframe['mfi'] > 12.0) + | (dataframe['crsi_1h'] > 2.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.029)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | + ( + (dataframe['rsi_14'] < 25.0) + & (dataframe['ema_200_pct_change_288'] > -0.1) + ) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['ema_200_pct_change_288'] > -0.1) + ) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 10.0) + | (dataframe['cmf_1h'] > 0.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + & (dataframe['cmf'] > -0.5) + ) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['cmf'] > -0.5) + ) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + & (dataframe['cmf'] > -0.5) + ) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['tpct_change_144'] < 0.16) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['cmf'] > -0.5) + ) + | + ( + (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['cmf'] > -0.5) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | + ( + (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + & (dataframe['cmf'] > -0.5) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.93) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + & (dataframe['cmf'] > -0.5) + ) + ) + + # Condition #42 - 15m. Semi swing. Local dip. 15m uptrend. + elif index == 42: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.92)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ewo_15m'] > 5.4) + item_buy_logic.append(dataframe['rsi_14_15m'] < 33.6) + item_buy_logic.append(dataframe['cti_15m'] < -0.9) + item_buy_logic.append(dataframe['r_14_15m'] < -90.0) + item_buy_logic.append(dataframe['r_14'] < -94.0) + item_buy_logic.append(dataframe['crsi_1h'] > 20.0) + item_buy_logic.append( + (dataframe['ewo_15m'] > 5.6) + | (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.25) + | (dataframe['r_480_1h'] < -25.0) + | (dataframe['tpct_change_12'] < 0.02) + | (dataframe['tpct_change_144'] < 0.036) + | (dataframe['close'] < dataframe['ema_20'] * 0.98) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['ewo_15m'] > 5.6) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.98) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] < dataframe['ema_20'] * 0.97) + | (dataframe['close'] < dataframe['sma_30'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | (dataframe['rsi_14_15m'] < 30.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 15.0) + | + ( + (dataframe['cti_1h'] < 0.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.995) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['ema_200_pct_change_288'] < 0.1) + ) + | + ( + (dataframe['mfi'] > 40.0) + & (dataframe['ema_200_pct_change_288'] < 0.1) + ) + | + ( + (dataframe['rsi_14'] < 25.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['tpct_change_144'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['crsi'] > 20.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['cmf'] > -0.4) + ) + | + ( + (dataframe['cti_1h'] < 0.5) + & (dataframe['ema_200_pct_change_288'] < 0.1) + & (dataframe['cmf'] > -0.4) + ) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['ema_200_pct_change_288'] < 0.1) + & (dataframe['cmf'] > -0.4) + ) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['ema_200_pct_change_288'] < 0.1) + & (dataframe['cmf'] > -0.4) + ) + | (dataframe['tpct_change_144'] < 0.06) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.04)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.97) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['rsi_14_15m'] < 30.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['cmf'] > -0.4) + ) + | + ( + (dataframe['ewo_15m'] > 7.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + ) + + # Condition #43 - 15m. Semi swing. Local dip. 1h uptrend. + elif index == 43: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.84)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['bb40_2_low_15m'].shift().gt(0)) + item_buy_logic.append(dataframe['bb40_2_delta_15m'].gt(dataframe['close_15m'] * 0.045)) + item_buy_logic.append(dataframe['closedelta_15m'].gt(dataframe['close_15m'] * 0.034)) + item_buy_logic.append(dataframe['tail_15m'].lt(dataframe['bb40_2_delta_15m'] * 0.18)) + item_buy_logic.append(dataframe['close_15m'].lt(dataframe['bb40_2_low_15m'].shift())) + item_buy_logic.append(dataframe['close_15m'].le(dataframe['close_15m'].shift())) + item_buy_logic.append(dataframe['rsi_14_15m'] < 31.0) + item_buy_logic.append(dataframe['cti_15m'] < -0.85) + item_buy_logic.append(dataframe['rsi_14'] < 44.0) + item_buy_logic.append( + (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.2) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.9)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['cti'] < -0.9) + | + ( + (dataframe['cti_1h'] < -0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] < dataframe['ema_20'] * 0.90) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.955)) + | + ( + (dataframe['rsi_14_15m'] < 25.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.8)) + ) + | (dataframe['rsi_14'] < 15.0) + | + ( + (dataframe['cti_1h'] < -0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.8)) + ) + | + ( + (dataframe['rsi_14_1h'] < 40.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.8)) + ) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | + ( + (dataframe['tpct_change_144'] < 0.12) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.8)) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['tpct_change_144'] < 0.18) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.8)) + ) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['crsi_1h'] > 12.0) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['crsi_1h'] > 2.0) + ) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['crsi_1h'] > 2.0) + ) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['crsi_1h'] > 2.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['not_downtrend_1h']) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['tpct_change_144'] < 0.2) + & (dataframe['crsi_1h'] > 4.0) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + & (dataframe['not_downtrend_1h']) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['crsi_1h'] > 4.0) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | + ( + (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.95) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['crsi_1h'] > 4.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['not_downtrend_1h']) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + | + ( + (dataframe['rsi_14_15m'] < 30.0) + & (dataframe['crsi_1h'] > 4.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['btc_pct_close_max_24_5m'] < 1.05) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['not_downtrend_1h']) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['cti_15m'] < -0.9) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['not_downtrend_1h']) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + ) + + # Condition #44 - 15m. Semi swing. Local deeper dip. 15m uptrend. + elif index == 44: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_200_15m'] > (dataframe['ema_200_15m'].shift(36) * 1.01)) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.952)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close_15m'] < dataframe['ema_26_15m'] * 0.99) + item_buy_logic.append(dataframe['rsi_14_15m'] < 28.2) + item_buy_logic.append(dataframe['r_14_15m'] < -70.0) + item_buy_logic.append(dataframe['crsi_1h'] > 18.0) + item_buy_logic.append( + (dataframe['close'] < (dataframe['res3_1d'] * 1.05)) + | (dataframe['cti_1h'] < 0.5) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.2)) + | (dataframe['tpct_change_144'] < 0.18) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['cti_1h'] < 0.9) + ) + | + ( + (dataframe['cmf'] > 0.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['cti_1h'] < 0.8) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['r_480_1h'] < -30.0) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['cti_1h'] < 0.9) + ) + | + ( + (dataframe['tpct_change_144'] < 0.08) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.25) + & (dataframe['cti_1h'] < 0.9) + ) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.25) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['hl_pct_change_48_1h'] < 0.7) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.916) + ) + item_buy_logic.append( + (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.956) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['rsi_14_15m'] < 25.0) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['sma_30'] * 0.956) + | (dataframe['rsi_14_15m'] < 25.0) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 10.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['sma_30'] * 0.92) + | (dataframe['rsi_14_15m'] < 25.0) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + | (dataframe['rsi_14_15m'] < 25.0) + ) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.95)) + + # Condition #45 - 15m. Semi swing. Local deeper dip. 15m uptrend. + elif index == 45: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_50_15m'] > dataframe['ema_200_1h']) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.94)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ewo_15m'] > 3.5) + item_buy_logic.append(dataframe['cci_15m'] < -190.0) + item_buy_logic.append(dataframe['r_14_15m'] < -96.0) + item_buy_logic.append((dataframe['rsi_14_1h'] + dataframe['rsi_14_15m']) < 69.5) + item_buy_logic.append(dataframe['crsi_1h'] > 18.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['ewo_15m'] > 4.0) + | (dataframe['cci_15m'] < -220.0) + | ((dataframe['rsi_14_1h'] + dataframe['rsi_14_15m']) < 60.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.97) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['ewo_15m'] > 4.0) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['crsi'] > 25.0) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.94) + & (dataframe['cmf'] > -0.4) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['not_downtrend_1h']) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['cmf'] > -0.4) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + & (dataframe['cmf'] > -0.4) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | + ( + (dataframe['rsi_14_15m'] < 20.0) + & (dataframe['cmf'] > -0.4) + ) + | (dataframe['cti_15m'] < -0.9) + | + ( + (dataframe['ewo_15m'] > 5.0) + & (dataframe['cmf'] > -0.4) + ) + ) + + # Condition #46 - 15m. Semi swing. 1h uptrend. + elif index == 46: + # Non-Standard protections (add below) + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24)) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.94)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_26_15m'] > dataframe['ema_12_15m']) + item_buy_logic.append((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + item_buy_logic.append((dataframe['ema_26_15m'].shift(3) - dataframe['ema_12_15m'].shift(3)) > (dataframe['open_15m'] / 100)) + item_buy_logic.append(dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + item_buy_logic.append(dataframe['r_14'] < -72.0) + item_buy_logic.append(dataframe['crsi_1h'] > 22.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.2)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['r_480_1h'] < -5.0) + | (dataframe['tpct_change_144'] < 0.26) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.26) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['cmf_1h'] > -0.1) + ) + |(dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.22) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['ema_200_pct_change_288'] < 0.3) + ) + | (dataframe['rsi_14'] < 8.0) + | + ( + (dataframe['cti_1h'] < 0.5) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.92)) + ) + + # Condition #47 - 15m. Semi swing. Local dip. 1h minor dip. + elif index == 47: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['rsi_14_15m'] < dataframe['rsi_14_15m'].shift(3)) + item_buy_logic.append(dataframe['ema_20_1h'] > dataframe['ema_25_1h']) + item_buy_logic.append(dataframe['close_15m'] < (dataframe['sma_15_15m'] * 0.95)) + item_buy_logic.append( + ((dataframe['open_15m'] < dataframe['ema_20_1h']) & (dataframe['low_15m'] < dataframe['ema_20_1h'])) | + ((dataframe['open_15m'] > dataframe['ema_20_1h']) & (dataframe['low_15m'] > dataframe['ema_20_1h']))) + item_buy_logic.append(dataframe['cti_15m'] < -0.9) + item_buy_logic.append(dataframe['r_14_15m'] < -90.0) + item_buy_logic.append(dataframe['r_14'] < -97.0) + item_buy_logic.append(dataframe['cti_1h'] < 0.1) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 15.0) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 25.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close_15m'] < (dataframe['sma_15_15m'] * 0.94)) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['cti_1h'] < 0.0) + & (dataframe['hl_pct_change_36'] < 0.1) + ) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] < dataframe['ema_13'] * 0.96) + | (dataframe['close_15m'] < (dataframe['sma_15_15m'] * 0.93)) + ) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.95)) + + # Condition #48 - 15m. Semi swing. Local deep. 15m uptrend. + elif index == 48: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.85)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close_15m'].shift(3) < (dataframe['sma_15_15m'].shift(3) * 0.95)) + item_buy_logic.append(dataframe['close_15m'] > (dataframe['open_15m'].shift(3))) + item_buy_logic.append(dataframe['ewo_15m'] > 2.8) + item_buy_logic.append(dataframe['cti_15m'] < -0.75) + item_buy_logic.append(dataframe['r_14_15m'].shift(3) < -94.0) + item_buy_logic.append(dataframe['cti'] < -0.5) + item_buy_logic.append(dataframe['cti_1h'] < 0.1) + item_buy_logic.append(dataframe['crsi_1h'] > 18.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < 0.0) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo_15m'] > 3.2) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < -0.75) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | + ( + (dataframe['ewo_15m'] > 4.4) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | + ( + (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.968) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 30.0) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + ) + | (dataframe['cti_1h'] < -0.5) + | + ( + (dataframe['r_480_1h'] < -30.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['tpct_change_144'] < 0.16) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.968) + | (dataframe['ewo_15m'] > 8.0) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['mfi'] > 36.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['ema_200_pct_change_288'] < 0.18) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + & (dataframe['rsi_14'] < 40.0) + ) + | (dataframe['rsi_14'] < 20.0) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['r_14_1h'] < -99.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['ema_200_pct_change_288'] < 0.18) + ) + | + ( + (dataframe['crsi_1h'] > 30.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['rsi_14'] < 40.0) + ) + | (dataframe['tpct_change_144'] < 0.08) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.36) + & (dataframe['rsi_14'] < 40.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.95) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + | + ( + (dataframe['rsi_14_15m'] < 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + ) + ) + + # Condition #49 - 15m. Semi swing. Local deeper dip. + elif index == 49: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.89)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_288'] < 0.4) + + # Logic + item_buy_logic.append(dataframe['ema_26_15m'] > dataframe['ema_12_15m']) + item_buy_logic.append((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.025)) + item_buy_logic.append((dataframe['ema_26_15m'].shift(3) - dataframe['ema_12_15m'].shift(3)) > (dataframe['open_15m'] / 100)) + item_buy_logic.append(dataframe['close_15m'] < dataframe['ema_20_15m'] * 0.93) + item_buy_logic.append(dataframe['rsi_14_15m'] < 28.0) + item_buy_logic.append(dataframe['crsi_15m'] > 18.0) + item_buy_logic.append( + (dataframe['rsi_14'] < 15.0) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['rsi_14_1h'] < 20.0) + | + ( + (dataframe['crsi_1h'] > 16.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.08) + ) + | (dataframe['tpct_change_144'] < 0.12) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.08) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['crsi_1h'] > 12.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + | (dataframe['rsi_14_15m'] < 15.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.28) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.032)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_13'] * 0.96) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.042)) + | (dataframe['close_15m'] < dataframe['ema_20_15m'] * 0.92) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.038)) + ) + item_buy_logic.append( + (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_36'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | ((dataframe['btc_pct_close_max_72_5m'] < 1.01) & (dataframe['btc_not_downtrend_1h'] == True)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['sma_30'] * 0.86) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + ) + + # Condition #50 - 15m. Semi swing. Deep local dip. Mild 15m uptrend. + elif index == 50: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.12) + + # Logic + item_buy_logic.append(dataframe['close_15m'] < dataframe['ema_20_15m'] * 0.948) + item_buy_logic.append(dataframe['ewo_15m'] > 1.8) + item_buy_logic.append(dataframe['cti_15m'] < -0.9) + item_buy_logic.append(dataframe['r_14_15m'] < -97.0) + item_buy_logic.append(dataframe['r_96_15m'] < -75.0) + item_buy_logic.append(dataframe['rsi_14'] < 31.4) + item_buy_logic.append(dataframe['crsi'] > 13.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['ewo_15m'] > 2.4) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.968) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['ewo_15m'] > 9.5) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.968) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['ewo_15m'] > 4.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] < dataframe['ema_20'] * 0.968) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['ewo_15m'] > 4.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] < dataframe['ema_20'] * 0.968) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 36.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['tpct_change_144'] < 0.2) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + & (dataframe['tpct_change_144'] < 0.2) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.95) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.985) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | (dataframe['rsi_14_15m'] < 10.0) + ) + + # Condition #51 - 15m. Semi swing. Downtrend. Dip. + elif index == 51: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 1.0) + + # Logic + item_buy_logic.append(dataframe['close_15m'] < (dataframe['ema_16_15m'] * 0.944)) + item_buy_logic.append(dataframe['ewo_15m'] < -1.0) + item_buy_logic.append(dataframe['rsi_14_15m'] > 29.0) + item_buy_logic.append(dataframe['cti_15m'] < -0.8) + item_buy_logic.append(dataframe['r_14_15m'] < -94.0) + item_buy_logic.append(dataframe['rsi_14'] > 30.0) + item_buy_logic.append( + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['tpct_change_144'] < 0.08) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['cmf'] > -0.4) + & (dataframe['ema_200_pct_change_144'] > -0.1) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['sma_30'] * 0.94) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + & (dataframe['cmf'] > -0.4) + & (dataframe['ema_200_pct_change_144'] > -0.1) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + & (dataframe['ema_200_pct_change_144'] > -0.1) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 0.99)) + ) + item_buy_logic.append( + ((dataframe['cmf'] > -0.0) & (dataframe['hl_pct_change_36_1h'] < 0.25)) + | (dataframe['crsi_1h'] > 18.0) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.97)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cti_1h'] < -0.5) + | (dataframe['hl_pct_change_36_1h'] < 0.3) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + + # Condition #52 - 15m Semi swing. Local dip. BTC not downtrend. + elif index == 52: + # Non-Standard protections (add below) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.89)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.12) + + # Logic + item_buy_logic.append(dataframe['ema_26_15m'] > dataframe['ema_12_15m']) + item_buy_logic.append((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.023)) + item_buy_logic.append((dataframe['ema_26_15m'].shift(3) - dataframe['ema_12_15m'].shift(3)) > (dataframe['open_15m'] / 100)) + item_buy_logic.append(dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.998)) + item_buy_logic.append(dataframe['crsi_1h'] > 15.0) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['ema_200_1h'] * 0.6)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['tpct_change_144'] < 0.3) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.944) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.2)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.75) + | (dataframe['tpct_change_144'] < 0.28) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.26) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.975)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['r_14'] < -80.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.024)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.042)) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.12) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.026)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.032)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['tpct_change_12'] < 0.1) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_12'] < 0.06) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 16.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 20.0) + | + ( + (dataframe['crsi_1h'] > 40.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['tpct_change_144'] < 0.1) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.16) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['tpct_change_144'] < 0.26) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.9) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.96)) + & (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + | (dataframe['rsi_14_15m'] < 20.0) + ) + + # Condition #53 - 15m. Semi swing. BTC not negative. Local dip. + elif index == 53: + # Non-Standard protections (add below) + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12)) + item_buy_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24)) + item_buy_logic.append(dataframe['ema_200_1h'].shift(24) > dataframe['ema_200_1h'].shift(36)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_26_15m'] > dataframe['ema_12_15m']) + item_buy_logic.append((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + item_buy_logic.append((dataframe['ema_26_15m'].shift(3) - dataframe['ema_12_15m'].shift(3)) > (dataframe['open_15m'] / 100)) + item_buy_logic.append(dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + item_buy_logic.append(dataframe['r_14'] < -75.0) + item_buy_logic.append( + (dataframe['crsi_1h'] > 16.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['ema_50'] > dataframe['ema_200']) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.95)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.1)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.022)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.985)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.022)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.022)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['cti_1h'] < -0.85) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.038)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['cti'] < -0.95) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['crsi_1h'] > 20.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.94) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + & (dataframe['tpct_change_144'] < 0.16) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.97)) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['tpct_change_144'] < 0.16) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + | + ( + (dataframe['rsi_14_15m'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #54 - 15m Semi swing. Uptrend. Local dip. + elif index == 54: + # Non-Standard protections + item_buy_logic.append(dataframe['ema_12_15m'] > dataframe['ema_200_15m']) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ewo_15m'] > 5.4) + item_buy_logic.append(dataframe['r_14_15m'] < -96.0) + item_buy_logic.append(dataframe['r_96_15m'] < -94.0) + item_buy_logic.append(dataframe['r_14'] < -96.0) + item_buy_logic.append(dataframe['r_480_1h'] < -16.0) + item_buy_logic.append( + (dataframe['rsi_14'] < 12.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['tpct_change_144'] < 0.12) + & (dataframe['cmf_1h'] > -0.25) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + & (dataframe['cmf_1h'] > -0.25) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['cmf_1h'] > -0.25) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['ewo_15m'] > 6.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['ewo_15m'] > 7.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.9)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_144'] < 0.24) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ewo_15m'] > 8.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_12'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.75) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -98.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.024)) + ) + + # Condition #55 - 15m. Semi swing. Uptrend. Local dip. + elif index == 55: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ewo_15m'] > 5.9) + item_buy_logic.append(dataframe['close_15m'] > (dataframe['close_15m'].shift(3))) + item_buy_logic.append(dataframe['close_15m'].shift(3) < (dataframe['bb20_2_low_15m'].shift(3) * 0.992)) + item_buy_logic.append(dataframe['r_14_15m'].shift(3) < -95.0) + item_buy_logic.append(dataframe['r_96_15m'].shift(3) < -86.0) + item_buy_logic.append(dataframe['close'] < dataframe['open']) + item_buy_logic.append(dataframe['r_480_1h'] < -16.0) + item_buy_logic.append( + (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(36)) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.999)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['rsi_14'] < 40.0) + ) + | + ( + (dataframe['mfi'] > 36.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['rsi_14'] < 22.0) + | (dataframe['cti_1h'] < -0.5) + | + ( + (dataframe['rsi_14_1h'] < 40.0) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['crsi_1h'] > 25.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['rsi_14'] < 30.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.94) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['rsi_14_15m'] < 20.0) + ) + + # Condition #56 - 15m. Semi swing. Downtrend. Local dip. + elif index == 56: + # Non-Standard protections (add below) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.84)) + + # Logic + item_buy_logic.append(dataframe['ewo_15m'].shift(3) < -14.8) + item_buy_logic.append(dataframe['cti_15m'].shift(3).rolling(15).max() < -0.9) + item_buy_logic.append(dataframe['r_14_15m'].shift(3) < -90.0) + item_buy_logic.append(dataframe['r_14'] < -65.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 0.0) + ) + item_buy_logic.append( + (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['r_480_1h'] > -95.0) + | (dataframe['crsi_1h'] > 20.0) + ) + + # Condition #57 - 15m. Semi swing. Strong uptrend. Local dip. BTC not downtrend. + elif index == 57: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.92)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ewo_15m'].shift(3) > 5.0) + item_buy_logic.append(dataframe['close_15m'].shift(3) < (dataframe['sma_30_15m'].shift(3) * 0.988)) + item_buy_logic.append(dataframe['close_15m'].shift(3) < (dataframe['bb20_2_low_15m'].shift(3) * 0.996)) + item_buy_logic.append(dataframe['rsi_14_15m'].shift(3) < 31.2) + item_buy_logic.append(dataframe['r_14_15m'].shift(3) < -94.0) + item_buy_logic.append(dataframe['r_96_15m'].shift(3) < -80.0) + item_buy_logic.append(dataframe['close'] < dataframe['open']) + item_buy_logic.append(dataframe['r_480_1h'] < -24.0) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -95.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cti_1h'] < -0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.948) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] < (dataframe['res2_1d'] * 1.0)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.948) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['ewo_15m'].shift(3) > 8.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close_15m'].shift(3) < (dataframe['bb20_2_low_15m'].shift(3) * 0.98)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + ) + | (dataframe['mfi'] > 50.0) + | + ( + (dataframe['rsi_14'] < 30.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['cti'] < -0.8) + & (dataframe['ema_200_pct_change_144'] < 0.05) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['cti_1h'] < -0.5) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['rsi_14'] < 36.0) + ) + | + ( + (dataframe['tpct_change_144'] < 0.12) + & (dataframe['rsi_14'] < 36.0) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + & (dataframe['ema_200_pct_change_144'] < 0.05) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.36) + & (dataframe['rsi_14'] < 36.0) + ) + | + ( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + & (dataframe['ema_200_pct_change_144'] < 0.05) + & (dataframe['rsi_14'] < 36.0) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.99)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.04)) + | (dataframe['rsi_14_15m'] < 20.0) + | + ( + (dataframe['cti_15m'] < -0.9) + & (dataframe['ema_200_pct_change_144'] < 0.05) + ) + ) + + # Condition #58 - Semi swing. Local dip. + elif index == 58: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.88)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['rmi_17'] < 49.0) + item_buy_logic.append(dataframe['cci_25'] < -116.0) + item_buy_logic.append(dataframe['srsi_fk'] < 32.0) + item_buy_logic.append(dataframe['bb20_delta'] > 0.026) + item_buy_logic.append(dataframe['bb20_width'] > 0.095) + item_buy_logic.append(dataframe['close_delta'] > dataframe['close'] * 12.0 / 1000.0 ) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_3_low'] * 0.999)) + item_buy_logic.append( + (dataframe['cti_1h'] < 0.88) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.1)) + ) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.3)) + ) + item_buy_logic.append( + (dataframe['tpct_change_12'] < 0.1) + | (dataframe['rsi_14'] > 18.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 22.0) + | (dataframe['cti'] < -0.9) + | (dataframe['crsi'] > 16.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_36'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | + ( + (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.2)) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.2)) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.89) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.95) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.965)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #59 - Semi swing. Local dip. + elif index == 59: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.89)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ema_100'] < (dataframe['ema_200'] * 1.054)) + item_buy_logic.append(dataframe['bb20_width'] > 0.3) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_mid'] * 1.014)) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.0)) + item_buy_logic.append(dataframe['cti'] < -0.115) + item_buy_logic.append(dataframe['r_14'] < -45.0) + item_buy_logic.append(dataframe['crsi_1h'] > 10.0) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.7) + | (dataframe['ema_20'] > dataframe['ema_50']) + | (dataframe['close'] > dataframe['ema_26']) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + ) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_14'] < -95.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | + ( + (dataframe['cti_1h'] < -0.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['rsi_14_1h'] < 20.0) + | + ( + (dataframe['tpct_change_144'] < 0.2) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['hl_pct_change_36'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | ((dataframe['btc_pct_close_max_72_5m'] < 1.01) & (dataframe['btc_not_downtrend_1h'] == True)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.86) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.94)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + ) + + # Condition #60 - Semi swing. Local dip. + elif index == 60: + # Non-Standard protections + item_buy_logic.append(dataframe['roc_9_1h'] < 86.0) + item_buy_logic.append(dataframe['bb20_width_1h'] < 0.954) + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.85)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['rsi_4'] < 44.0) + item_buy_logic.append(dataframe['close'] < dataframe['ema_8'] * 0.948) + item_buy_logic.append(dataframe['ewo'] > -5.0) + item_buy_logic.append(dataframe['close'] < dataframe['ema_16'] * 0.988) + item_buy_logic.append(dataframe['rsi_14'] < 24.0) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['ema_200_1h'] * 0.82)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.96)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['rsi_14'] < 12.0) + | (dataframe['cti'] < -0.9) + | + ( + (dataframe['cti_1h'] < -0.8) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['cmf'] > -0.5) + & (dataframe['crsi_1h'] > 4.0) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.91) + & (dataframe['cmf'] > -0.5) + & (dataframe['crsi_1h'] > 4.0) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['mfi'] > 50.0) + | + ( + (dataframe['cti_1h'] < 0.8) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['hl_pct_change_36'] < 0.25) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['tpct_change_2'] < 0.06) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + + # Condition #61 - Semi swing. Local dip. Stochastic fast cross. + elif index == 61: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['open'] < dataframe['ema_8'] * 1.147) + item_buy_logic.append(qtpylib.crossed_above(dataframe['fastk'], dataframe['fastd'])) + item_buy_logic.append(dataframe['fastk'] < 39.0) + item_buy_logic.append(dataframe['fastd'] < 28.0) + item_buy_logic.append(dataframe['adx'] > 13.0) + item_buy_logic.append(dataframe['ewo'] > 3.4) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['cti_1h'] < 0.0) + item_buy_logic.append(dataframe['r_480_1h'] < -25.0) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['adx'] > 20.0) + ) + + # Condition #62 - Semi swing. Local dip. Downtrend. + elif index == 62: + # Non-Standard protections + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['ewo'] < -7.6) + item_buy_logic.append(dataframe['bb20_2_mid_1h'] >= dataframe['t3_avg_1h']) + item_buy_logic.append(dataframe['t3_avg'] <= dataframe['ema_8'] * 1.121) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_14'] < -78.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 4.0) + ) + item_buy_logic.append( + (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['crsi_1h'] > 4.0) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.2)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 6.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] < dataframe['ema_20'] * 0.964) + ) + item_buy_logic.append( + (dataframe['ewo'] < -8.4) + | (dataframe['crsi_1h'] > 8.0) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.75)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.25)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -8.6) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.75)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] < -8.0) + | (dataframe['cti_1h'] < -0.75) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.75)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -10.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 6.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.80)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.90)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -8.0) + | (dataframe['crsi_1h'] > 8.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.80)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.90)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + ) + item_buy_logic.append( + ( + ( + (dataframe['ewo'] < -8.0) + | (dataframe['crsi_1h'] > 8.0) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.80)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.90)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + ) + & + ( + (dataframe['ewo'] < -9.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.70)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + ) + ) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -8.8) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -10.0) + | (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.18) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['ewo'] < -10.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] < -10.0) + | (dataframe['cmf'] > -0.3) + | (dataframe['crsi_1h'] > 12.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['rsi_14'] < 28.0) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['cti'] < -0.95) + & (dataframe['crsi_1h'] > 2.0) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['cti_1h'] < -0.95) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['rsi_14_1h'] < 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['crsi_1h'] > 10.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['tpct_change_144'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['crsi_1h'] > 2.0) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + + # Condition #63 - Semi swing. Local dip. ClucHA. + elif index == 63: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + item_buy_logic.append(dataframe['close'] > (dataframe['ema_200_1h'] * 0.7)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['bb40_2_delta'] > dataframe['ha_close'] * 0.042) + item_buy_logic.append(dataframe['ha_closedelta'] > dataframe['ha_close'] * 0.017) + item_buy_logic.append(dataframe['ha_tail'] < dataframe['bb40_2_delta'] * 1.14) + item_buy_logic.append(dataframe['ha_close'] < dataframe['bb40_2_low'].shift()) + item_buy_logic.append(dataframe['ha_close'] < dataframe['ha_close'].shift()) + item_buy_logic.append(dataframe['roc_9_1h'] > 0.526) + item_buy_logic.append(dataframe['r_480_1h'] < -12.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 5.0) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['close'] > (dataframe['ema_200_1h'] * 0.76)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.95)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['r_480_1h'] < -18.0) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.5)) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.8) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['close'] < dataframe['ema_20'] * 0.97) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['bb40_2_delta'] > dataframe['ha_close'] * 0.056) + | (dataframe['ha_closedelta'] > dataframe['ha_close'] * 0.03) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['cti'] < -0.8) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['bb40_2_delta'] > dataframe['ha_close'] * 0.05) + | (dataframe['ha_closedelta'] > dataframe['ha_close'] * 0.02) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 22.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['bb40_2_delta'] > dataframe['ha_close'] * 0.05) + | (dataframe['ha_closedelta'] > dataframe['ha_close'] * 0.04) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['cti'] < 0.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['bb40_2_delta'] > dataframe['ha_close'] * 0.05) + | (dataframe['ha_closedelta'] > dataframe['ha_close'] * 0.04) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] > 4.0) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.97)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['ewo'] > 4.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.97)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['ewo'] > 4.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.97)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 36.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.96) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.0) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['rsi_14'] < 18.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['cti_1h'] < -0.8) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['cmf'] > -0.5) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['rsi_14_15m'] < 20.0) + | + ( + (dataframe['cti_15m'] < -0.9) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + ) + item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_12'] * 1.4)) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.8)) + + # Condition #64 - Semi swing. Squeeze momentum. + elif index == 64: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.8)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['bb20_2_low'] < dataframe['kc_lowerband_28_1']) + item_buy_logic.append(dataframe['bb20_2_upp'] > dataframe['kc_upperband_28_1']) + item_buy_logic.append(dataframe['linreg_val_20'].shift(2) > dataframe['linreg_val_20'].shift(1)) + item_buy_logic.append(dataframe['linreg_val_20'].shift(1) < dataframe['linreg_val_20']) + item_buy_logic.append(dataframe['linreg_val_20'] < 0.0) + item_buy_logic.append(dataframe['close'] < dataframe['ema_13'] * 0.976) + item_buy_logic.append(dataframe['ewo'] < -3.92) + item_buy_logic.append(dataframe['r_14'] < -46.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.9)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['crsi_1h'] > 8.0) + ) + item_buy_logic.append( + (dataframe['crsi_1h'] > 2.0) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 0.8)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -7.0) + | (dataframe['r_14'] < -90.0) + | (dataframe['crsi_1h'] > 6.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_13'] * 0.96) + ) + item_buy_logic.append( + (dataframe['ewo'] < -6.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['crsi_1h'] > 6.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(48)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_13'] * 0.96) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + ((dataframe['cmf'] > -0.2) & (dataframe['ewo'] < -6.0)) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 6.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.5)) + & (dataframe['ema_200_pct_change_288'] > -0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['cti_1h'] < -0.9) + | + ( + (dataframe['crsi_1h'] > 16.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['ema_200_pct_change_288'] > -0.12) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['ema_200_pct_change_288'] > -0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['crsi_1h'] > 4.0) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.5)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['close'] > (dataframe['sma_200_1h'] * 0.7)) + & (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 0.5)) + & (dataframe['ema_200_pct_change_288'] > -0.12) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | + ( + (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + & (dataframe['ema_200_pct_change_288'] > -0.12) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.95) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.995) + ) + + # Condition #65 - Semi swing. Local deep. + elif index == 65: + # Non-Standard protections + item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.88)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['kama'] > dataframe['fama']) + item_buy_logic.append(dataframe['fama'] > (dataframe['mama'] * 0.96)) + item_buy_logic.append(dataframe['mama_diff'] < -0.025) + item_buy_logic.append(dataframe['r_14'] < -90.0) + item_buy_logic.append(dataframe['rsi_14'] < 31.5) + item_buy_logic.append(dataframe['cti_1h'] < 0.25) + item_buy_logic.append(dataframe['crsi_1h'] > 22.0) + item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.25)) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['mfi'] > 28.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 20.0) + | (dataframe['r_14'] < -95.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] < dataframe['ema_20'] * 0.96) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.0) + | (dataframe['mfi'] > 28.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(48)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 12.0) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['ema_200_pct_change_288'] < 0.26) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['tpct_change_144'] < 0.12) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.1)) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.05) + ) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + & (dataframe['ema_200_pct_change_288'] > -0.18) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + ) + + # Condition #66 - Rapid mode. + elif index == 66: + # Non-Standard protections + item_buy_logic.append(dataframe['close_max_48'] >= (dataframe['close'] * 1.125 )) + item_buy_logic.append(dataframe['close_max_288'] >= (dataframe['close'] * 1.225 )) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['kama'] > dataframe['fama']) + item_buy_logic.append(dataframe['fama'] > (dataframe['mama'] * 0.981)) + item_buy_logic.append(dataframe['r_14'] < -61.0) + item_buy_logic.append(dataframe['mama_diff'] < -0.025) + item_buy_logic.append(dataframe['cti'] < -0.715) + item_buy_logic.append(dataframe['rsi_84'] < 60.0) + item_buy_logic.append(dataframe['rsi_112'] < 60.0) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 28.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 35.0) + | (dataframe['cti'] < -0.9) + | (dataframe['r_14'] < -90.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['btc_tpct_change_144_5m'] < 0.02) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['tpct_change_144'] < 0.12) + & (dataframe['mfi'] > 30.0) + ) + | (dataframe['rsi_14'] < 16.0) + | (dataframe['ewo'] > 1.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['tpct_change_144'] < 0.26) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 60.0) + | (dataframe['rsi_14'] < 14.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 25.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['tpct_change_144'] < 0.36) + & (dataframe['hl_pct_change_48_1h'] < 0.6) + ) + | (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14'] < 14.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 45.0) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['cmf'] > -0.2) + & (dataframe['mfi'] > 10.0) + & (dataframe['crsi_1h'] > 30.0) + ) + | (dataframe['rsi_14'] < 22.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 25.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.965) + & (dataframe['cmf'] > -0.3) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.965) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + & (dataframe['cmf'] > -0.3) + ) + | (dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.8)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['mfi'] > 40.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['crsi_1h'] > 16.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | (dataframe['tpct_change_144'] < 0.2) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.048)) + | (dataframe['rsi_112'] < 40.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 40.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + ) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.8)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['mfi'] > 40.0) + | + ( + (dataframe['rsi_14'] < 18.0) + & (dataframe['crsi_1h'] > 10.0) + ) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | + ( + (dataframe['crsi_1h'] > 50.0) + & (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + ) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + ) + | + ( + (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + & (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.94) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + & (dataframe['ema_200_pct_change_144'] < 0.12) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.026)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['close'] > (dataframe['sup_level_1h'] * 0.85)) + ) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 10.0) + | (dataframe['cti_1h'] < -0.95) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup2_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.955) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['rsi_14'] < 33.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['crsi'] > 30.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 36.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.048)) + | (dataframe['rsi_14_15m'] < 25.0) + | (dataframe['cti_15m'] < -0.95) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 36.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.25) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | (dataframe['rsi_14_15m'] < 30.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | + ( + (dataframe['mfi'] > 16.0) + & (dataframe['crsi_1h'] > 4.0) + ) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.048)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 10.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 25.0) + | (dataframe['r_14'] < -95.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 36.0) + | (dataframe['rsi_14'] < 16.0) + | + ( + (dataframe['cti'] < -0.95) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['r_14_1h'] < -97.0) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | (dataframe['tpct_change_144'] < 0.16) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.07)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['mfi'] > 25.0) + & (dataframe['ema_200_pct_change_144'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.24) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['rsi_14'] < 33.0) + ) + | (dataframe['rsi_14'] < 15.0) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['tpct_change_144'] < 0.26) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['r_480'] > -50.0) + | + ( + (dataframe['crsi'] > 30.0) + & (dataframe['hl_pct_change_36'] < 0.3) + & (dataframe['rsi_14'] < 30.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | (dataframe['cti_1h'] < -0.9) + | + ( + (dataframe['rsi_14_1h'] < 33.0) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['r_14_1h'] < -95.0) + & (dataframe['tpct_change_144'] < 0.22) + ) + | + ( + (dataframe['tpct_change_144'] < 0.16) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['sma_30'] * 0.86) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.91) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['btc_pct_close_max_72_5m'] < 1.06) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.96)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.03)) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + ) + + # Condition #67 - Rapid mode. + elif index == 67: + # Non-Standard protections + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.022) + item_buy_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) + item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + item_buy_logic.append(dataframe['closedelta'] > dataframe['close'] * 12.0 / 1000 ) + item_buy_logic.append(dataframe['ewo'] > -2.5) + item_buy_logic.append(dataframe['ewo'] < 4.0) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + (dataframe['rsi_14'] < 18.0) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.14) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.93) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + ) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 25.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 50.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.048)) + | + ( + (dataframe['close'] < (dataframe['bb20_2_low'] * 0.97)) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.22)) + ) + ) + item_buy_logic.append( + ((dataframe['btc_not_downtrend_1h'] == True) & (dataframe['cmf'] > -0.3)) + | (dataframe['mfi'] > 35.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | ((dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) & (dataframe['cmf'] > -0.3)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.032)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.955)) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.75) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.75) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_tpct_change_144_5m'] < 0.03) + | (dataframe['btc_pct_close_max_24_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.965) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['rsi_112'] < 40.0) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | + ( + (dataframe['mfi'] > 25.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['cti'] < -0.9) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['cti_1h'] < -0.0) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['rsi_14_1h'] < 40.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['crsi_1h'] > 20.0) + & (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + ) + | + ( + (dataframe['tpct_change_144'] < 0.2) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.91) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['crsi_1h'] > 4.0) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['rsi_14_15m'] < 30.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['cti_15m'] < -0.9) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 20.0) + | (dataframe['r_14'] < -90.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + + # Condition #68 - Rapid mode. + elif index == 68: + # Non-Standard protections + item_buy_logic.append(dataframe['close_max_48'] >= (dataframe['close'] * 1.125)) + item_buy_logic.append(dataframe['close_max_288'] >= (dataframe['close'] * 1.225)) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 1.03) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['vwap_lowerband']) + item_buy_logic.append(dataframe['vwap_width'] > 1.31) + item_buy_logic.append(dataframe['close_delta'] > dataframe['close'] * 27.0 / 1000) + item_buy_logic.append(dataframe['cti'] < -0.1) + item_buy_logic.append(dataframe['rsi_84'] < 60.0) + item_buy_logic.append(dataframe['rsi_112'] < 60.0) + item_buy_logic.append( + (dataframe['ewo'] > 8.0) + | (dataframe['tpct_change_144'] < 0.12) + | ((dataframe['rsi_14'] < 20.0) & (dataframe['btc_pct_close_max_24_5m'] < 1.001)) + | ((dataframe['close'] > dataframe['ema_20'] * 0.89) & (dataframe['close'] < dataframe['ema_20'] * 0.9)) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.95)) + | (dataframe['close_delta'] > dataframe['close'] * 80.0 / 1000) + ) + item_buy_logic.append( + (dataframe['cti'] < -0.9) + | (dataframe['tpct_change_144'] < 0.24) + | (dataframe['btc_pct_close_max_24_5m'] < 1.005) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['cti_1h'] < -0.9) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['cmf'] > -0.3) + & (dataframe['mfi'] > 20.0) + ) + | (dataframe['cti_1h'] < -0.9) + | + ( + (dataframe['ewo'] > 8.0) + & (dataframe['cti_1h'] < 0.8) + & (dataframe['crsi_1h'] > 10.0) + ) + | + ( + (dataframe['ewo'] > 8.0) + & (dataframe['crsi_1h'] > 20.0) + & (dataframe['tpct_change_144'] < 0.24) + ) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + & ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['cmf'] > -0.1) + & (dataframe['mfi'] > 10.0) + & (dataframe['ema_200_pct_change_144'] < 0.22) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['ewo'] > 8.0) + & (dataframe['cti_1h'] < 0.5) + & (dataframe['crsi_1h'] > 10.0) + ) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['rsi_14_1h'] < 20.0) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['crsi_1h'] > 5.0) + & (dataframe['ema_200_pct_change_288'] > -0.24) + ) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.93) + & (dataframe['cmf'] > 0.0) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + & ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.036)) + & (dataframe['cmf'] > -0.25) + & (dataframe['tpct_change_144'] < 0.34) + ) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.89) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.09)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.8) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_36'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | + ( + (dataframe['close'] < (dataframe['res1_1d'] * 1.0)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.87) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.95)) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #69 - Rapid mode. + elif index == 69: + # Non-Standard protections + item_buy_logic.append(dataframe['close_max_48'] >= (dataframe['close'] * 1.125)) + item_buy_logic.append(dataframe['close_max_288'] >= (dataframe['close'] * 1.225)) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 1.03) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_288'] < 0.3) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['vwap_lowerband']) + item_buy_logic.append(dataframe['vwap_width'] > 3.212) + item_buy_logic.append(dataframe['close_delta'] > dataframe['close'] * 20.1 / 1000) + item_buy_logic.append(dataframe['cti'] < -0.748) + item_buy_logic.append(dataframe['rsi_84'] < 60.0) + item_buy_logic.append(dataframe['rsi_112'] < 60.0) + item_buy_logic.append(dataframe['ewo'] > 4.0) + item_buy_logic.append(dataframe['ewo'] < 8.0) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 25.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.24) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.975)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.04)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.24) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 50.0) + | (dataframe['rsi_14'] < 30.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['r_14_1h'] < -75.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | + ( + (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['btc_pct_close_max_72_5m'] < 1.03) + & (dataframe['tpct_change_144'] < 0.2) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.91) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + ) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.0) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + ) + | + ( + (dataframe['mfi'] > 40.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['rsi_14'] < 22.0) + | + ( + (dataframe['crsi'] > 25.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['rsi_14'] < 36.0) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | (dataframe['cti_1h'] < -0.0) + | + ( + (dataframe['rsi_14_1h'] < 40.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + ) + | + ( + (dataframe['r_14_1h'] < -90.0) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['tpct_change_144'] < 0.2) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | + ( + (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['ema_200_pct_change_144'] < 0.1) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.4) + & (dataframe['hl_pct_change_36'] < 0.26) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.014)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.86) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.89) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.048)) + & (dataframe['ema_200_pct_change_144'] < 0.16) + & (dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + & (dataframe['cti_1h'] < 0.75) + & (dataframe['hl_pct_change_48_1h'] < 0.75) + & (dataframe['not_downtrend_1h']) + ) + | ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.02)) + | (dataframe['rsi_14_15m'] < 30.0) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #70 - Rapid mode. + elif index == 70: + # Non-Standard protections + item_buy_logic.append(dataframe['close_max_48'] >= (dataframe['close'] * 1.05)) + item_buy_logic.append(dataframe['close_max_288'] >= (dataframe['close'] * 1.125)) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 1.03) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['vwap_lowerband']) + item_buy_logic.append(dataframe['vwap_width'] > 0.5) + item_buy_logic.append(dataframe['close_delta'] > dataframe['close'] * 27.66 / 1000) + item_buy_logic.append(dataframe['cti'] < -0.2) + item_buy_logic.append(dataframe['rsi_84'] < 60.0) + item_buy_logic.append(dataframe['rsi_112'] < 60.0) + item_buy_logic.append(dataframe['ewo'] > -2.5) + item_buy_logic.append(dataframe['ewo'] < 4.0) + item_buy_logic.append(dataframe['rsi_14_1h'] < 40.0) + item_buy_logic.append( + ((dataframe['btc_not_downtrend_1h'] == True) & (dataframe['cmf'] > -0.3)) + | (dataframe['mfi'] > 40.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.95)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | + ( + (dataframe['rsi_14'] < 6.0) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['ema_200_pct_change_288'] > -0.16) + ) + | (dataframe['cti_1h'] < -0.8) + | + ( + (dataframe['rsi_14_1h'] < 25.0) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['crsi_1h'] > 2.0) + ) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.06) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.92) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.96)) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['crsi_1h'] > 2.0) + ) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['crsi_1h'] > 35.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + item_buy_logic.append( + (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + ) + + # Condition #71 - Rapid mode. + elif index == 71: + # Non-Standard protections + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 1.03) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['vwap_lowerband']) + item_buy_logic.append(dataframe['tpct_change_0'] > 0.04) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['rsi_14'] < 35.0) + item_buy_logic.append(dataframe['rsi_84'] < 60.0) + item_buy_logic.append(dataframe['rsi_112'] < 60.0) + item_buy_logic.append( + (dataframe['mfi'] > 50.0) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.24) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 40.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 35.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['btc_pct_close_max_72_5m'] < 1.02) + | (dataframe['close'] < dataframe['ema_20'] * 0.89) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 35.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 40.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.965) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 6.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_0'] > 0.08) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.02) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sup1_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.96) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | + ( + (dataframe['mfi'] > 16.0) + & (dataframe['crsi_1h'] > 5.0) + ) + | (dataframe['cmf_1h'] > 0.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['crsi_1h'] > 6.0) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + & (dataframe['crsi_1h'] > 6.0) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.066)) + ) + item_buy_logic.append( + (dataframe['rsi_14'] < 20.0) + | + ( + (dataframe['cti_1h'] < 0.25) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['r_14_1h'] < -75.0) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + | + ( + (dataframe['crsi_1h'] > 40.0) + & (dataframe['ema_200_pct_change_288'] < 0.2) + ) + | + ( + (dataframe['cmf_1h'] > 0.0) + & (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + & (dataframe['cti_1h'] < 0.8) + ) + | (dataframe['tpct_change_144'] < 0.14) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_36'] < 0.16) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.45) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + & (dataframe['cti_1h'] < 0.85) + ) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.87) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.89) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.98)) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.01)) + & (dataframe['ema_200_pct_change_288'] < 0.16) + ) + ) + + # Condition #72 - Rapid mode. + elif index == 72: + # Non-Standard protections + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 1.03) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_288'] < 0.4) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.024) + item_buy_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append(dataframe['r_14'] < -44.0) + item_buy_logic.append(dataframe['rsi_84'] < 60.0) + item_buy_logic.append(dataframe['rsi_112'] < 60.0) + item_buy_logic.append(dataframe['ewo'] > -5.585) + item_buy_logic.append(dataframe['ewo'] < -2.0) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 35.0) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.038)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.0) + & (dataframe['mfi'] > 30.0) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + ( + (dataframe['mfi'] > 40.0) + & (dataframe['cmf'] > 0.1) + ) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 25.0) + | + ( + (dataframe['tpct_change_144'] < 0.18) + & (dataframe['crsi_1h'] > 10.0) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + & (dataframe['crsi_1h'] > 10.0) + ) + | (dataframe['close'] > (dataframe['sma_200'] * 0.91)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.042)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.99)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 14.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 25.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.14)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.995)) + ) + item_buy_logic.append( + (dataframe['ewo'] < -4.0) + | ((dataframe['btc_not_downtrend_1h'] == True) & (dataframe['cmf'] > -0.3)) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < (dataframe['bb20_2_low'] * 0.98)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['cti_1h'] < -0.8) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.03) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['btc_not_downtrend_1h'] == True) + | (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 10.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['crsi_1h'] > 10.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] > (dataframe['sup3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 50.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 30.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.054)) + ) + item_buy_logic.append( + ( + (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['ema_200_pct_change_288'] < 0.2) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['cmf'] > -0.2) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['mfi'] > 20.0) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['rsi_14'] < 10.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['cti_1h'] < -0.5) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['rsi_14_1h'] < 25.0) + | (dataframe['r_14_1h'] < -98.0) + | + ( + (dataframe['crsi_1h'] > 16.0) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['tpct_change_144'] < 0.2) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['btc_pct_close_max_72_5m'] < 1.04) + ) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.25) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | + ( + (dataframe['close'] < dataframe['sma_30'] * 0.81) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.87) + & (dataframe['hl_pct_change_36'] < 0.3) + ) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.999) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.08)) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.89)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.05)) + & (dataframe['hl_pct_change_36'] < 0.2) + ) + | (dataframe['cti_15m'] < -0.9) + ) + + # Condition #73 - Half mode. + elif index == 73: + item_buy_logic.append(current_free_slots >= self.half_mode_min_free_slots) + # Non-Standard protections + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 1.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 1.03) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + + # Logic + item_buy_logic.append(dataframe['close'] < dataframe['vwap_lowerband']) + item_buy_logic.append(dataframe['bb20_width_1h'] > 0.15) + item_buy_logic.append(dataframe['r_14'] < -50.0) + item_buy_logic.append(dataframe['r_96'] < -50.0) + item_buy_logic.append(dataframe['cti'] < -0.8) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.985)) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 40.0) + | (dataframe['rsi_14'] < 15.0) + | (dataframe['cti'] < -0.9) + | (dataframe['rsi_14_1h'] < 25.0) + | (dataframe['crsi_1h'] > 16.0) + | (dataframe['tpct_change_144'] < 0.12) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.2) + & (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + ) + | (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (dataframe['sma_200'] > dataframe['sma_200'].shift(24)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.975) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.016)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.2) + | (dataframe['mfi'] > 30.0) + | (dataframe['cti'] < -0.95) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.04)) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.978) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.012)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.1) + | (dataframe['mfi'] > 46.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti'] < -0.9) + | (dataframe['cti_1h'] < -0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | + ( + (dataframe['crsi_1h'] > 50.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.05)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.95) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.982) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.01)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.3) + & (dataframe['crsi_1h'] > 8.0) + & (dataframe['ema_200_pct_change_144'] > -0.1) + & (dataframe['hl_pct_change_36'] < 0.12) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['ema_200_pct_change_288'] > -0.1) + & (dataframe['crsi'] > 4.0) + ) + | + ( + (dataframe['mfi'] > 40.0) + & (dataframe['crsi_1h'] > 8.0) + ) + | + ( + (dataframe['rsi_14'] < 10.0) + & (dataframe['ema_200_pct_change_288'] > -0.1) + & (dataframe['tpct_change_144'] < 0.2) + & (dataframe['not_downtrend_1h']) + ) + | (dataframe['cti_1h'] < -0.95) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['crsi_1h'] > 5.0) + & (dataframe['ema_200_pct_change_144'] > -0.1) + & (dataframe['ema_200_pct_change_288'] > -0.1) + ) + | + ( + (dataframe['r_14_1h'] < -94.0) + & (dataframe['tpct_change_144'] < 0.2) + ) + | + ( + (dataframe['tpct_change_144'] < 0.08) + & (dataframe['hl_pct_change_48_1h'] < 0.7) + ) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.06)) + | (dataframe['hl_pct_change_48_1h'] < 0.16) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['bb20_width_1h'] > 0.18) + & (dataframe['cmf'] > -0.5) + & (dataframe['hl_pct_change_48_1h'] < 0.5) + ) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['cmf'] > -0.5) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | + ( + (dataframe['close'] < dataframe['ema_20'] * 0.94) + & (dataframe['not_downtrend_1h']) + ) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + & (dataframe['not_downtrend_1h']) + ) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02)) + ) + + # Condition #74 - Half mode. + elif index == 74: + item_buy_logic.append(current_free_slots >= self.half_mode_min_free_slots) + # Non-Standard protections + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 1.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 1.03) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.5) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.12) + + # Logic + item_buy_logic.append(dataframe['rsi_14'] < dataframe['rsi_14'].shift(1)) + item_buy_logic.append(dataframe['rsi_4'] < 46.0) + item_buy_logic.append(dataframe['rsi_14'] > 19.0) + item_buy_logic.append(dataframe['rsi_14'] < 32.0) + item_buy_logic.append(dataframe['close'] < dataframe['sma_15'] * 0.956) + item_buy_logic.append(dataframe['cti'] < -0.9) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 30.0) + | (dataframe['rsi_14'] < 22.0) + | (dataframe['cti_1h'] < -0.9) + | (dataframe['rsi_14_1h'] < 20.0) + | (dataframe['crsi_1h'] > 20.0) + | (dataframe['tpct_change_144'] < 0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.25) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + | (dataframe['close'] > (dataframe['sma_200_1h'] * 0.9)) + | (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.2) + & (dataframe['rsi_14'] < 22.0) + ) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['rsi_14_1h'] < 20.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.5) + & (dataframe['rsi_14_1h'] < 50.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | + ( + (dataframe['close'] > (dataframe['sup_level_1h'] * 0.95)) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['close'] > (dataframe['sma_200'] * 0.95)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.042)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | (dataframe['mfi'] > 50.0) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.8)) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | + ( + (dataframe['mfi'] > 40.0) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['tpct_change_144'] < 0.2) + ) + | (dataframe['rsi_14'] < 18.0) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['close'] > (dataframe['sma_200'] * 0.9)) + ) + | (dataframe['tpct_change_144'] < 0.1) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | + ( + (dataframe['hl_pct_change_48_1h'] < 0.3) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.02) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + | (dataframe['close'] < dataframe['ema_20'] * 0.94) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.98) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.028)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.0) + | + ( + (dataframe['cmf'] > -0.1) + & (dataframe['mfi'] > 20.0) + ) + | + ( + (dataframe['cti_1h'] < -0.9) + & (dataframe['rsi_14_1h'] < 20.0) + ) + | (dataframe['crsi_1h'] > 36.0) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['cmf'] > -0.2) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.87) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['cmf'] > -0.5) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.034)) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 16.0) + | (dataframe['rsi_14'] < 25.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.92) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.2) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | + ( + (dataframe['crsi_1h'] > 40.0) + & (dataframe['btc_pct_close_max_72_5m'] < 1.01) + ) + | (dataframe['tpct_change_144'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.08)) + | (dataframe['hl_pct_change_48_1h'] < 0.2) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.014)) + & (dataframe['tpct_change_144'] < 0.3) + ) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 10.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 40.0) + | (dataframe['tpct_change_144'] < 0.24) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > -0.3) + | (dataframe['mfi'] > 20.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti_1h'] < 0.0) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['crsi_1h'] > 30.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['hl_pct_change_48_1h'] < 0.3) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | (dataframe['close'] < dataframe['ema_20'] * 0.93) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > 0.1) + & (dataframe['cti_1h'] < 0.85) + ) + | (dataframe['mfi'] > 50.0) + | (dataframe['cti_1h'] < 0.8) + | (dataframe['rsi_14_1h'] < 40.0) + | (dataframe['r_14_1h'] < -90.0) + | (dataframe['tpct_change_144'] < 0.16) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['hl_pct_change_48_1h'] < 0.4) + | (dataframe['close'] < (dataframe['res3_1d'] * 1.0)) + | (dataframe['close'] < dataframe['ema_20'] * 0.91) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.97) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.044)) + ) + item_buy_logic.append( + (dataframe['cmf'] > 0.1) + | (dataframe['mfi'] > 50.0) + | (dataframe['rsi_14'] < 20.0) + | (dataframe['cti'] < -0.97) + | (dataframe['cti_1h'] < -0.9) + | + ( + (dataframe['crsi_1h'] > 10.0) + & (dataframe['cti_1h'] < 0.5) + ) + | (dataframe['tpct_change_144'] < 0.2) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + | (dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['close'] < dataframe['ema_20'] * 0.88) + | (dataframe['close'] < dataframe['bb20_2_low'] * 0.992) + | ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.1)) + ) + item_buy_logic.append( + ( + (dataframe['cmf'] > -0.1) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['tpct_change_144'] < 0.3) + & (dataframe['ema_200_pct_change_288'] > -0.18) + & (dataframe['ema_200_pct_change_288'] < 0.08) + & (dataframe['crsi_1h'] > 6.0) + & (dataframe['hl_pct_change_36'] < 0.16) + ) + | + ( + (dataframe['mfi'] > 30.0) + & (dataframe['crsi_1h'] > 5.0) + ) + | + ( + (dataframe['rsi_14'] < 20.0) + & (dataframe['crsi_1h'] > 6.0) + & (dataframe['hl_pct_change_36'] < 0.16) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['crsi'] > 20.0) + | + ( + (dataframe['cti_1h'] < -0.0) + & (dataframe['tpct_change_144'] < 0.26) + & (dataframe['ema_200_pct_change_288'] > -0.1) + & (dataframe['ema_200_pct_change_288'] < 0.22) + & (dataframe['crsi_1h'] > 6.0) + ) + | + ( + (dataframe['rsi_14_1h'] < 30.0) + & (dataframe['ema_200_pct_change_288'] > -0.18) + & (dataframe['tpct_change_144'] < 0.22) + & (dataframe['crsi_1h'] > 6.0) + ) + | + ( + (dataframe['r_14_1h'] < -94.0) + & (dataframe['tpct_change_144'] < 0.22) + ) + | + ( + (dataframe['tpct_change_144'] < 0.1) + & (dataframe['sma_200_dec_20_1h'] == False) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['close_max_48'] < (dataframe['close'] * 1.1)) + & (dataframe['tpct_change_144'] < 0.3) + & (dataframe['sma_200_dec_20_1h'] == False) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | + ( + (dataframe['hl_pct_change_36'] < 0.1) + & (dataframe['ema_200_pct_change_288'] < 0.12) + ) + | (dataframe['hl_pct_change_48_1h'] < 0.16) + | + ( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + & (dataframe['btc_not_downtrend_1h'] == True) + & (dataframe['hl_pct_change_48_1h'] < 0.8) + & (dataframe['crsi_1h'] > 10.0) + & (dataframe['ema_200_pct_change_288'] > -0.12) + & (dataframe['ema_200_pct_change_288'] < 0.08) + & (dataframe['cmf'] > -0.3) + ) + | (dataframe['ema_200'] > (dataframe['ema_200'].shift(12) * 1.01)) + | + ( + (dataframe['close'] > (dataframe['sma_200'] * 0.99)) + & (dataframe['hl_pct_change_48_1h'] < 0.9) + & (dataframe['ema_200_pct_change_288'] < 0.16) + & (dataframe['cmf'] > -0.3) + & (dataframe['hl_pct_change_36'] < 0.12) + ) + | (dataframe['close'] < dataframe['sma_30'] * 0.85) + | (dataframe['close'] < dataframe['ema_20'] * 0.9) + | + ( + (dataframe['close'] < dataframe['bb20_2_low'] * 0.99) + & (dataframe['ema_200_pct_change_288'] < 0.12) + & (dataframe['ema_200_pct_change_288'] > -0.2) + ) + | + ( + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.05)) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['crsi_1h'] > 5.0) + & (dataframe['ema_200_pct_change_288'] > -0.24) + ) + | (dataframe['close_15m'] < (dataframe['bb20_2_low_15m'] * 0.93)) + | + ( + ((dataframe['ema_26_15m'] - dataframe['ema_12_15m']) > (dataframe['open_15m'] * 0.038)) + & (dataframe['hl_pct_change_36'] < 0.2) + & (dataframe['crsi_1h'] > 5.0) + & (dataframe['ema_200_pct_change_288'] > -0.24) + ) + | + ( + (dataframe['rsi_14_15m'] < 20.0) + & (dataframe['crsi_1h'] > 5.0) + & (dataframe['ema_200_pct_change_288'] > -0.24) + ) + | (dataframe['cti_15m'] < -0.9) + ) + + item_buy_logic.append(dataframe['volume'] > 0) + # for leveraged long pairs + is_leverage_long = bool(re.match(leverage_pattern_long, metadata['pair'])) + item_buy_logic.append( + (dataframe['btc_pct_close_max_72_5m'] < 1.01) + | (not is_leverage_long) + ) + # Extra dump check + if (self.insanity_dump_checks): + item_buy_logic.append((dataframe['btc_pct_close_max_24_5m'] < 1.025)) + item_buy_logic.append(dataframe['hl_pct_change_36'] < 0.3) + item_buy_logic.append(dataframe['ema_200_pct_change_288'] < 0.3) + item_buy_logic.append(dataframe['ema_200_pct_change_144'] < 0.25) + item_buy_logic.append(dataframe['hl_pct_change_48_1h'] < 0.75) + item_buy = reduce(lambda x, y: x & y, item_buy_logic) + dataframe.loc[item_buy, 'enter_tag'] += f"{index} " + conditions.append(item_buy) + dataframe.loc[:, 'enter_long'] = item_buy + + if conditions: + dataframe.loc[:, 'enter_long'] = reduce(lambda x, y: x | y, conditions) + + return dataframe + + def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + dataframe.loc[:, 'exit_long'] = 0 + dataframe.loc[:, 'exit_short'] = 0 + + return dataframe + + def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float, + time_in_force: str, current_time: datetime, entry_tag: Optional[str], + side: str, **kwargs) -> bool: + # allow force entries + if (entry_tag == 'force_entry'): + return True + + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + + if(len(dataframe) < 1): + return True + + dataframe = dataframe.iloc[-1].squeeze() + + if ((rate > dataframe['close'])): + slippage = ((rate / dataframe['close']) - 1.0) + + if slippage < 0.0075: + return True + else: + log.warning( + "Cancelling buy for %s due to slippage %s", + pair, slippage + ) + return False + + return True + + def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float, + rate: float, time_in_force: str, exit_reason: str, + current_time: datetime, **kwargs) -> bool: + # Allow force exits + if exit_reason != 'force_exit': + if self._should_hold_trade(trade, rate, exit_reason): + return False + if (exit_reason == 'stop_loss'): + return False + if (('exit_profit_only' in self.config and self.config['exit_profit_only']) + or ('sell_profit_only' in self.config and self.config['sell_profit_only'])): + current_profit = ((rate - trade.open_rate) / trade.open_rate) + if (current_profit < self.exit_profit_offset): + return False + + self._remove_profit_target(pair) + + return True + + def _set_profit_target(self, pair: str, sell_reason: str, rate: float, current_profit: float, current_time: datetime): + self.target_profit_cache.data[pair] = { + "rate": rate, + "profit": current_profit, + "sell_reason": sell_reason, + "time_profit_reached": current_time.isoformat() + } + self.target_profit_cache.save() + + def _remove_profit_target(self, pair: str): + if self.target_profit_cache is not None: + self.target_profit_cache.data.pop(pair, None) + self.target_profit_cache.save() + + def _should_hold_trade(self, trade: "Trade", rate: float, sell_reason: str) -> bool: + if self.config['runmode'].value not in ('live', 'dry_run'): + return False + + if not self.holdSupportEnabled: + return False + + # Just to be sure our hold data is loaded, should be a no-op call after the first bot loop + self.load_hold_trades_config() + + if not self.hold_trades_cache: + # Cache hasn't been setup, likely because the corresponding file does not exist, sell + return False + + if not self.hold_trades_cache.data: + # We have no pairs we want to hold until profit, sell + return False + + # By default, no hold should be done + hold_trade = False + + trade_ids: dict = self.hold_trades_cache.data.get("trade_ids") + if trade_ids and trade.id in trade_ids: + trade_profit_ratio = trade_ids[trade.id] + current_profit_ratio = trade.calc_profit_ratio(rate) + if sell_reason == "force_sell": + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Force selling %s even though the current profit of %s < %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + elif current_profit_ratio >= trade_profit_ratio: + # This pair is on the list to hold, and we reached minimum profit, sell + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Selling %s because the current profit of %s >= %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + + # This pair is on the list to hold, and we haven't reached minimum profit, hold + hold_trade = True + + trade_pairs: dict = self.hold_trades_cache.data.get("trade_pairs") + if trade_pairs and trade.pair in trade_pairs: + trade_profit_ratio = trade_pairs[trade.pair] + current_profit_ratio = trade.calc_profit_ratio(rate) + if sell_reason == "force_sell": + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Force selling %s even though the current profit of %s < %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + elif current_profit_ratio >= trade_profit_ratio: + # This pair is on the list to hold, and we reached minimum profit, sell + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Selling %s because the current profit of %s >= %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + + # This pair is on the list to hold, and we haven't reached minimum profit, hold + hold_trade = True + + return hold_trade + +# Elliot Wave Oscillator +def ewo(dataframe, sma1_length=5, sma2_length=35): + sma1 = ta.EMA(dataframe, timeperiod=sma1_length) + sma2 = ta.EMA(dataframe, timeperiod=sma2_length) + smadif = (sma1 - sma2) / dataframe['close'] * 100 + return smadif + +# Chaikin Money Flow +def chaikin_money_flow(dataframe, n=20, fillna=False) -> Series: + """Chaikin Money Flow (CMF) + It measures the amount of Money Flow Volume over a specific period. + http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf + Args: + dataframe(pandas.Dataframe): dataframe containing ohlcv + n(int): n period. + fillna(bool): if True, fill nan values. + Returns: + pandas.Series: New feature generated. + """ + mfv = ((dataframe['close'] - dataframe['low']) - (dataframe['high'] - dataframe['close'])) / (dataframe['high'] - dataframe['low']) + mfv = mfv.fillna(0.0) # float division by zero + mfv *= dataframe['volume'] + cmf = (mfv.rolling(n, min_periods=0).sum() + / dataframe['volume'].rolling(n, min_periods=0).sum()) + if fillna: + cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0) + return Series(cmf, name='cmf') + +# Williams %R +def williams_r(dataframe: DataFrame, period: int = 14) -> Series: + """Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low + of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams. + Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between, + of its recent trading range. + The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest). + """ + + highest_high = dataframe["high"].rolling(center=False, window=period).max() + lowest_low = dataframe["low"].rolling(center=False, window=period).min() + + WR = Series( + (highest_high - dataframe["close"]) / (highest_high - lowest_low), + name=f"{period} Williams %R", + ) + + return WR * -100 + +# Volume Weighted Moving Average +def vwma(dataframe: DataFrame, length: int = 10): + """Indicator: Volume Weighted Moving Average (VWMA)""" + # Calculate Result + pv = dataframe['close'] * dataframe['volume'] + vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe['volume'], timeperiod=length)) + vwma = vwma.fillna(0, inplace=True) + return vwma + +# Exponential moving average of a volume weighted simple moving average +def ema_vwma_osc(dataframe, len_slow_ma): + slow_ema = Series(ta.EMA(vwma(dataframe, len_slow_ma), len_slow_ma)) + return ((slow_ema - slow_ema.shift(1)) / slow_ema.shift(1)) * 100 + +# VWAP bands +def vwap_bands(dataframe, window_size=20, num_of_std=1): + df = dataframe.copy() + df['vwap'] = qtpylib.rolling_vwap(df,window=window_size) + rolling_std = df['vwap'].rolling(window=window_size).std() + df['vwap_low'] = df['vwap'] - (rolling_std * num_of_std) + df['vwap_high'] = df['vwap'] + (rolling_std * num_of_std) + return df['vwap_low'], df['vwap'], df['vwap_high'] + +def t3_average(dataframe, length=5): + """ + T3 Average by HPotter on Tradingview + https://www.tradingview.com/script/qzoC9H1I-T3-Average/ + """ + df = dataframe.copy() + + df['xe1'] = ta.EMA(df['close'], timeperiod=length) + df['xe1'].fillna(0, inplace=True) + df['xe2'] = ta.EMA(df['xe1'], timeperiod=length) + df['xe2'].fillna(0, inplace=True) + df['xe3'] = ta.EMA(df['xe2'], timeperiod=length) + df['xe3'].fillna(0, inplace=True) + df['xe4'] = ta.EMA(df['xe3'], timeperiod=length) + df['xe4'].fillna(0, inplace=True) + df['xe5'] = ta.EMA(df['xe4'], timeperiod=length) + df['xe5'].fillna(0, inplace=True) + df['xe6'] = ta.EMA(df['xe5'], timeperiod=length) + df['xe6'].fillna(0, inplace=True) + b = 0.7 + c1 = -b * b * b + c2 = 3 * b * b + 3 * b * b * b + c3 = -6 * b * b - 3 * b - 3 * b * b * b + c4 = 1 + 3 * b + b * b * b + 3 * b * b + df['T3Average'] = c1 * df['xe6'] + c2 * df['xe5'] + c3 * df['xe4'] + c4 * df['xe3'] + + return df['T3Average'] + +def pivot_points(dataframe: DataFrame, mode = 'fibonacci') -> Series: + if mode == 'simple': + hlc3_pivot = (dataframe['high'] + dataframe['low'] + dataframe['close']).shift(1) / 3 + res1 = hlc3_pivot * 2 - dataframe['low'].shift(1) + sup1 = hlc3_pivot * 2 - dataframe['high'].shift(1) + res2 = hlc3_pivot + (dataframe['high'] - dataframe['low']).shift() + sup2 = hlc3_pivot - (dataframe['high'] - dataframe['low']).shift() + res3 = hlc3_pivot * 2 + (dataframe['high'] - 2 * dataframe['low']).shift() + sup3 = hlc3_pivot * 2 - (2 * dataframe['high'] - dataframe['low']).shift() + return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 + elif mode == 'fibonacci': + hlc3_pivot = (dataframe['high'] + dataframe['low'] + dataframe['close']).shift(1) / 3 + hl_range = (dataframe['high'] - dataframe['low']).shift(1) + res1 = hlc3_pivot + 0.382 * hl_range + sup1 = hlc3_pivot - 0.382 * hl_range + res2 = hlc3_pivot + 0.618 * hl_range + sup2 = hlc3_pivot - 0.618 * hl_range + res3 = hlc3_pivot + 1 * hl_range + sup3 = hlc3_pivot - 1 * hl_range + return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 + elif mode == 'DeMark': + demark_pivot_lt = (dataframe['low'] * 2 + dataframe['high'] + dataframe['close']) + demark_pivot_eq = (dataframe['close'] * 2 + dataframe['low'] + dataframe['high']) + demark_pivot_gt = (dataframe['high'] * 2 + dataframe['low'] + dataframe['close']) + demark_pivot = np.where((dataframe['close'] < dataframe['open']), demark_pivot_lt, np.where((dataframe['close'] > dataframe['open']), demark_pivot_gt, demark_pivot_eq)) + dm_pivot = demark_pivot / 4 + dm_res = demark_pivot / 2 - dataframe['low'] + dm_sup = demark_pivot / 2 - dataframe['high'] + return dm_pivot, dm_res, dm_sup + +def heikin_ashi(dataframe, smooth_inputs = False, smooth_outputs = False, length = 10): + df = dataframe[['open','close','high','low']].copy().fillna(0) + if smooth_inputs: + df['open_s'] = ta.EMA(df['open'], timeframe = length) + df['high_s'] = ta.EMA(df['high'], timeframe = length) + df['low_s'] = ta.EMA(df['low'], timeframe = length) + df['close_s'] = ta.EMA(df['close'],timeframe = length) + + open_ha = (df['open_s'].shift(1) + df['close_s'].shift(1)) / 2 + high_ha = df.loc[:, ['high_s', 'open_s', 'close_s']].max(axis=1) + low_ha = df.loc[:, ['low_s', 'open_s', 'close_s']].min(axis=1) + close_ha = (df['open_s'] + df['high_s'] + df['low_s'] + df['close_s'])/4 + else: + open_ha = (df['open'].shift(1) + df['close'].shift(1)) / 2 + high_ha = df.loc[:, ['high', 'open', 'close']].max(axis=1) + low_ha = df.loc[:, ['low', 'open', 'close']].min(axis=1) + close_ha = (df['open'] + df['high'] + df['low'] + df['close'])/4 + + open_ha = open_ha.fillna(0) + high_ha = high_ha.fillna(0) + low_ha = low_ha.fillna(0) + close_ha = close_ha.fillna(0) + + if smooth_outputs: + open_sha = ta.EMA(open_ha, timeframe = length) + high_sha = ta.EMA(high_ha, timeframe = length) + low_sha = ta.EMA(low_ha, timeframe = length) + close_sha = ta.EMA(close_ha, timeframe = length) + + return open_sha, close_sha, low_sha + else: + return open_ha, close_ha, low_ha + +# Range midpoint acts as Support +def is_support(row_data) -> bool: + conditions = [] + for row in range(len(row_data)-1): + if row < len(row_data)//2: + conditions.append(row_data[row] > row_data[row+1]) + else: + conditions.append(row_data[row] < row_data[row+1]) + result = reduce(lambda x, y: x & y, conditions) + return result + +# Range midpoint acts as Resistance +def is_resistance(row_data) -> bool: + conditions = [] + for row in range(len(row_data)-1): + if row < len(row_data)//2: + conditions.append(row_data[row] < row_data[row+1]) + else: + conditions.append(row_data[row] > row_data[row+1]) + result = reduce(lambda x, y: x & y, conditions) + return result + + +class Cache: + + def __init__(self, path): + self.path = path + self.data = {} + self._mtime = None + self._previous_data = {} + try: + self.load() + except FileNotFoundError: + pass + + @staticmethod + def rapidjson_load_kwargs(): + return {"number_mode": rapidjson.NM_NATIVE} + + @staticmethod + def rapidjson_dump_kwargs(): + return {"number_mode": rapidjson.NM_NATIVE} + + def load(self): + if not self._mtime or self.path.stat().st_mtime_ns != self._mtime: + self._load() + + def save(self): + if self.data != self._previous_data: + self._save() + + def process_loaded_data(self, data): + return data + + def _load(self): + # This method only exists to simplify unit testing + with self.path.open("r") as rfh: + try: + data = rapidjson.load( + rfh, + **self.rapidjson_load_kwargs() + ) + except rapidjson.JSONDecodeError as exc: + log.error("Failed to load JSON from %s: %s", self.path, exc) + else: + self.data = self.process_loaded_data(data) + self._previous_data = copy.deepcopy(self.data) + self._mtime = self.path.stat().st_mtime_ns + + def _save(self): + # This method only exists to simplify unit testing + rapidjson.dump( + self.data, + self.path.open("w"), + **self.rapidjson_dump_kwargs() + ) + self._mtime = self.path.stat().st_mtime + self._previous_data = copy.deepcopy(self.data) + + +class HoldsCache(Cache): + + @staticmethod + def rapidjson_load_kwargs(): + return { + "number_mode": rapidjson.NM_NATIVE, + "object_hook": HoldsCache._object_hook, + } + + @staticmethod + def rapidjson_dump_kwargs(): + return { + "number_mode": rapidjson.NM_NATIVE, + "mapping_mode": rapidjson.MM_COERCE_KEYS_TO_STRINGS, + } + + def save(self): + raise RuntimeError("The holds cache does not allow programatical save") + + def process_loaded_data(self, data): + trade_ids = data.get("trade_ids") + trade_pairs = data.get("trade_pairs") + + if not trade_ids and not trade_pairs: + return data + + open_trades = {} + for trade in Trade.get_trades_proxy(is_open=True): + open_trades[trade.id] = open_trades[trade.pair] = trade + + r_trade_ids = {} + if trade_ids: + if isinstance(trade_ids, dict): + # New syntax + for trade_id, profit_ratio in trade_ids.items(): + if not isinstance(trade_id, int): + log.error( + "The trade_id(%s) defined under 'trade_ids' in %s is not an integer", + trade_id, self.path + ) + continue + if not isinstance(profit_ratio, float): + log.error( + "The 'profit_ratio' config value(%s) for trade_id %s in %s is not a float", + profit_ratio, + trade_id, + self.path + ) + if trade_id in open_trades: + formatted_profit_ratio = f"{profit_ratio * 100}%" + log.warning( + "The trade %s is configured to HOLD until the profit ratio of %s is met", + open_trades[trade_id], + formatted_profit_ratio + ) + r_trade_ids[trade_id] = profit_ratio + else: + log.warning( + "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", + trade_id, + self.path + ) + else: + # Initial Syntax + profit_ratio = data.get("profit_ratio") + if profit_ratio: + if not isinstance(profit_ratio, float): + log.error( + "The 'profit_ratio' config value(%s) in %s is not a float", + profit_ratio, + self.path + ) + else: + profit_ratio = 0.005 + formatted_profit_ratio = f"{profit_ratio * 100}%" + for trade_id in trade_ids: + if not isinstance(trade_id, int): + log.error( + "The trade_id(%s) defined under 'trade_ids' in %s is not an integer", + trade_id, self.path + ) + continue + if trade_id in open_trades: + log.warning( + "The trade %s is configured to HOLD until the profit ratio of %s is met", + open_trades[trade_id], + formatted_profit_ratio + ) + r_trade_ids[trade_id] = profit_ratio + else: + log.warning( + "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", + trade_id, + self.path + ) + + r_trade_pairs = {} + if trade_pairs: + for trade_pair, profit_ratio in trade_pairs.items(): + if not isinstance(trade_pair, str): + log.error( + "The trade_pair(%s) defined under 'trade_pairs' in %s is not a string", + trade_pair, self.path + ) + continue + if "/" not in trade_pair: + log.error( + "The trade_pair(%s) defined under 'trade_pairs' in %s does not look like " + "a valid '/' formatted pair.", + trade_pair, self.path + ) + continue + if not isinstance(profit_ratio, float): + log.error( + "The 'profit_ratio' config value(%s) for trade_pair %s in %s is not a float", + profit_ratio, + trade_pair, + self.path + ) + formatted_profit_ratio = f"{profit_ratio * 100}%" + if trade_pair in open_trades: + log.warning( + "The trade %s is configured to HOLD until the profit ratio of %s is met", + open_trades[trade_pair], + formatted_profit_ratio + ) + else: + log.warning( + "The trade pair %s is configured to HOLD until the profit ratio of %s is met", + trade_pair, + formatted_profit_ratio + ) + r_trade_pairs[trade_pair] = profit_ratio + + r_data = {} + if r_trade_ids: + r_data["trade_ids"] = r_trade_ids + if r_trade_pairs: + r_data["trade_pairs"] = r_trade_pairs + return r_data + + @staticmethod + def _object_hook(data): + _data = {} + for key, value in data.items(): + try: + key = int(key) + except ValueError: + pass + _data[key] = value + return _data diff --git a/strategies/NostalgiaForInfinityX2.py b/strategies/NostalgiaForInfinityX2.py new file mode 100755 index 0000000..98b058b --- /dev/null +++ b/strategies/NostalgiaForInfinityX2.py @@ -0,0 +1,8390 @@ +import copy +import logging +import pathlib +import rapidjson +import freqtrade.vendor.qtpylib.indicators as qtpylib +import numpy as np +import talib.abstract as ta +import pandas as pd +import pandas_ta as pta +from freqtrade.strategy.interface import IStrategy +from freqtrade.strategy import merge_informative_pair +from pandas import DataFrame, Series +from functools import reduce, partial +from freqtrade.persistence import Trade, LocalTrade +from datetime import datetime, timedelta +import time +from typing import Optional +import warnings + +log = logging.getLogger(__name__) +#log.setLevel(logging.DEBUG) +warnings.simplefilter(action='ignore', category=pd.errors.PerformanceWarning) + +############################################################################################################# +## NostalgiaForInfinityX2 by iterativ ## +## https://github.com/iterativv/NostalgiaForInfinity ## +## ## +## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ## +## ## +############################################################################################################# +## GENERAL RECOMMENDATIONS ## +## ## +## For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake. ## +## A pairlist with 40 to 80 pairs. Volume pairlist works well. ## +## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ## +## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ## +## Ensure that you don't override any variables in you config.json. Especially ## +## the timeframe (must be 5m). ## +## use_exit_signal must set to true (or not set at all). ## +## exit_profit_only must set to false (or not set at all). ## +## ignore_roi_if_entry_signal must set to true (or not set at all). ## +## ## +############################################################################################################# +## DONATIONS ## +## ## +## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## +## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## +## BEP20/BSC (USDT, ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## +## TRC20/TRON (USDT, TRON, ...): TTAa9MX6zMLXNgWMhg7tkNormVHWCoq8Xk ## +## ## +## REFERRAL LINKS ## +## ## +## Binance: https://accounts.binance.com/en/register?ref=C68K26A9 (20% discount on trading fees) ## +## Kucoin: https://www.kucoin.com/r/af/QBSSS5J2 (20% lifetime discount on trading fees) ## +## Gate.io: https://www.gate.io/signup/8054544 (20% discount on trading fees) ## +## OKX: https://www.okx.com/join/11749725931 (20% discount on trading fees) ## +## ByBit: https://partner.bybit.com/b/nfi ## +## Huobi: https://www.huobi.com/en-us/v/register/double-invite/?inviter_id=11345710&invite_code=ubpt2223 ## +## (20% discount on trading fees) ## +## Bitvavo: https://account.bitvavo.com/create?a=D22103A4BC (no fees for the first € 1000) ## +############################################################################################################# + +class NostalgiaForInfinityX2(IStrategy): + INTERFACE_VERSION = 3 + + def version(self) -> str: + return "v12.0.80" + + # ROI table: + minimal_roi = { + "0": 100.0, + } + + stoploss = -0.99 + + # Trailing stoploss (not used) + trailing_stop = False + trailing_only_offset_is_reached = True + trailing_stop_positive = 0.01 + trailing_stop_positive_offset = 0.03 + + use_custom_stoploss = False + + # Optimal timeframe for the strategy. + timeframe = '5m' + info_timeframes = ['15m','1h','4h','1d'] + + # BTC informatives + btc_info_timeframes = ['5m','15m','1h','4h','1d'] + + # Backtest Age Filter emulation + has_bt_agefilter = False + bt_min_age_days = 3 + + # Exchange Downtime protection + has_downtime_protection = False + + # Do you want to use the hold feature? (with hold-trades.json) + hold_support_enabled = True + + # Run "populate_indicators()" only for new candle. + process_only_new_candles = True + + # These values can be overridden in the "ask_strategy" section in the config. + use_exit_signal = True + exit_profit_only = False + ignore_roi_if_entry_signal = True + + # Number of candles the strategy requires before producing valid signals + startup_candle_count: int = 480 + + # Normal mode bull tags + normal_mode_bull_tags = ['force_entry', '1', '2', '3', '4', '5', '6'] + # Normal mode bear tags + normal_mode_bear_tags = ['11', '12', '13', '14', '15', '16'] + # Pump mode bull tags + pump_mode_bull_tags = ['21', '22'] + # Pump mode bear tags + pump_mode_bear_tags = ['31', '32'] + # Quick mode bull tags + quick_mode_bull_tags = ['41', '42', '43', '44'] + # Quick mode bear tags + quick_mode_bear_tags = ['51', '52', '53', '54'] + # Rebuy mode bull tags + rebuy_mode_bull_tags = ['61'] + # Rebuy mode bear tags + rebuy_mode_bear_tags = ['71'] + # Long mode bull tags + long_mode_bull_tags = ['81', '82'] + # Long mode bear tags + long_mode_bear_tags = ['91', '92'] + + # Stop thesholds. 0: Doom Bull, 1: Doom Bear, 2: u_e Bull, 3: u_e Bear, 4: u_e mins Bull, 5: u_e mins Bear. + # 6: u_e ema % Bull, 7: u_e ema % Bear, 8: u_e RSI diff Bull, 9: u_e RSI diff Bear. + # 10: enable Doom Bull, 11: enable Doom Bear, 12: enable u_e Bull, 13: enable u_e Bear. + stop_thresholds_normal = [-0.2, -0.2, -0.025, -0.025, 720, 720, 0.016, 0.016, 24.0, 24.0, True, True, True, True] + stop_thresholds_pump = [-0.2, -0.2, -0.025, -0.025, 720, 720, 0.016, 0.016, 24.0, 24.0, True, True, True, True] + stop_thresholds_quick = [-0.2, -0.2, -0.025, -0.025, 720, 720, 0.016, 0.016, 24.0, 24.0, True, True, True, True] + stop_thresholds_rebuy = [-0.2, -0.2, -0.025, -0.025, 720, 720, 0.016, 0.016, 24.0, 24.0, True, True, True, True] + stop_thresholds_long = [-0.2, -0.2, -0.025, -0.025, 720, 720, 0.016, 0.016, 24.0, 24.0, True, True, True, True] + + # Rebuy mode minimum number of free slots + rebuy_mode_min_free_slots = 2 + + # Position adjust feature + position_adjustment_enable = True + + stake_rebuy_mode_bull_multiplier = 0.33 + pa_rebuy_mode_bull_max = 2 + pa_rebuy_mode_bull_pcts = (-0.02, -0.04, -0.04) + pa_rebuy_mode_bull_multi = (1.0, 1.0, 1.0) + + stake_rebuy_mode_bear_multiplier = 0.33 + pa_rebuy_mode_bear_max = 2 + pa_rebuy_mode_bear_pcts = (-0.02, -0.04, -0.04) + pa_rebuy_mode_bear_multi = (1.0, 1.0, 1.0) + + ############################################################# + # Buy side configuration + + buy_params = { + # Enable/Disable conditions + # ------------------------------------------------------- + "buy_condition_1_enable": True, + "buy_condition_2_enable": True, + "buy_condition_3_enable": True, + "buy_condition_4_enable": True, + "buy_condition_5_enable": True, + "buy_condition_6_enable": True, + + "buy_condition_11_enable": True, + "buy_condition_12_enable": True, + "buy_condition_13_enable": True, + "buy_condition_14_enable": True, + "buy_condition_15_enable": True, + "buy_condition_16_enable": True, + + "buy_condition_21_enable": True, + "buy_condition_22_enable": True, + + "buy_condition_31_enable": True, + "buy_condition_32_enable": True, + + "buy_condition_41_enable": True, + "buy_condition_42_enable": True, + "buy_condition_43_enable": True, + "buy_condition_44_enable": True, + + "buy_condition_51_enable": True, + "buy_condition_52_enable": True, + "buy_condition_53_enable": True, + "buy_condition_54_enable": True, + + "buy_condition_61_enable": True, + + "buy_condition_71_enable": True, + + "buy_condition_81_enable": True, + "buy_condition_82_enable": True, + + "buy_condition_91_enable": True, + "buy_condition_92_enable": True, + } + + buy_protection_params = {} + + ############################################################# + # CACHES + + hold_trades_cache = None + target_profit_cache = None + ############################################################# + + def __init__(self, config: dict) -> None: + super().__init__(config) + if (('exit_profit_only' in self.config and self.config['exit_profit_only']) + or ('sell_profit_only' in self.config and self.config['sell_profit_only'])): + self.exit_profit_only = True + if ('stop_thresholds_normal' in self.config): + self.stop_thresholds_normal = self.config['stop_thresholds_normal'] + if ('stop_thresholds_pump' in self.config): + self.stop_thresholds_pump = self.config['stop_thresholds_pump'] + if ('stop_thresholds_quick' in self.config): + self.stop_thresholds_quick = self.config['stop_thresholds_quick'] + if ('stop_thresholds_rebuy' in self.config): + self.stop_thresholds_rebuy = self.config['stop_thresholds_rebuy'] + if ('stop_thresholds_long' in self.config): + self.stop_thresholds_long = self.config['stop_thresholds_long'] + if self.target_profit_cache is None: + bot_name = "" + if ('bot_name' in self.config): + bot_name = self.config["bot_name"] + "-" + self.target_profit_cache = Cache( + self.config["user_data_dir"] / ("nfix2-profit_max-" + bot_name + self.config["exchange"]["name"] + "-" + self.config["stake_currency"] + ("-(backtest)" if (self.config['runmode'].value == 'backtest') else "") + ".json") + ) + + # If the cached data hasn't changed, it's a no-op + self.target_profit_cache.save() + + def get_ticker_indicator(self): + return int(self.timeframe[:-1]) + + def exit_normal_bull(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_normal_bull_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_normal_bull_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_normal_bull_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_normal_bull_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.normal_bull_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_normal_bull_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.normal_bull_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.normal_bull_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_normal_bull_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_normal_bull_max", "exit_normal_bull_stoploss_doom", "exit_normal_bull_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def normal_bull_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def normal_bull_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_normal_bull_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_normal_bull_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_normal_bull_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel it + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_normal_bull_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bull_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bull_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bull_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bull_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 85.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bull_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bull_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_1h'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bull_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bull_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 79.0): + if (current_profit > 0.01): + return True, 'exit_normal_bull_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bull_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bull_7_2_1' + + # Sell signal 8 + elif (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bull_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bull_8_2_1' + + return False, None + + def exit_normal_bull_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 20.0): + return True, 'exit_normal_bull_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 28.0): + return True, 'exit_normal_bull_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_normal_bull_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_normal_bull_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_normal_bull_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_normal_bull_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_normal_bull_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_normal_bull_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_normal_bull_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_normal_bull_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_normal_bull_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_normal_bull_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_normal_bull_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_normal_bull_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_normal_bull_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_normal_bull_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_normal_bull_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_normal_bull_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_normal_bull_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_normal_bull_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_normal_bull_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_normal_bull_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_normal_bull_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_normal_bull_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_normal_bull_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_normal_bull_u_12' + + return False, None + + def exit_normal_bull_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_normal_bull_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_normal_bull_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_normal_bull_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_normal_bull_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_normal_bull_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_normal_bull_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_normal_bull_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_normal_bull_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_normal_bull_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_normal_bull_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_normal_bull_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_normal_bull_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bull_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_normal_bull_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_normal_bull_w_12_2' + + return False, None + + def exit_normal_bull_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + is_backtest = self.dp.runmode.value == 'backtest' + # Stoploss doom + if ( + (self.stop_thresholds_normal[10]) + and (current_profit < self.stop_thresholds_normal[0]) + ): + return True, 'exit_normal_bull_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_normal[12]) + and (current_profit < self.stop_thresholds_normal[2]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_normal[6]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_normal[8])) + and (current_time - timedelta(minutes=self.stop_thresholds_normal[4]) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 12, 25) or is_backtest) + ): + return True, 'exit_normal_bull_stoploss_u_e' + + return False, None + + def exit_normal_bear(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_normal_bear_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_normal_bear_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_normal_bear_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_normal_bear_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.normal_bear_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_normal_bear_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.normal_bear_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.normal_bear_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_normal_bear_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_normal_bear_max", "exit_normal_bear_stoploss_doom", "exit_normal_bear_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def normal_bear_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def normal_bear_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_normal_bear_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_normal_bear_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_normal_bear_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel it + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_normal_bear_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bear_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bear_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bear_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bear_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 84.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bear_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bear_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_1h'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bear_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bear_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 78.5): + if (current_profit > 0.01): + return True, 'exit_normal_bear_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bear_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bear_7_2_1' + + # Sell signal 8 + elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.07) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_normal_bear_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_normal_bear_8_2_1' + + return False, None + + def exit_normal_bear_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_normal_bear_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_normal_bear_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_normal_bear_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_normal_bear_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_normal_bear_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_normal_bear_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_normal_bear_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_normal_bear_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_normal_bear_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_normal_bear_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_normal_bear_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_normal_bear_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_normal_bear_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 24.0): + return True, 'exit_normal_bear_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_normal_bear_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_normal_bear_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_normal_bear_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_normal_bear_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_normal_bear_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_normal_bear_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_normal_bear_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_normal_bear_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_normal_bear_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 50.0): + return True, 'exit_normal_bear_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_normal_bear_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_normal_bear_u_12' + + return False, None + + def exit_normal_bear_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_normal_bear_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_normal_bear_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_normal_bear_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_normal_bear_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_normal_bear_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_normal_bear_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_normal_bear_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_normal_bear_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_normal_bear_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_normal_bear_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_normal_bear_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_normal_bear_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_normal_bear_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_normal_bear_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_normal_bear_w_12_2' + + return False, None + + def exit_normal_bear_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + is_backtest = self.dp.runmode.value == 'backtest' + # Stoploss doom + if ( + (self.stop_thresholds_normal[11]) + and (current_profit < self.stop_thresholds_normal[1]) + ): + return True, 'exit_normal_bear_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_normal[13]) + and (current_profit < self.stop_thresholds_normal[3]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_normal[7]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_normal[9])) + and (current_time - timedelta(minutes=self.stop_thresholds_normal[5]) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 12, 25) or is_backtest) + ): + return True, 'exit_normal_bear_stoploss_u_e' + + return False, None + + def exit_pump_bull(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_pump_bull_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_pump_bull_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_pump_bull_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_pump_bull_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.pump_bull_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_pump_bull_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.pump_bull_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.pump_bull_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_pump_bull_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_pump_bull_max", "exit_pump_bull_stoploss_doom"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def pump_bull_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def pump_bull_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_pump_bull_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_pump_bull_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_pump_bull_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_pump_bull_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bull_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bull_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bull_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bull_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 85.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bull_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bull_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_1h'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bull_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bull_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 79.0): + if (current_profit > 0.01): + return True, 'exit_pump_bull_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bull_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bull_7_2_1' + + # Sell signal 8 + elif (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bull_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bull_8_2_1' + + return False, None + + def exit_pump_bull_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 20.0): + return True, 'exit_pump_bull_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 28.0): + return True, 'exit_pump_bull_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_pump_bull_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_pump_bull_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_pump_bull_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_pump_bull_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_pump_bull_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_pump_bull_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_pump_bull_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_pump_bull_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_pump_bull_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_pump_bull_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_pump_bull_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_pump_bull_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_pump_bull_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_pump_bull_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_pump_bull_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_pump_bull_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_pump_bull_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_pump_bull_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_pump_bull_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_pump_bull_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_pump_bull_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_pump_bull_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_pump_bull_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_pump_bull_u_12' + + return False, None + + def exit_pump_bull_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_pump_bull_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_pump_bull_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_pump_bull_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_pump_bull_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_pump_bull_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_pump_bull_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_pump_bull_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_pump_bull_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_pump_bull_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_pump_bull_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_pump_bull_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_pump_bull_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bull_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_pump_bull_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_pump_bull_w_12_2' + + return False, None + + def exit_pump_bull_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + is_backtest = self.dp.runmode.value == 'backtest' + # Stoploss doom + if ( + (self.stop_thresholds_pump[10]) + and (current_profit < self.stop_thresholds_pump[0]) + ): + return True, 'exit_pump_bull_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_pump[12]) + and (current_profit < self.stop_thresholds_pump[2]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_pump[6]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_pump[8])) + and (current_time - timedelta(minutes=self.stop_thresholds_pump[4]) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 12, 25) or is_backtest) + ): + return True, 'exit_pump_bull_stoploss_u_e' + + return False, None + + def exit_pump_bear(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_pump_bear_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_pump_bear_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_pump_bear_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_pump_bear_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.pump_bear_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_pump_bear_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.pump_bear_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.pump_bear_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_pump_bear_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_pump_bear_max", "exit_pump_bear_stoploss_doom"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def pump_bear_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def pump_bear_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_pump_bear_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_pump_bear_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_pump_bear_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_pump_bear_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bear_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bear_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bear_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bear_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 84.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bear_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bear_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_1h'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bear_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bear_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 78.5): + if (current_profit > 0.01): + return True, 'exit_pump_bear_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bear_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bear_7_2_1' + + # Sell signal 8 + elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.07) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_pump_bear_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_pump_bear_8_2_1' + + return False, None + + def exit_pump_bear_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_pump_bear_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_pump_bear_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_pump_bear_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_pump_bear_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_pump_bear_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_pump_bear_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_pump_bear_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_pump_bear_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_pump_bear_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_pump_bear_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_pump_bear_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_pump_bear_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_pump_bear_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 24.0): + return True, 'exit_pump_bear_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_pump_bear_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_pump_bear_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_pump_bear_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_pump_bear_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_pump_bear_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_pump_bear_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_pump_bear_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_pump_bear_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_pump_bear_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 50.0): + return True, 'exit_pump_bear_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_pump_bear_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_pump_bear_u_12' + + return False, None + + def exit_pump_bear_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_pump_bear_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_pump_bear_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_pump_bear_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_pump_bear_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_pump_bear_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_pump_bear_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_pump_bear_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_pump_bear_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_pump_bear_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_pump_bear_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_pump_bear_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_pump_bear_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_pump_bear_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_pump_bear_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_pump_bear_w_12_2' + + return False, None + + def exit_pump_bear_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + is_backtest = self.dp.runmode.value == 'backtest' + # Stoploss doom + if ( + (self.stop_thresholds_pump[11]) + and (current_profit < self.stop_thresholds_pump[1]) + ): + return True, 'exit_pump_bear_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_pump[13]) + and (current_profit < self.stop_thresholds_pump[3]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_pump[7]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_pump[9])) + and (current_time - timedelta(minutes=self.stop_thresholds_pump[5]) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 12, 25) or is_backtest) + ): + return True, 'exit_pump_bear_stoploss_u_e' + + return False, None + + def exit_quick_bull(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_quick_bull_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_quick_bull_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_quick_bull_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_quick_bull_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Extra sell logic + if not sell: + if (0.09 >= current_profit > 0.02) and (last_candle['rsi_14'] > 78.0): + sell, signal_name = True, 'exit_quick_bull_q_1' + + if (0.09 >= current_profit > 0.02) and (last_candle['cti_20'] > 0.95): + sell, signal_name = True, 'exit_quick_bull_q_2' + + if (0.09 >= current_profit > 0.02) and (last_candle['r_14'] >= -0.1): + sell, signal_name = True, 'exit_quick_bull_q_3' + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.quick_bull_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_quick_bull_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.quick_bull_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.quick_bull_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_quick_bull_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_quick_bull_max", "exit_quick_bull_stoploss_doom", "exit_quick_bull_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def quick_bull_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def quick_bull_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_quick_bull_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_quick_bull_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_quick_bull_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_quick_bull_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bull_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bull_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bull_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bull_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 85.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bull_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bull_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_1h'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bull_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bull_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 79.0): + if (current_profit > 0.01): + return True, 'exit_quick_bull_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bull_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bull_7_2_1' + + # Sell signal 8 + elif (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bull_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bull_8_2_1' + + return False, None + + def exit_quick_bull_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 20.0): + return True, 'exit_quick_bull_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 28.0): + return True, 'exit_quick_bull_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_quick_bull_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_quick_bull_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_quick_bull_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_quick_bull_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_quick_bull_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_quick_bull_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_quick_bull_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_quick_bull_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_quick_bull_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_quick_bull_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_quick_bull_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_quick_bull_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_quick_bull_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_quick_bull_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_quick_bull_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_quick_bull_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_quick_bull_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_quick_bull_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_quick_bull_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_quick_bull_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_quick_bull_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_quick_bull_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_quick_bull_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_quick_bull_u_12' + + return False, None + + def exit_quick_bull_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_quick_bull_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_quick_bull_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_quick_bull_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_quick_bull_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_quick_bull_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_quick_bull_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_quick_bull_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_quick_bull_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_quick_bull_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_quick_bull_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_quick_bull_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_quick_bull_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bull_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_quick_bull_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_quick_bull_w_12_2' + + return False, None + + def exit_quick_bull_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + is_backtest = self.dp.runmode.value == 'backtest' + # Stoploss doom + if ( + (self.stop_thresholds_quick[10]) + and (current_profit < self.stop_thresholds_quick[0]) + ): + return True, 'exit_quick_bull_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_quick[12]) + and (current_profit < self.stop_thresholds_quick[2]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_quick[6]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_quick[8])) + and (current_time - timedelta(minutes=self.stop_thresholds_quick[4]) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 12, 25) or is_backtest) + ): + return True, 'exit_quick_bull_stoploss_u_e' + + return False, None + + def exit_quick_bear(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_quick_bear_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_quick_bear_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_quick_bear_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_quick_bear_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Extra sell logic + if not sell: + if (0.09 >= current_profit > 0.02) and (last_candle['rsi_14'] > 78.0): + sell, signal_name = True, 'exit_quick_bear_q_1' + + if (0.09 >= current_profit > 0.02) and (last_candle['cti_20'] > 0.95): + sell, signal_name = True, 'exit_quick_bear_q_2' + + if (0.09 >= current_profit > 0.02) and (last_candle['r_14'] >= -0.1): + sell, signal_name = True, 'exit_quick_bear_q_3' + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.quick_bear_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_quick_bear_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.quick_bear_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.quick_bear_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_quick_bear_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_quick_bear_max", "exit_quick_bear_stoploss_doom", "exit_quick_bear_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def quick_bear_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def quick_bear_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_quick_bear_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_quick_bear_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_quick_bear_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_quick_bear_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bear_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bear_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bear_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bear_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 84.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bear_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bear_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_1h'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bear_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bear_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 78.5): + if (current_profit > 0.01): + return True, 'exit_quick_bear_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bear_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bear_7_2_1' + + # Sell signal 8 + elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.07) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_quick_bear_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_quick_bear_8_2_1' + + return False, None + + def exit_quick_bear_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_quick_bear_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_quick_bear_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_quick_bear_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_quick_bear_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_quick_bear_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_quick_bear_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_quick_bear_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_quick_bear_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_quick_bear_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_quick_bear_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_quick_bear_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_quick_bear_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_quick_bear_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 24.0): + return True, 'exit_quick_bear_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_quick_bear_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_quick_bear_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_quick_bear_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_quick_bear_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_quick_bear_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_quick_bear_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_quick_bear_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_quick_bear_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_quick_bear_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 50.0): + return True, 'exit_quick_bear_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_quick_bear_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_quick_bear_u_12' + + return False, None + + def exit_quick_bear_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_quick_bear_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_quick_bear_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_quick_bear_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_quick_bear_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_quick_bear_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_quick_bear_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_quick_bear_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_quick_bear_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_quick_bear_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_quick_bear_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_quick_bear_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_quick_bear_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_quick_bear_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_quick_bear_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_quick_bear_w_12_2' + + return False, None + + def exit_quick_bear_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + is_backtest = self.dp.runmode.value == 'backtest' + # Stoploss doom + if ( + (self.stop_thresholds_quick[11]) + and (current_profit < self.stop_thresholds_quick[1]) + ): + return True, 'exit_quick_bear_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_quick[13]) + and (current_profit < self.stop_thresholds_quick[3]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_quick[7]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_quick[9])) + and (current_time - timedelta(minutes=self.stop_thresholds_quick[5]) > trade.open_date_utc) + # temporary + and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2022, 12, 25) or is_backtest) + ): + return True, 'exit_quick_bear_stoploss_u_e' + + return False, None + + def exit_rebuy_bull(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_rebuy_bull_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_rebuy_bull_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_rebuy_bull_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_rebuy_bull_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.rebuy_bull_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_rebuy_bull_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.rebuy_bull_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.rebuy_bull_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_rebuy_bull_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_rebuy_bull_max", "exit_rebuy_bull_stoploss_doom", "exit_rebuy_bull_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def rebuy_bull_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def rebuy_bull_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_rebuy_bull_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_rebuy_bull_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_rebuy_bull_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_rebuy_bull_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 85.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_1h'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 79.0): + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_7_2_1' + + # Sell signal 8 + elif (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bull_8_2_1' + + return False, None + + def exit_rebuy_bull_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 20.0): + return True, 'exit_rebuy_bull_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 28.0): + return True, 'exit_rebuy_bull_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_rebuy_bull_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_rebuy_bull_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_rebuy_bull_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_rebuy_bull_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_rebuy_bull_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_rebuy_bull_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_rebuy_bull_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_rebuy_bull_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_rebuy_bull_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_rebuy_bull_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_rebuy_bull_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_rebuy_bull_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_rebuy_bull_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_rebuy_bull_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_rebuy_bull_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_rebuy_bull_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_rebuy_bull_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_rebuy_bull_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_rebuy_bull_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_rebuy_bull_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_rebuy_bull_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_rebuy_bull_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_rebuy_bull_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_rebuy_bull_u_12' + + return False, None + + def exit_rebuy_bull_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_rebuy_bull_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_rebuy_bull_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_rebuy_bull_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_rebuy_bull_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_rebuy_bull_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_rebuy_bull_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_rebuy_bull_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_rebuy_bull_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_rebuy_bull_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_rebuy_bull_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_rebuy_bull_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_rebuy_bull_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bull_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_rebuy_bull_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_rebuy_bull_w_12_2' + + return False, None + + def exit_rebuy_bull_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Stoploss doom + if ( + (self.stop_thresholds_rebuy[10]) + and (current_profit < self.stop_thresholds_rebuy[0]) + ): + return True, 'exit_rebuy_bull_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_rebuy[12]) + and (current_profit < self.stop_thresholds_rebuy[2]) + and (last_candle['close'] < last_candle['ema_200']) + #and (last_candle['cmf_20'] < -0.0) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_rebuy[6]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_rebuy[8])) + and (current_time - timedelta(minutes=self.stop_thresholds_rebuy[4]) > trade.open_date_utc) + ): + return True, 'exit_rebuy_bull_stoploss_u_e' + + return False, None + + def exit_rebuy_bear(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_rebuy_bear_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_rebuy_bear_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_rebuy_bear_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_rebuy_bear_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.rebuy_bear_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_rebuy_bear_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.rebuy_bear_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.rebuy_bear_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.01) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_rebuy_bear_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_rebuy_bear_max", "exit_rebuy_bear_stoploss_doom", "exit_rebuy_bear_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def rebuy_bear_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def rebuy_bear_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_rebuy_bear_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_rebuy_bear_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_rebuy_bear_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_rebuy_bear_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 84.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_1h'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 78.5): + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_7_2_1' + + # Sell signal 8 + elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.07) and (last_candle['rsi_14_4h'] > 75.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_rebuy_bear_8_2_1' + + return False, None + + def exit_rebuy_bear_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 22.0): + return True, 'exit_rebuy_bear_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_rebuy_bear_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_rebuy_bear_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_rebuy_bear_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_rebuy_bear_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_rebuy_bear_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_rebuy_bear_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_rebuy_bear_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_rebuy_bear_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_rebuy_bear_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_rebuy_bear_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_rebuy_bear_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_rebuy_bear_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 24.0): + return True, 'exit_rebuy_bear_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_rebuy_bear_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_rebuy_bear_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_rebuy_bear_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_rebuy_bear_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_rebuy_bear_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_rebuy_bear_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_rebuy_bear_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_rebuy_bear_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_rebuy_bear_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 50.0): + return True, 'exit_rebuy_bear_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_rebuy_bear_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_rebuy_bear_u_12' + + return False, None + + def exit_rebuy_bear_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_rebuy_bear_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_rebuy_bear_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_rebuy_bear_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_rebuy_bear_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_rebuy_bear_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_rebuy_bear_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_rebuy_bear_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_rebuy_bear_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_rebuy_bear_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_rebuy_bear_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_rebuy_bear_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_rebuy_bear_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_rebuy_bear_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_rebuy_bear_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_rebuy_bear_w_12_2' + + return False, None + + def exit_rebuy_bear_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Stoploss doom + if ( + (self.stop_thresholds_rebuy[11]) + and (current_profit < self.stop_thresholds_rebuy[1]) + ): + return True, 'exit_rebuy_bear_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_rebuy[13]) + and (current_profit < self.stop_thresholds_rebuy[3]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_rebuy[7]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_rebuy[9])) + and (current_time - timedelta(minutes=self.stop_thresholds_rebuy[5]) > trade.open_date_utc) + ): + return True, 'exit_rebuy_bear_stoploss_u_e' + + return False, None + + def exit_long_bull(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_long_bull_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_long_bull_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_long_bull_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_long_bull_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.long_bull_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_long_bull_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.long_bull_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.long_bull_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.05) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_long_bull_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_long_bull_max", "exit_long_bull_stoploss_doom", "exit_long_bull_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def long_bull_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def long_bull_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_long_bull_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_long_bull_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_long_bull_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel it + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_long_bull_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_4h'] > 50.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bull_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bull_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 50.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bull_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bull_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 81.0) and (last_candle['rsi_14_4h'] > 50.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bull_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bull_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_1h'] > 80.0) and (last_candle['rsi_14_4h'] > 50.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bull_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bull_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 79.0): + if (current_profit > 0.01): + return True, 'exit_long_bull_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bull_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bull_7_2_1' + + # Sell signal 8 + elif (last_candle['rsi_14_4h'] > 50.0) and (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bull_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bull_8_2_1' + + return False, None + + def exit_long_bull_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 10.0): + return True, 'exit_long_bull_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 28.0): + return True, 'exit_long_bull_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_long_bull_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_long_bull_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_long_bull_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_long_bull_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_long_bull_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_long_bull_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_long_bull_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_long_bull_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_long_bull_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_long_bull_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_long_bull_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 12.0): + return True, 'exit_long_bull_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_long_bull_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_long_bull_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_long_bull_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_long_bull_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_long_bull_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_long_bull_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_long_bull_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_long_bull_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_long_bull_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_long_bull_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_long_bull_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_long_bull_u_12' + + return False, None + + def exit_long_bull_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_long_bull_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_long_bull_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_long_bull_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_long_bull_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_long_bull_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_long_bull_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_long_bull_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_long_bull_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_long_bull_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_long_bull_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_long_bull_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_long_bull_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bull_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_long_bull_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_long_bull_w_12_2' + + return False, None + + def exit_long_bull_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Stoploss doom + if ( + (self.stop_thresholds_long[10]) + and (current_profit < self.stop_thresholds_long[0]) + ): + return True, 'exit_long_bull_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_long[12]) + and (current_profit < self.stop_thresholds_long[2]) + and (last_candle['close'] < last_candle['ema_200']) + #and (last_candle['cmf_20'] < -0.0) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_long[6]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_long[8])) + and (current_time - timedelta(minutes=self.stop_thresholds_long[4]) > trade.open_date_utc) + ): + return True, 'exit_long_bull_stoploss_u_e' + + return False, None + + def exit_long_bear(self, pair: str, current_rate: float, current_profit: float, + max_profit: float, max_loss: float, + last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, + trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple: + sell = False + + # Original sell signals + sell, signal_name = self.exit_long_bear_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Main sell signals + if not sell: + sell, signal_name = self.exit_long_bear_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Williams %R based sells + if not sell: + sell, signal_name = self.exit_long_bear_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Stoplosses + if not sell: + sell, signal_name = self.exit_long_bear_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + + # Profit Target Signal + # Check if pair exist on target_profit_cache + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_rate = self.target_profit_cache.data[pair]['rate'] + previous_profit = self.target_profit_cache.data[pair]['profit'] + previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason'] + previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached']) + + sell_max, signal_name_max = self.long_bear_exit_profit_target(pair, trade, current_time, current_rate, current_profit, + last_candle, previous_candle_1, + previous_rate, previous_profit, previous_sell_reason, + previous_time_profit_reached, enter_tags) + if sell_max and signal_name_max is not None: + return True, f"{signal_name_max}_m" + if (current_profit > (previous_profit + 0.005)) and (previous_sell_reason not in ["exit_long_bear_stoploss_doom"]): + # Update the target, raise it. + mark_pair, mark_signal = self.long_bear_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + # Add the pair to the list, if a sell triggered and conditions met + if sell and signal_name is not None: + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if ( + (previous_profit is None) + or (previous_profit < current_profit) + ): + mark_pair, mark_signal = self.long_bear_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1) + if mark_pair: + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + else: + # Just sell it, without maximize + return True, f"{signal_name}" + else: + if ( + (current_profit >= 0.05) + ): + previous_profit = None + if self.target_profit_cache is not None and pair in self.target_profit_cache.data: + previous_profit = self.target_profit_cache.data[pair]['profit'] + if (previous_profit is None) or (previous_profit < current_profit): + mark_signal = "exit_profit_long_bear_max" + self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time) + + if (signal_name not in ["exit_profit_long_bear_max", "exit_long_bear_stoploss_doom", "exit_long_bear_stoploss_u_e"]): + if sell and (signal_name is not None): + return True, f"{signal_name}" + + return False, None + + def long_bear_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple: + if sell and (signal_name is not None): + return pair, signal_name + + return None, None + + def long_bear_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple: + if (previous_sell_reason in ["exit_long_bear_stoploss_doom"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < -0.18): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.1): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (current_profit < -0.04): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + else: + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_long_bear_stoploss_u_e"]): + if (current_profit > 0.04): + # profit is over the threshold, don't exit + self._remove_profit_target(pair) + return False, None + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (previous_sell_reason in ["exit_profit_long_bear_max"]): + if (current_profit < -0.08): + # profit is under the threshold, cancel it + self._remove_profit_target(pair) + return False, None + if (0.001 <= current_profit < 0.01): + if (current_profit < (previous_profit - 0.01)): + return True, previous_sell_reason + elif (0.01 <= current_profit < 0.02): + if (current_profit < (previous_profit - 0.02)): + return True, previous_sell_reason + elif (0.02 <= current_profit < 0.03): + if (current_profit < (previous_profit - 0.03)): + return True, previous_sell_reason + elif (0.03 <= current_profit < 0.05): + if (current_profit < (previous_profit - 0.04)): + return True, previous_sell_reason + elif (0.05 <= current_profit < 0.08): + if (current_profit < (previous_profit - 0.05)): + return True, previous_sell_reason + elif (0.08 <= current_profit < 0.12): + if (current_profit < (previous_profit - 0.06)): + return True, previous_sell_reason + elif (0.12 <= current_profit): + if (current_profit < (previous_profit - 0.07)): + return True, previous_sell_reason + else: + return False, None + + return False, None + + def exit_long_bear_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Sell signal 1 + if (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_4h'] > 50.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bear_1_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bear_1_2_1' + + # Sell signal 2 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 50.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bear_2_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bear_2_2_1' + + # Sell signal 3 + elif (last_candle['rsi_14'] > 81.0) and (last_candle['rsi_14_4h'] > 50.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bear_3_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bear_3_2_1' + + # Sell signal 4 + elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_1h'] > 79.0) and (last_candle['rsi_14_4h'] > 50.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bear_4_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bear_4_2_1' + + # Sell signal 6 + elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 78.5): + if (current_profit > 0.01): + return True, 'exit_long_bear_6_1' + + # Sell signal 7 + elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bear_7_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bear_7_2_1' + + # Sell signal 8 + elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.07) and (last_candle['rsi_14_4h'] > 50.0): + if (last_candle['close'] > last_candle['ema_200']): + if (current_profit > 0.01): + return True, 'exit_long_bear_8_1_1' + else: + if (current_profit > 0.01): + return True, 'exit_long_bear_8_2_1' + + return False, None + + def exit_long_bear_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if (last_candle['close'] > last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 12.0): + return True, 'exit_long_bear_o_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 30.0): + return True, 'exit_long_bear_o_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_long_bear_o_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_long_bear_o_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_long_bear_o_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_long_bear_o_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_long_bear_o_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_long_bear_o_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_long_bear_o_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_long_bear_o_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_long_bear_o_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_long_bear_o_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_long_bear_o_12' + elif (last_candle['close'] < last_candle['sma_200_1h']): + if 0.01 > current_profit >= 0.001: + if (last_candle['rsi_14'] < 14.0): + return True, 'exit_long_bear_u_0' + elif 0.02 > current_profit >= 0.01: + if (last_candle['rsi_14'] < 32.0): + return True, 'exit_long_bear_u_1' + elif 0.03 > current_profit >= 0.02: + if (last_candle['rsi_14'] < 34.0): + return True, 'exit_long_bear_u_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['rsi_14'] < 36.0): + return True, 'exit_long_bear_u_3' + elif 0.05 > current_profit >= 0.04: + if (last_candle['rsi_14'] < 38.0): + return True, 'exit_long_bear_u_4' + elif 0.06 > current_profit >= 0.05: + if (last_candle['rsi_14'] < 40.0): + return True, 'exit_long_bear_u_5' + elif 0.07 > current_profit >= 0.06: + if (last_candle['rsi_14'] < 42.0): + return True, 'exit_long_bear_u_6' + elif 0.08 > current_profit >= 0.07: + if (last_candle['rsi_14'] < 44.0): + return True, 'exit_long_bear_u_7' + elif 0.09 > current_profit >= 0.08: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_long_bear_u_8' + elif 0.1 > current_profit >= 0.09: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_long_bear_u_9' + elif 0.12 > current_profit >= 0.1: + if (last_candle['rsi_14'] < 50.0): + return True, 'exit_long_bear_u_10' + elif 0.2 > current_profit >= 0.12: + if (last_candle['rsi_14'] < 48.0): + return True, 'exit_long_bear_u_11' + elif current_profit >= 0.2: + if (last_candle['rsi_14'] < 46.0): + return True, 'exit_long_bear_u_12' + + return False, None + + def exit_long_bear_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + if 0.01 > current_profit >= 0.001: + if (last_candle['r_480'] > -0.1): + return True, 'exit_long_bear_w_0_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_0_2' + elif 0.02 > current_profit >= 0.01: + if (last_candle['r_480'] > -0.2): + return True, 'exit_long_bear_w_1_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_1_2' + elif 0.03 > current_profit >= 0.02: + if (last_candle['r_480'] > -0.3): + return True, 'exit_long_bear_w_2_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_2_2' + elif 0.04 > current_profit >= 0.03: + if (last_candle['r_480'] > -0.4): + return True, 'exit_long_bear_w_3_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_3_2' + elif 0.05 > current_profit >= 0.04: + if (last_candle['r_480'] > -0.5): + return True, 'exit_long_bear_w_4_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_4_2' + elif 0.06 > current_profit >= 0.05: + if (last_candle['r_480'] > -0.6): + return True, 'exit_long_bear_w_5_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_5_2' + elif 0.07 > current_profit >= 0.06: + if (last_candle['r_480'] > -0.7): + return True, 'exit_long_bear_w_6_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_6_2' + elif 0.08 > current_profit >= 0.07: + if (last_candle['r_480'] > -0.8): + return True, 'exit_long_bear_w_7_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_7_2' + elif 0.09 > current_profit >= 0.08: + if (last_candle['r_480'] > -0.9): + return True, 'exit_long_bear_w_8_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_8_2' + elif 0.1 > current_profit >= 0.09: + if (last_candle['r_480'] > -1.0): + return True, 'exit_long_bear_w_9_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_9_2' + elif 0.12 > current_profit >= 0.1: + if (last_candle['r_480'] > -1.1): + return True, 'exit_long_bear_w_10_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_10_2' + elif 0.2 > current_profit >= 0.12: + if (last_candle['r_480'] > -0.4): + return True, 'exit_long_bear_w_11_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): + return True, 'exit_long_bear_w_11_2' + elif current_profit >= 0.2: + if (last_candle['r_480'] > -0.2): + return True, 'exit_long_bear_w_12_1' + elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): + return True, 'exit_long_bear_w_12_2' + + return False, None + + def exit_long_bear_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple: + # Stoploss doom + if ( + (self.stop_thresholds_long[11]) + and (current_profit < self.stop_thresholds_long[1]) + ): + return True, 'exit_long_bear_stoploss_doom' + + # Under & near EMA200, local uptrend move + if ( + (self.stop_thresholds_long[13]) + and (current_profit < self.stop_thresholds_long[3]) + and (last_candle['close'] < last_candle['ema_200']) + and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.stop_thresholds_long[7]) + and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) + and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + self.stop_thresholds_long[9])) + and (current_time - timedelta(minutes=self.stop_thresholds_long[5]) > trade.open_date_utc) + ): + return True, 'exit_long_bear_stoploss_u_e' + + return False, None + + def custom_exit(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, + current_profit: float, **kwargs): + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + last_candle = dataframe.iloc[-1].squeeze() + previous_candle_1 = dataframe.iloc[-2].squeeze() + previous_candle_2 = dataframe.iloc[-3].squeeze() + previous_candle_3 = dataframe.iloc[-4].squeeze() + previous_candle_4 = dataframe.iloc[-5].squeeze() + previous_candle_5 = dataframe.iloc[-6].squeeze() + + enter_tag = 'empty' + if hasattr(trade, 'enter_tag') and trade.enter_tag is not None: + enter_tag = trade.enter_tag + enter_tags = enter_tag.split() + + profit = current_profit + + max_profit = ((trade.max_rate - trade.open_rate) / trade.open_rate) + max_loss = ((trade.open_rate - trade.min_rate) / trade.min_rate) + + if hasattr(trade, 'select_filled_orders'): + filled_entries = trade.select_filled_orders('enter_long') + count_of_entries = len(filled_entries) + if count_of_entries > 1: + initial_entry = filled_entries[0] + if (initial_entry is not None and initial_entry.average is not None): + max_profit = ((trade.max_rate - initial_entry.average) / initial_entry.average) + max_loss = ((initial_entry.average - trade.min_rate) / trade.min_rate) + + # Normal mode, bull + if any(c in self.normal_mode_bull_tags for c in enter_tags): + sell, signal_name = self.exit_normal_bull(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Normal mode, bear + if any(c in self.normal_mode_bear_tags for c in enter_tags): + sell, signal_name = self.exit_normal_bear(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Pump mpde, bull + if any(c in self.pump_mode_bull_tags for c in enter_tags): + sell, signal_name = self.exit_pump_bull(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Pump mode, bear + if any(c in self.pump_mode_bear_tags for c in enter_tags): + sell, signal_name = self.exit_pump_bear(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Quick mode, bull + if any(c in self.quick_mode_bull_tags for c in enter_tags): + sell, signal_name = self.exit_quick_bull(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Quick mode, bear + if any(c in self.quick_mode_bear_tags for c in enter_tags): + sell, signal_name = self.exit_quick_bear(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Rebuy mode, bull + if all(c in self.rebuy_mode_bull_tags for c in enter_tags): + sell, signal_name = self.exit_rebuy_bull(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Rebuy mode, bear + if all(c in self.rebuy_mode_bear_tags for c in enter_tags): + sell, signal_name = self.exit_rebuy_bear(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Long mode, bull + if any(c in self.long_mode_bull_tags for c in enter_tags): + sell, signal_name = self.exit_long_bull(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + # Long mode, bear + if any(c in self.long_mode_bear_tags for c in enter_tags): + sell, signal_name = self.exit_long_bear(pair, current_rate, profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags) + if sell and (signal_name is not None): + return f"{signal_name} ( {enter_tag})" + + return None + + def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float, + proposed_stake: float, min_stake: Optional[float], max_stake: float, + leverage: float, entry_tag: Optional[str], side: str, + **kwargs) -> float: + if (self.position_adjustment_enable == True): + enter_tags = entry_tag.split() + if all(c in self.rebuy_mode_bull_tags for c in enter_tags): + return proposed_stake * self.stake_rebuy_mode_bull_multiplier + # Rebuy mode, bear + if all(c in self.rebuy_mode_bear_tags for c in enter_tags): + return proposed_stake * self.stake_rebuy_mode_bear_multiplier + + return proposed_stake + + def adjust_trade_position(self, trade: Trade, current_time: datetime, + current_rate: float, current_profit: float, + min_stake: Optional[float], max_stake: float, + current_entry_rate: float, current_exit_rate: float, + current_entry_profit: float, current_exit_profit: float, + **kwargs) -> Optional[float]: + if (self.position_adjustment_enable == False): + return None + + enter_tag = 'empty' + if hasattr(trade, 'enter_tag') and trade.enter_tag is not None: + enter_tag = trade.enter_tag + enter_tags = enter_tag.split() + + # Rebuy mode, bull + if all(c in self.rebuy_mode_bull_tags for c in enter_tags): + return self.rebuy_bull_adjust_trade_position(trade, current_time, + current_rate, current_profit, + min_stake, max_stake, + current_entry_rate, current_exit_rate, + current_entry_profit, current_exit_profit + ) + + # Rebuy mode, bear + if all(c in self.rebuy_mode_bear_tags for c in enter_tags): + return self.rebuy_bear_adjust_trade_position(trade, current_time, + current_rate, current_profit, + min_stake, max_stake, + current_entry_rate, current_exit_rate, + current_entry_profit, current_exit_profit + ) + + return None + + def rebuy_bull_adjust_trade_position(self, trade: Trade, current_time: datetime, + current_rate: float, current_profit: float, + min_stake: Optional[float], max_stake: float, + current_entry_rate: float, current_exit_rate: float, + current_entry_profit: float, current_exit_profit: float, + **kwargs) -> Optional[float]: + dataframe, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) + if(len(dataframe) < 2): + return None + last_candle = dataframe.iloc[-1].squeeze() + previous_candle = dataframe.iloc[-2].squeeze() + + filled_orders = trade.select_filled_orders() + filled_entries = trade.select_filled_orders(trade.entry_side) + filled_exits = trade.select_filled_orders(trade.exit_side) + count_of_entries = trade.nr_of_successful_entries + count_of_exits = trade.nr_of_successful_exits + + if (count_of_entries == 0): + return None + + is_rebuy = False + + if (0 < count_of_entries <= self.pa_rebuy_mode_bull_max): + if ( + (current_profit < self.pa_rebuy_mode_bull_pcts[count_of_entries - 1]) + and ( + (last_candle['rsi_3'] > 10.0) + and (last_candle['rsi_14'] < 40.0) + and (last_candle['rsi_3_1h'] > 10.0) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.1)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.03) + ) + ): + is_rebuy = True + + if is_rebuy: + # This returns first order stake size + stake_amount = filled_entries[0].cost + print('rebuying..') + stake_amount = stake_amount * self.pa_rebuy_mode_bull_multi[count_of_entries - 1] + return stake_amount + + return None + + def rebuy_bear_adjust_trade_position(self, trade: Trade, current_time: datetime, + current_rate: float, current_profit: float, + min_stake: Optional[float], max_stake: float, + current_entry_rate: float, current_exit_rate: float, + current_entry_profit: float, current_exit_profit: float, + **kwargs) -> Optional[float]: + dataframe, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) + if(len(dataframe) < 2): + return None + last_candle = dataframe.iloc[-1].squeeze() + previous_candle = dataframe.iloc[-2].squeeze() + + filled_orders = trade.select_filled_orders() + filled_entries = trade.select_filled_orders(trade.entry_side) + filled_exits = trade.select_filled_orders(trade.exit_side) + count_of_entries = trade.nr_of_successful_entries + count_of_exits = trade.nr_of_successful_exits + + if (count_of_entries == 0): + return None + + is_rebuy = False + + if (0 < count_of_entries <= self.pa_rebuy_mode_bear_max): + if ( + (current_profit < self.pa_rebuy_mode_bear_pcts[count_of_entries - 1]) + and ( + (last_candle['rsi_3'] > 10.0) + and (last_candle['rsi_14'] < 40.0) + and (last_candle['rsi_3_1h'] > 10.0) + and (last_candle['close_max_48'] < (last_candle['close'] * 1.1)) + and (last_candle['btc_pct_close_max_72_5m'] < 1.03) + ) + ): + is_rebuy = True + + if is_rebuy: + # This returns first order stake size + stake_amount = filled_entries[0].cost + print('rebuying..') + stake_amount = stake_amount * self.pa_rebuy_mode_bear_multi[count_of_entries - 1] + return stake_amount + + return None + + def informative_pairs(self): + # get access to all pairs available in whitelist. + pairs = self.dp.current_whitelist() + # Assign tf to each pair so they can be downloaded and cached for strategy. + informative_pairs = [] + for info_timeframe in self.info_timeframes: + informative_pairs.extend([(pair, info_timeframe) for pair in pairs]) + + if self.config['stake_currency'] in ['USDT','BUSD','USDC','DAI','TUSD','PAX','USD','EUR','GBP']: + btc_info_pair = f"BTC/{self.config['stake_currency']}" + else: + btc_info_pair = "BTC/USDT" + + informative_pairs.extend([(btc_info_pair, btc_info_timeframe) for btc_info_timeframe in self.btc_info_timeframes]) + + return informative_pairs + + def informative_1d_indicators(self, metadata: dict, info_timeframe) -> DataFrame: + tik = time.perf_counter() + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_1d = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=info_timeframe) + + # Indicators + # ----------------------------------------------------------------------------------------- + # RSI + informative_1d['rsi_14'] = ta.RSI(informative_1d, timeperiod=14) + + # CTI + informative_1d['cti_20'] = pta.cti(informative_1d["close"], length=20) + + # Pivots + informative_1d['pivot'], informative_1d['res1'], informative_1d['res2'], informative_1d['res3'], informative_1d['sup1'], informative_1d['sup2'], informative_1d['sup3'] = pivot_points(informative_1d, mode='fibonacci') + + # S/R + res_series = informative_1d['high'].rolling(window = 5, center=True).apply(lambda row: is_resistance(row), raw=True).shift(2) + sup_series = informative_1d['low'].rolling(window = 5, center=True).apply(lambda row: is_support(row), raw=True).shift(2) + informative_1d['res_level'] = Series(np.where(res_series, np.where(informative_1d['close'] > informative_1d['open'], informative_1d['close'], informative_1d['open']), float('NaN'))).ffill() + informative_1d['res_hlevel'] = Series(np.where(res_series, informative_1d['high'], float('NaN'))).ffill() + informative_1d['sup_level'] = Series(np.where(sup_series, np.where(informative_1d['close'] < informative_1d['open'], informative_1d['close'], informative_1d['open']), float('NaN'))).ffill() + + # Downtrend checks + informative_1d['is_downtrend_3'] = ((informative_1d['close'] < informative_1d['open']) & (informative_1d['close'].shift(1) < informative_1d['open'].shift(1)) & (informative_1d['close'].shift(2) < informative_1d['open'].shift(2))) + + informative_1d['is_downtrend_5'] = ((informative_1d['close'] < informative_1d['open']) & (informative_1d['close'].shift(1) < informative_1d['open'].shift(1)) & (informative_1d['close'].shift(2) < informative_1d['open'].shift(2)) & (informative_1d['close'].shift(3) < informative_1d['open'].shift(3)) & (informative_1d['close'].shift(4) < informative_1d['open'].shift(4))) + + # Wicks + informative_1d['top_wick_pct'] = ((informative_1d['high'] - np.maximum(informative_1d['open'], informative_1d['close'])) / np.maximum(informative_1d['open'], informative_1d['close'])) + + # Candle change + informative_1d['change_pct'] = (informative_1d['close'] - informative_1d['open']) / informative_1d['open'] + + # Performance logging + # ----------------------------------------------------------------------------------------- + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.") + + return informative_1d + + def informative_4h_indicators(self, metadata: dict, info_timeframe) -> DataFrame: + tik = time.perf_counter() + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_4h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=info_timeframe) + + # Indicators + # ----------------------------------------------------------------------------------------- + # RSI + informative_4h['rsi_14'] = ta.RSI(informative_4h, timeperiod=14, fillna=True) + + informative_4h['rsi_14_max_6'] = informative_4h['rsi_14'].rolling(6).max() + + # EMA + informative_4h['ema_12'] = ta.EMA(informative_4h, timeperiod=12) + informative_4h['ema_26'] = ta.EMA(informative_4h, timeperiod=26) + informative_4h['ema_50'] = ta.EMA(informative_4h, timeperiod=50) + informative_4h['ema_100'] = ta.EMA(informative_4h, timeperiod=100) + informative_4h['ema_200'] = ta.EMA(informative_4h, timeperiod=200) + + # SMA + informative_4h['sma_12'] = ta.SMA(informative_4h, timeperiod=12) + informative_4h['sma_26'] = ta.SMA(informative_4h, timeperiod=26) + informative_4h['sma_50'] = ta.SMA(informative_4h, timeperiod=50) + informative_4h['sma_200'] = ta.SMA(informative_4h, timeperiod=200) + + # Williams %R + informative_4h['r_14'] = williams_r(informative_4h, period=14) + informative_4h['r_480'] = williams_r(informative_4h, period=480) + + # CTI + informative_4h['cti_20'] = pta.cti(informative_4h["close"], length=20) + + # S/R + res_series = informative_4h['high'].rolling(window = 5, center=True).apply(lambda row: is_resistance(row), raw=True).shift(2) + sup_series = informative_4h['low'].rolling(window = 5, center=True).apply(lambda row: is_support(row), raw=True).shift(2) + informative_4h['res_level'] = Series(np.where(res_series, np.where(informative_4h['close'] > informative_4h['open'], informative_4h['close'], informative_4h['open']), float('NaN'))).ffill() + informative_4h['res_hlevel'] = Series(np.where(res_series, informative_4h['high'], float('NaN'))).ffill() + informative_4h['sup_level'] = Series(np.where(sup_series, np.where(informative_4h['close'] < informative_4h['open'], informative_4h['close'], informative_4h['open']), float('NaN'))).ffill() + + # Downtrend checks + informative_4h['not_downtrend'] = ((informative_4h['close'] > informative_4h['close'].shift(2)) | (informative_4h['rsi_14'] > 50.0)) + + informative_4h['is_downtrend_3'] = ((informative_4h['close'] < informative_4h['open']) & (informative_4h['close'].shift(1) < informative_4h['open'].shift(1)) & (informative_4h['close'].shift(2) < informative_4h['open'].shift(2))) + + # Wicks + informative_4h['top_wick_pct'] = ((informative_4h['high'] - np.maximum(informative_4h['open'], informative_4h['close'])) / np.maximum(informative_4h['open'], informative_4h['close'])) + + # Candle change + informative_4h['change_pct'] = (informative_4h['close'] - informative_4h['open']) / informative_4h['open'] + + # Max highs + informative_4h['high_max_3'] = informative_4h['high'].rolling(3).max() + informative_4h['high_max_12'] = informative_4h['high'].rolling(12).max() + informative_4h['high_max_24'] = informative_4h['high'].rolling(24).max() + informative_4h['high_max_36'] = informative_4h['high'].rolling(36).max() + informative_4h['high_max_48'] = informative_4h['high'].rolling(48).max() + + informative_4h['pct_change_high_max_1_12'] = (informative_4h['high'] - informative_4h['high_max_12']) / informative_4h['high_max_12'] + informative_4h['pct_change_high_max_3_12'] = (informative_4h['high_max_3'] - informative_4h['high_max_12']) / informative_4h['high_max_12'] + informative_4h['pct_change_high_max_3_24'] = (informative_4h['high_max_3'] - informative_4h['high_max_24']) / informative_4h['high_max_24'] + informative_4h['pct_change_high_max_3_36'] = (informative_4h['high_max_3'] - informative_4h['high_max_36']) / informative_4h['high_max_36'] + informative_4h['pct_change_high_max_3_48'] = (informative_4h['high_max_3'] - informative_4h['high_max_48']) / informative_4h['high_max_48'] + + # Volume + informative_4h['volume_mean_factor_6'] = informative_4h['volume'] / informative_4h['volume'].rolling(6).mean() + + # Performance logging + # ----------------------------------------------------------------------------------------- + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.") + + return informative_4h + + def informative_1h_indicators(self, metadata: dict, info_timeframe) -> DataFrame: + tik = time.perf_counter() + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=info_timeframe) + + # Indicators + # ----------------------------------------------------------------------------------------- + # RSI + informative_1h['rsi_3'] = ta.RSI(informative_1h, timeperiod=3) + informative_1h['rsi_14'] = ta.RSI(informative_1h, timeperiod=14) + + # EMA + informative_1h['ema_12'] = ta.EMA(informative_1h, timeperiod=12) + informative_1h['ema_26'] = ta.EMA(informative_1h, timeperiod=26) + informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) + informative_1h['ema_100'] = ta.EMA(informative_1h, timeperiod=100) + informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) + + # SMA + informative_1h['sma_12'] = ta.SMA(informative_1h, timeperiod=12) + informative_1h['sma_26'] = ta.SMA(informative_1h, timeperiod=26) + informative_1h['sma_50'] = ta.SMA(informative_1h, timeperiod=50) + informative_1h['sma_100'] = ta.SMA(informative_1h, timeperiod=100) + informative_1h['sma_200'] = ta.SMA(informative_1h, timeperiod=200) + + # BB + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_1h), window=20, stds=2) + informative_1h['bb20_2_low'] = bollinger['lower'] + informative_1h['bb20_2_mid'] = bollinger['mid'] + informative_1h['bb20_2_upp'] = bollinger['upper'] + + informative_1h['bb20_2_width'] = ((informative_1h['bb20_2_upp'] - informative_1h['bb20_2_low']) / informative_1h['bb20_2_mid']) + + # Williams %R + informative_1h['r_14'] = williams_r(informative_1h, period=14) + informative_1h['r_96'] = williams_r(informative_1h, period=96) + informative_1h['r_480'] = williams_r(informative_1h, period=480) + + # CTI + informative_1h['cti_20'] = pta.cti(informative_1h["close"], length=20) + informative_1h['cti_40'] = pta.cti(informative_1h["close"], length=40) + + # S/R + res_series = informative_1h['high'].rolling(window = 5, center=True).apply(lambda row: is_resistance(row), raw=True).shift(2) + sup_series = informative_1h['low'].rolling(window = 5, center=True).apply(lambda row: is_support(row), raw=True).shift(2) + informative_1h['res_level'] = Series(np.where(res_series, np.where(informative_1h['close'] > informative_1h['open'], informative_1h['close'], informative_1h['open']), float('NaN'))).ffill() + informative_1h['res_hlevel'] = Series(np.where(res_series, informative_1h['high'], float('NaN'))).ffill() + informative_1h['sup_level'] = Series(np.where(sup_series, np.where(informative_1h['close'] < informative_1h['open'], informative_1h['close'], informative_1h['open']), float('NaN'))).ffill() + + # Pump protections + informative_1h['hl_pct_change_48'] = range_percent_change(self, informative_1h, 'HL', 48) + informative_1h['hl_pct_change_36'] = range_percent_change(self, informative_1h, 'HL', 36) + informative_1h['hl_pct_change_24'] = range_percent_change(self, informative_1h, 'HL', 24) + informative_1h['hl_pct_change_12'] = range_percent_change(self, informative_1h, 'HL', 12) + informative_1h['hl_pct_change_6'] = range_percent_change(self, informative_1h, 'HL', 6) + + # Downtrend checks + informative_1h['not_downtrend'] = ((informative_1h['close'] > informative_1h['close'].shift(2)) | (informative_1h['rsi_14'] > 50.0)) + + informative_1h['is_downtrend_3'] = ((informative_1h['close'] < informative_1h['open']) & (informative_1h['close'].shift(1) < informative_1h['open'].shift(1)) & (informative_1h['close'].shift(2) < informative_1h['open'].shift(2))) + + informative_1h['is_downtrend_5'] = ((informative_1h['close'] < informative_1h['open']) & (informative_1h['close'].shift(1) < informative_1h['open'].shift(1)) & (informative_1h['close'].shift(2) < informative_1h['open'].shift(2)) & (informative_1h['close'].shift(3) < informative_1h['open'].shift(3)) & (informative_1h['close'].shift(4) < informative_1h['open'].shift(4))) + + # Wicks + informative_1h['top_wick_pct'] = ((informative_1h['high'] - np.maximum(informative_1h['open'], informative_1h['close'])) / np.maximum(informative_1h['open'], informative_1h['close'])) + + # Candle change + informative_1h['change_pct'] = (informative_1h['close'] - informative_1h['open']) / informative_1h['open'] + + # Max highs + informative_1h['high_max_3'] = informative_1h['high'].rolling(3).max() + informative_1h['high_max_6'] = informative_1h['high'].rolling(6).max() + informative_1h['high_max_12'] = informative_1h['high'].rolling(12).max() + informative_1h['high_max_24'] = informative_1h['high'].rolling(24).max() + informative_1h['high_max_36'] = informative_1h['high'].rolling(36).max() + informative_1h['high_max_48'] = informative_1h['high'].rolling(48).max() + + informative_1h['pct_change_high_max_3_12'] = (informative_1h['high_max_3'] - informative_1h['high_max_12']) / informative_1h['high_max_12'] + informative_1h['pct_change_high_max_6_12'] = (informative_1h['high_max_6'] - informative_1h['high_max_12']) / informative_1h['high_max_12'] + informative_1h['pct_change_high_max_6_24'] = (informative_1h['high_max_6'] - informative_1h['high_max_24']) / informative_1h['high_max_24'] + + # Volume + informative_1h['volume_mean_factor_12'] = informative_1h['volume'] / informative_1h['volume'].rolling(12).mean() + + # Performance logging + # ----------------------------------------------------------------------------------------- + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.") + + return informative_1h + + def informative_15m_indicators(self, metadata: dict, info_timeframe) -> DataFrame: + tik = time.perf_counter() + assert self.dp, "DataProvider is required for multiple timeframes." + + # Get the informative pair + informative_15m = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=info_timeframe) + + # Indicators + # ----------------------------------------------------------------------------------------- + + # RSI + informative_15m['rsi_3'] = ta.RSI(informative_15m, timeperiod=3) + informative_15m['rsi_14'] = ta.RSI(informative_15m, timeperiod=14) + + # SMA + informative_15m['sma_200'] = ta.SMA(informative_15m, timeperiod=200) + + # CTI + informative_15m['cti_20'] = pta.cti(informative_15m["close"], length=20) + + # Downtrend check + informative_15m['not_downtrend'] = ((informative_15m['close'] > informative_15m['open']) | (informative_15m['close'].shift(1) > informative_15m['open'].shift(1)) | (informative_15m['close'].shift(2) > informative_15m['open'].shift(2)) | (informative_15m['rsi_14'] > 50.0) | (informative_15m['rsi_3'] > 25.0)) + + # Volume + informative_15m['volume_mean_factor_12'] = informative_15m['volume'] / informative_15m['volume'].rolling(12).mean() + + # Performance logging + # ----------------------------------------------------------------------------------------- + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] informative_15m_indicators took: {tok - tik:0.4f} seconds.") + + return informative_15m + + # Coin Pair Base Timeframe Indicators + # --------------------------------------------------------------------------------------------- + def base_tf_5m_indicators(self, metadata: dict, dataframe: DataFrame) -> DataFrame: + tik = time.perf_counter() + + # Indicators + # ----------------------------------------------------------------------------------------- + # RSI + dataframe['rsi_3'] = ta.RSI(dataframe, timeperiod=3) + dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14) + + # EMA + dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) + dataframe['ema_16'] = ta.EMA(dataframe, timeperiod=16) + dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26) + dataframe['ema_50'] = ta.EMA(dataframe, timeperiod=50) + dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200) + + dataframe['ema_200_pct_change_144'] = ((dataframe['ema_200'] - dataframe['ema_200'].shift(144)) / dataframe['ema_200'].shift(144)) + dataframe['ema_200_pct_change_288'] = ((dataframe['ema_200'] - dataframe['ema_200'].shift(288)) / dataframe['ema_200'].shift(288)) + + # SMA + dataframe['sma_50'] = ta.SMA(dataframe, timeperiod=50) + dataframe['sma_200'] = ta.SMA(dataframe, timeperiod=200) + + # BB 20 - STD2 + bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + dataframe['bb20_2_low'] = bb_20_std2['lower'] + dataframe['bb20_2_mid'] = bb_20_std2['mid'] + dataframe['bb20_2_upp'] = bb_20_std2['upper'] + + # BB 40 - STD2 + bb_40_std2 = qtpylib.bollinger_bands(dataframe['close'], window=40, stds=2) + dataframe['bb40_2_low'] = bb_40_std2['lower'] + dataframe['bb40_2_mid'] = bb_40_std2['mid'] + dataframe['bb40_2_delta'] = (bb_40_std2['mid'] - dataframe['bb40_2_low']).abs() + dataframe['bb40_2_tail'] = (dataframe['close'] - dataframe['bb40_2_low']).abs() + + # Williams %R + dataframe['r_14'] = williams_r(dataframe, period=14) + dataframe['r_480'] = williams_r(dataframe, period=480) + + # CTI + dataframe['cti_20'] = pta.cti(dataframe["close"], length=20) + + # Heiken Ashi + heikinashi = qtpylib.heikinashi(dataframe) + dataframe['ha_open'] = heikinashi['open'] + dataframe['ha_close'] = heikinashi['close'] + dataframe['ha_high'] = heikinashi['high'] + dataframe['ha_low'] = heikinashi['low'] + + # Dip protection + dataframe['tpct_change_0'] = top_percent_change(self, dataframe, 0) + dataframe['tpct_change_2'] = top_percent_change(self, dataframe, 2) + + # Close max + dataframe['close_max_12'] = dataframe['close'].rolling(12).max() + dataframe['close_max_24'] = dataframe['close'].rolling(24).max() + dataframe['close_max_48'] = dataframe['close'].rolling(48).max() + + dataframe['pct_close_max_48'] = (dataframe['close_max_48'] - dataframe['close']) / dataframe['close'] + + # Close delta + dataframe['close_delta'] = (dataframe['close'] - dataframe['close'].shift()).abs() + + # For sell checks + dataframe['crossed_below_ema_12_26'] = qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26']) + + # Global protections + # ----------------------------------------------------------------------------------------- + if not self.config['runmode'].value in ('live', 'dry_run'): + # Backtest age filter + dataframe['bt_agefilter_ok'] = False + dataframe.loc[dataframe.index > (12 * 24 * self.bt_min_age_days),'bt_agefilter_ok'] = True + else: + # Exchange downtime protection + dataframe['live_data_ok'] = (dataframe['volume'].rolling(window=72, min_periods=72).min() > 0) + + # Performance logging + # ----------------------------------------------------------------------------------------- + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] base_tf_5m_indicators took: {tok - tik:0.4f} seconds.") + + return dataframe + + # Coin Pair Indicator Switch Case + # --------------------------------------------------------------------------------------------- + def info_switcher(self, metadata: dict, info_timeframe) -> DataFrame: + if info_timeframe == '1d': + return self.informative_1d_indicators(metadata, info_timeframe) + elif info_timeframe == '4h': + return self.informative_4h_indicators(metadata, info_timeframe) + elif info_timeframe == '1h': + return self.informative_1h_indicators(metadata, info_timeframe) + elif info_timeframe == '15m': + return self.informative_15m_indicators(metadata, info_timeframe) + else: + raise RuntimeError(f"{info_timeframe} not supported as informative timeframe for BTC pair.") + + # BTC 1D Indicators + # --------------------------------------------------------------------------------------------- + def btc_info_1d_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: + tik = time.perf_counter() + btc_info_1d = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) + # Indicators + # ----------------------------------------------------------------------------------------- + btc_info_1d['rsi_14'] = ta.RSI(btc_info_1d, timeperiod=14) + #btc_info_1d['pivot'], btc_info_1d['res1'], btc_info_1d['res2'], btc_info_1d['res3'], btc_info_1d['sup1'], btc_info_1d['sup2'], btc_info_1d['sup3'] = pivot_points(btc_info_1d, mode='fibonacci') + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date'] + btc_info_1d.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] btc_info_1d_indicators took: {tok - tik:0.4f} seconds.") + + return btc_info_1d + + # BTC 4h Indicators + # --------------------------------------------------------------------------------------------- + def btc_info_4h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: + tik = time.perf_counter() + btc_info_4h = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) + # Indicators + # ----------------------------------------------------------------------------------------- + # RSI + btc_info_4h['rsi_14'] = ta.RSI(btc_info_4h, timeperiod=14) + + # SMA + btc_info_4h['sma_200'] = ta.SMA(btc_info_4h, timeperiod=200) + + # Bull market or not + btc_info_4h['is_bull'] = btc_info_4h['close'] > btc_info_4h['sma_200'] + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date'] + btc_info_4h.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] btc_info_4h_indicators took: {tok - tik:0.4f} seconds.") + + return btc_info_4h + + # BTC 1h Indicators + # --------------------------------------------------------------------------------------------- + def btc_info_1h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: + tik = time.perf_counter() + btc_info_1h = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) + # Indicators + # ----------------------------------------------------------------------------------------- + # RSI + btc_info_1h['rsi_14'] = ta.RSI(btc_info_1h, timeperiod=14) + + btc_info_1h['not_downtrend'] = ((btc_info_1h['close'] > btc_info_1h['close'].shift(2)) | (btc_info_1h['rsi_14'] > 50)) + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date'] + btc_info_1h.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] btc_info_1h_indicators took: {tok - tik:0.4f} seconds.") + + return btc_info_1h + + # BTC 15m Indicators + # --------------------------------------------------------------------------------------------- + def btc_info_15m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: + tik = time.perf_counter() + btc_info_15m = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) + # Indicators + # ----------------------------------------------------------------------------------------- + btc_info_15m['rsi_14'] = ta.RSI(btc_info_15m, timeperiod=14) + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date'] + btc_info_15m.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] btc_info_15m_indicators took: {tok - tik:0.4f} seconds.") + + return btc_info_15m + + # BTC 5m Indicators + # --------------------------------------------------------------------------------------------- + def btc_info_5m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: + tik = time.perf_counter() + btc_info_5m = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) + # Indicators + # ----------------------------------------------------------------------------------------- + + # RSI + btc_info_5m['rsi_14'] = ta.RSI(btc_info_5m, timeperiod=14) + + # Close max + btc_info_5m['close_max_24'] = btc_info_5m['close'].rolling(24).max() + btc_info_5m['close_max_72'] = btc_info_5m['close'].rolling(72).max() + + btc_info_5m['pct_close_max_24'] = (btc_info_5m['close_max_24'] - btc_info_5m['close']) / btc_info_5m['close'] + btc_info_5m['pct_close_max_72'] = (btc_info_5m['close_max_72'] - btc_info_5m['close']) / btc_info_5m['close'] + + # Add prefix + # ----------------------------------------------------------------------------------------- + ignore_columns = ['date'] + btc_info_5m.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] btc_info_5m_indicators took: {tok - tik:0.4f} seconds.") + + return btc_info_5m + + # BTC Indicator Switch Case + # --------------------------------------------------------------------------------------------- + def btc_info_switcher(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: + if btc_info_timeframe == '1d': + return self.btc_info_1d_indicators(btc_info_pair, btc_info_timeframe, metadata) + elif btc_info_timeframe == '4h': + return self.btc_info_4h_indicators(btc_info_pair, btc_info_timeframe, metadata) + elif btc_info_timeframe == '1h': + return self.btc_info_1h_indicators(btc_info_pair, btc_info_timeframe, metadata) + elif btc_info_timeframe == '15m': + return self.btc_info_15m_indicators(btc_info_pair, btc_info_timeframe, metadata) + elif btc_info_timeframe == '5m': + return self.btc_info_5m_indicators(btc_info_pair, btc_info_timeframe, metadata) + else: + raise RuntimeError(f"{btc_info_timeframe} not supported as informative timeframe for BTC pair.") + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + tik = time.perf_counter() + ''' + --> BTC informative indicators + ___________________________________________________________________________________________ + ''' + if self.config['stake_currency'] in ['USDT','BUSD','USDC','DAI','TUSD','PAX','USD','EUR','GBP']: + btc_info_pair = f"BTC/{self.config['stake_currency']}" + else: + btc_info_pair = "BTC/USDT" + + for btc_info_timeframe in self.btc_info_timeframes: + btc_informative = self.btc_info_switcher(btc_info_pair, btc_info_timeframe, metadata) + dataframe = merge_informative_pair(dataframe, btc_informative, self.timeframe, btc_info_timeframe, ffill=True) + # Customize what we drop - in case we need to maintain some BTC informative ohlcv data + # Default drop all + drop_columns = { + '1d': [f"btc_{s}_{btc_info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + '4h': [f"btc_{s}_{btc_info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + '1h': [f"btc_{s}_{btc_info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + '15m': [f"btc_{s}_{btc_info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + '5m': [f"btc_{s}_{btc_info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + }.get(btc_info_timeframe,[f"{s}_{btc_info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']]) + drop_columns.append(f"date_{btc_info_timeframe}") + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + ''' + --> Indicators on informative timeframes + ___________________________________________________________________________________________ + ''' + for info_timeframe in self.info_timeframes: + info_indicators = self.info_switcher(metadata, info_timeframe) + dataframe = merge_informative_pair(dataframe, info_indicators, self.timeframe, info_timeframe, ffill=True) + # Customize what we drop - in case we need to maintain some informative timeframe ohlcv data + # Default drop all except base timeframe ohlcv data + drop_columns = { + '1d': [f"{s}_{info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + '4h': [f"{s}_{info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + '1h': [f"{s}_{info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']], + '15m': [f"{s}_{info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']] + }.get(info_timeframe,[f"{s}_{info_timeframe}" for s in ['date', 'open', 'high', 'low', 'close', 'volume']]) + dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) + + ''' + --> The indicators for the base timeframe (5m) + ___________________________________________________________________________________________ + ''' + dataframe = self.base_tf_5m_indicators(metadata, dataframe) + + tok = time.perf_counter() + log.debug(f"[{metadata['pair']}] Populate indicators took a total of: {tok - tik:0.4f} seconds.") + + return dataframe + + def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + conditions = [] + dataframe.loc[:, 'enter_tag'] = '' + + # the number of free slots + current_free_slots = self.config["max_open_trades"] - len(LocalTrade.get_trades_proxy(is_open=True)) + + for buy_enable in self.buy_params: + index = int(buy_enable.split('_')[2]) + item_buy_protection_list = [True] + if self.buy_params[f'{buy_enable}']: + + # Buy conditions + # ----------------------------------------------------------------------------------------- + item_buy_logic = [] + item_buy_logic.append(reduce(lambda x, y: x & y, item_buy_protection_list)) + + # Condition #1 - Long mode bull. Uptrend. + if index == 1: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.16)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_48_4h'] < (dataframe['close'] * 1.5)) + item_buy_logic.append(dataframe['hl_pct_change_24_1h'] < 0.5) + item_buy_logic.append(dataframe['hl_pct_change_48_1h'] < 0.75) + + item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1d'] < 80.0) + item_buy_logic.append(dataframe['r_14_1h'] < -25.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + # curent 4h long red, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.08) + | (dataframe['cti_20_4h'] < 0.85)) + # current 1d red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d long green, current 4h red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_1d'] < 0.8)) + # current 4h red with top wick, drop in last 4 hours + item_buy_logic.append((dataframe['change_pct_4h'] > -0.08) + | (dataframe['top_wick_pct_4h'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # current 4h long red, drop in the last 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.1) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + # current 4h green with top wick, current 1d red, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.08) + | (dataframe['change_pct_1d'] > -0.04) + | (dataframe['cti_20_1d'] < 0.85)) + # current 4h green with top wick, previous high is higher than current high + item_buy_logic.append((dataframe['change_pct_4h'] < 0.01) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 3.0)) + | (dataframe['pct_change_high_max_3_24_4h'] > -0.1)) + # current 4h with relative long top wick, drop in the last 4h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + #current 4h red, current higher lower than previous high, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['pct_change_high_max_3_24_4h'] > -0.12) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h red, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h long red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['cti_20_1h'] < -0.5)) + # current 1d long green with top long wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # current 1d long red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.85)) + # current 1d red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['cti_20_1d'] < 0.9)) + # current 1d long red, overbought 1d, drop in the last 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['cti_20_1d'] < 0.9) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + # current 1d red, previous 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['change_pct_1d'].shift(288) > -0.04) + | (dataframe['top_wick_pct_1d'].shift(288) < 0.04) + | (dataframe['cti_20_1d'] < 0.5)) + # current 1d red, previous 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['change_pct_1d'].shift(288) > -0.02) + | (dataframe['top_wick_pct_1d'].shift(288) < 0.02) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d green with top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.04) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['is_downtrend_3_1h'] == False)) + # current 1d red, previous 1d red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.0) + | (dataframe['change_pct_1d'].shift(288) > -0.0) + | (dataframe['cti_20_1d'] < 0.9)) + # current 1d green, overbought 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['cti_20_4h'] < 0.8)) + # drop while near there was overbought 4h + item_buy_logic.append((dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['rsi_14_max_6_4h'] < 80.0) + | (dataframe['cti_20_4h'] < 0.5)) + # current 4h downtrend, drop in last 24h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.2))) + # current 4h downtrend, overbought 4h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.85)) + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['change_pct_1d'] < 0.12)) + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d long top wick + item_buy_logic.append(dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 10.0)) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5)) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1d'] < 0.75)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.016)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + + # Condition #2 - Normal mode bull. + if index == 2: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append((dataframe['tpct_change_0'] < 0.034)) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(48)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.5) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1d'] < 80.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04)) + # current 4h red, overbought, 4h downtrend + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h long red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.1) + | (dataframe['cti_20_4h'] < 0.85)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['top_wick_pct_4h'] < 0.02) + | (dataframe['cti_20_4h'] < 0.85)) + # 3 4h red + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5)) + # current and previous 4h red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.0) + | (dataframe['change_pct_4h'].shift(48) > -0.0) + | (dataframe['rsi_14_4h'] < 50.0) + | (dataframe['cti_20_4h'] < 0.5)) + item_buy_logic.append((dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # currend 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # currend 1d green with top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # currend 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d green with top wick, current 4h red + item_buy_logic.append((dataframe['change_pct_1d'] < 0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['change_pct_4h'] > -0.06) + | (dataframe['cti_20_4h'] < 0.8)) + # current 1d red + item_buy_logic.append((dataframe['change_pct_1d'] > -0.05) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_1d'] < 0.85)) + # current 1d red + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.8)) + + # Logic + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.04)) + item_buy_logic.append(dataframe['close_delta'].gt(dataframe['close'] * 0.02)) + item_buy_logic.append(dataframe['bb40_2_tail'].lt(dataframe['bb40_2_delta'] * 0.2)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + + # Condition #3 - Normal mode bull. + if index == 3: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + + item_buy_logic.append(dataframe['ema_12_1h'] > dataframe['ema_200_1h']) + + item_buy_logic.append(dataframe['ema_12_4h'] > dataframe['ema_200_4h']) + + item_buy_logic.append(dataframe['rsi_14_4h'] < 75.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 4h green with wick, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.1) + | (dataframe['top_wick_pct_4h'] < 0.16) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h long green, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.12) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > 0.0) + | (dataframe['top_wick_pct_4h'] < 0.1) + | (dataframe['ema_12_4h'] > dataframe['ema_200_4h'])) + # current 4h long red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.1) + | (dataframe['rsi_14_max_6_4h'] < 85.0)) + # current 4h very long top wick + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.06) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['rsi_14_4h'] < 70.00)) + # current 1d long red, previous 1d long green with long top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.2) + | (dataframe['change_pct_1d'].shift(288) < 0.2) + | (dataframe['top_wick_pct_1d'].shift(288) < 0.2)) + # current 1d green, overbought 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['cti_20_4h'] < 0.8)) + # current 1d long green with long green wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['top_wick_pct_1d'] < 0.2)) + # current 1d long green, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_1d'] < 0.8)) + + + # Logic + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append(dataframe['ha_close'] > dataframe['ha_open']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + + # Condition #4 - Normal mode bull. + if index == 4: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.9) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.9) + item_buy_logic.append(dataframe['rsi_14_4h'] < 80.0) + item_buy_logic.append(dataframe['r_480_1h'] < -25.0) + item_buy_logic.append(dataframe['r_480_4h'] < -4.0) + item_buy_logic.append(dataframe['rsi_3_15m'] > 14.0) + item_buy_logic.append(dataframe['rsi_3_1h'] > 16.0) + + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 4h red with wick, previous 4h green with wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['top_wick_pct_4h'] < 0.08) + | (dataframe['change_pct_4h'].shift(48) < 0.08) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.08)) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.02) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['high_max_6_1h'] < (dataframe['close'] * 1.2))) + # current and previous 4h red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.05) + | (dataframe['change_pct_4h'].shift(48) > -0.05) + | (dataframe['rsi_14_max_6_4h'] < 85.0)) + # current 4h red, previous 4h long green with long top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) < 0.16) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.16) + | (dataframe['cti_20_4h'] < 0.8)) + # current 4h long green and descending + item_buy_logic.append((dataframe['change_pct_4h'] < 0.2) + | (dataframe['r_14_4h'] < -20.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_4h'] < 0.8) + | (dataframe['pct_change_high_max_3_12_4h'] > -0.05)) + # current 4h red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['rsi_14_max_6_4h'] < 80.0) + | (dataframe['pct_change_high_max_1_12_4h'] > -0.05)) + # current 4h red with top wick, previous 4h green + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['top_wick_pct_4h'] < 0.06) + | (dataframe['change_pct_4h'].shift(48) < 0.06) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.3))) + item_buy_logic.append((dataframe['rsi_14_4h'] < 70.0) + | (dataframe['cti_20_4h'] < 0.8) + | (dataframe['pct_change_high_max_3_12_4h'] > -0.1)) + # current 4h red with long top wick, downtrend + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 5.0)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.996)) + + # Condition #5 - Normal mode bull. + if index == 5: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['rsi_14_1h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append((dataframe['cti_20_4h'] < 0.9) + | (dataframe['r_14_4h'] < -30.0)) + + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h'])) + # downtrend 15m, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 1h, drop in the last 1h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_12'] < (dataframe['close'] * 1.16))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + # current 4h long green, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.08) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h with relative long top wick, drop in the last 4h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + # current 4h red, overbought 4h, drop in the last 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['cti_20_4h'] < 0.8) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + # current 1d very long green with very long top wick, drop in last 4h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.3) + | (dataframe['top_wick_pct_1d'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h green with top wick, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h red with top wick, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1h red, overbought 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.02) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1h long red, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.08) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + + # Condition #6 - Normal mode bull. + if index == 6: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append((dataframe['tpct_change_0'] < 0.03)) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_48_4h'] < (dataframe['close'] * 1.9)) + + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + item_buy_logic.append((dataframe['not_downtrend_15m'])) + # downtrend 1h, drop in the last 1h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_12'] < (dataframe['close'] * 1.16))) + # downtrend 1h, downtrend 4h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + + # current 1h red, overbought 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.02) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h green with top wick, downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h green with top wick, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red with top wick, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['rsi_14_1h'] < 70.0) + | (dataframe['rsi_14_4h'] < 70.0)) + # downtrend 1d, downtrend 15m, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288))) + # # downtrend 1d, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 1d, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.8) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 1d, overbought 1d, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red with top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['top_wick_pct_1d'] < 0.02) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red, overbought 1h, drop in the last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d very long green with very long top wick, drop in last 4h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.3) + | (dataframe['top_wick_pct_1d'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d long green with long top wick, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.16) + | (dataframe['top_wick_pct_1d'] < 0.16) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['cti_20_1d'] < 0.9) + | (dataframe['rsi_14_1d'] < 75.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # overbought 1d, overbought 4h + item_buy_logic.append((dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.5)) + # current 1d long green, down 15m, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['not_downtrend_15m']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 4h, mild overbought 4h, drop in last 2h and 4h + item_buy_logic.append((dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_26'] * 0.94)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.996)) + + # Condition #11 - Normal mode bear. + if index == 11: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.16)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_48_4h'] < (dataframe['close'] * 1.5)) + item_buy_logic.append(dataframe['hl_pct_change_24_1h'] < 0.5) + item_buy_logic.append(dataframe['hl_pct_change_48_1h'] < 0.75) + + item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1d'] < 80.0) + item_buy_logic.append(dataframe['r_14_1h'] < -25.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + # curent 4h long red, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.08) + | (dataframe['cti_20_4h'] < 0.85)) + # current 1d red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d long green, current 4h red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_1d'] < 0.8)) + # current 4h red with top wick, drop in last 4 hours + item_buy_logic.append((dataframe['change_pct_4h'] > -0.08) + | (dataframe['top_wick_pct_4h'] < 0.08) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # current 4h long red, drop in the last 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.1) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + # current 4h green with top wick, current 1d red, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.08) + | (dataframe['change_pct_1d'] > -0.04) + | (dataframe['cti_20_1d'] < 0.85)) + # current 4h green with top wick, previous high is higher than current high + item_buy_logic.append((dataframe['change_pct_4h'] < 0.01) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 3.0)) + | (dataframe['pct_change_high_max_3_24_4h'] > -0.1)) + # current 4h with relative long top wick, drop in the last 4h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + #current 4h red, current higher lower than previous high, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['pct_change_high_max_3_24_4h'] > -0.12) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h red, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h long red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.12) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16)) + | (dataframe['cti_20_1h'] < -0.5)) + # current 1d long green with top long wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # current 1d long red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.85)) + # current 1d red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['cti_20_1d'] < 0.9)) + # current 1d long red, overbought 1d, drop in the last 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['cti_20_1d'] < 0.9) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + # current 1d red, previous 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['change_pct_1d'].shift(288) > -0.04) + | (dataframe['top_wick_pct_1d'].shift(288) < 0.04) + | (dataframe['cti_20_1d'] < 0.5)) + # current 1d red, previous 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['change_pct_1d'].shift(288) > -0.02) + | (dataframe['top_wick_pct_1d'].shift(288) < 0.02) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d green with top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.04) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['is_downtrend_3_1h'] == False)) + # current 1d red, previous 1d red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.0) + | (dataframe['change_pct_1d'].shift(288) > -0.0) + | (dataframe['cti_20_1d'] < 0.9)) + # current 1d green, overbought 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['cti_20_4h'] < 0.8)) + # drop while near there was overbought 4h + item_buy_logic.append((dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['rsi_14_max_6_4h'] < 80.0) + | (dataframe['cti_20_4h'] < 0.5)) + # current 4h downtrend, drop in last 24h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.2))) + # current 4h downtrend, overbought 4h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.85)) + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['change_pct_1d'] < 0.12)) + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d long top wick + item_buy_logic.append(dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 10.0)) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5)) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1d'] < 0.75)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.016)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.999)) + + # Condition #12 - Normal mode bear. + if index == 12: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append((dataframe['tpct_change_0'] < 0.034)) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(48)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.5) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1d'] < 80.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04)) + # current 4h red, overbought, 4h downtrend + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h long red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.1) + | (dataframe['cti_20_4h'] < 0.85)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['top_wick_pct_4h'] < 0.02) + | (dataframe['cti_20_4h'] < 0.85)) + # 3 4h red + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5)) + # current and previous 4h red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.0) + | (dataframe['change_pct_4h'].shift(48) > -0.0) + | (dataframe['rsi_14_4h'] < 50.0) + | (dataframe['cti_20_4h'] < 0.5)) + item_buy_logic.append((dataframe['hl_pct_change_48_1h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # currend 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # currend 1d green with top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # currend 1d red with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['rsi_14_1d'] < 70.0)) + # current 1d green with top wick, current 4h red + item_buy_logic.append((dataframe['change_pct_1d'] < 0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['change_pct_4h'] > -0.06) + | (dataframe['cti_20_4h'] < 0.8)) + # current 1d red + item_buy_logic.append((dataframe['change_pct_1d'] > -0.05) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_1d'] < 0.85)) + # current 1d red + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.8)) + + # Logic + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.04)) + item_buy_logic.append(dataframe['close_delta'].gt(dataframe['close'] * 0.02)) + item_buy_logic.append(dataframe['bb40_2_tail'].lt(dataframe['bb40_2_delta'] * 0.2)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + + # Condition #13 - Normal mode bear. + if index == 13: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + + item_buy_logic.append(dataframe['ema_12_1h'] > dataframe['ema_200_1h']) + + item_buy_logic.append(dataframe['ema_12_4h'] > dataframe['ema_200_4h']) + + item_buy_logic.append(dataframe['rsi_14_4h'] < 75.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 4h green with wick, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.1) + | (dataframe['top_wick_pct_4h'] < 0.16) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h long green, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.12) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > 0.0) + | (dataframe['top_wick_pct_4h'] < 0.1) + | (dataframe['ema_12_4h'] > dataframe['ema_200_4h'])) + # current 4h long red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.1) + | (dataframe['rsi_14_max_6_4h'] < 85.0)) + # current 4h very long top wick + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.06) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['rsi_14_4h'] < 70.00)) + # current 1d long red, previous 1d long green with long top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.2) + | (dataframe['change_pct_1d'].shift(288) < 0.2) + | (dataframe['top_wick_pct_1d'].shift(288) < 0.2)) + # current 1d green, overbought 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['cti_20_4h'] < 0.8)) + # current 1d long green with long green wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['top_wick_pct_1d'] < 0.2)) + # current 1d long green, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_1d'] < 0.8)) + + + # Logic + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + item_buy_logic.append(dataframe['ha_close'] > dataframe['ha_open']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + + # Condition #14 - Normal mode bear. + if index == 14: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.9) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.9) + item_buy_logic.append(dataframe['rsi_14_4h'] < 80.0) + item_buy_logic.append(dataframe['r_480_1h'] < -25.0) + item_buy_logic.append(dataframe['r_480_4h'] < -4.0) + item_buy_logic.append(dataframe['rsi_3_15m'] > 14.0) + item_buy_logic.append(dataframe['rsi_3_1h'] > 16.0) + + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 4h red with wick, previous 4h green with wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['top_wick_pct_4h'] < 0.08) + | (dataframe['change_pct_4h'].shift(48) < 0.08) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.08)) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.02) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['high_max_6_1h'] < (dataframe['close'] * 1.2))) + # current and previous 4h red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.05) + | (dataframe['change_pct_4h'].shift(48) > -0.05) + | (dataframe['rsi_14_max_6_4h'] < 85.0)) + # current 4h red, previous 4h long green with long top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) < 0.16) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.16) + | (dataframe['cti_20_4h'] < 0.8)) + # current 4h long green and descending + item_buy_logic.append((dataframe['change_pct_4h'] < 0.2) + | (dataframe['r_14_4h'] < -20.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_4h'] < 0.8) + | (dataframe['pct_change_high_max_3_12_4h'] > -0.05)) + # current 4h red + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['rsi_14_max_6_4h'] < 80.0) + | (dataframe['pct_change_high_max_1_12_4h'] > -0.05)) + # current 4h red with top wick, previous 4h green + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['top_wick_pct_4h'] < 0.06) + | (dataframe['change_pct_4h'].shift(48) < 0.06) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.3))) + item_buy_logic.append((dataframe['rsi_14_4h'] < 70.0) + | (dataframe['cti_20_4h'] < 0.8) + | (dataframe['pct_change_high_max_3_12_4h'] > -0.1)) + # current 4h red with long top wick, downtrend + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 5.0)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.996)) + + # Condition #15 - Normal mode bear. + if index == 15: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['rsi_14_1h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append((dataframe['cti_20_4h'] < 0.9) + | (dataframe['r_14_4h'] < -30.0)) + + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h'])) + # downtrend 15m, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 1h, drop in the last 1h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_12'] < (dataframe['close'] * 1.16))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + # current 4h long green, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.08) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h with relative long top wick, drop in the last 4h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + # current 4h red, overbought 4h, drop in the last 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['cti_20_4h'] < 0.8) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + # current 1d very long green with very long top wick, drop in last 4h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.3) + | (dataframe['top_wick_pct_1d'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h green with top wick, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h red with top wick, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1h red, overbought 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.02) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1h long red, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.08) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + + # Condition #16 - Normal mode bear. + if index == 16: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append((dataframe['tpct_change_0'] < 0.03)) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_48_4h'] < (dataframe['close'] * 1.9)) + + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + item_buy_logic.append((dataframe['not_downtrend_15m'])) + # downtrend 1h, drop in the last 1h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_12'] < (dataframe['close'] * 1.16))) + # downtrend 1h, downtrend 4h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 1h, drop in the last 4h + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + + # current 1h red, overbought 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.02) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h green with top wick, downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h green with top wick, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red with top wick, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['rsi_14_1h'] < 70.0) + | (dataframe['rsi_14_4h'] < 70.0)) + # downtrend 1d, downtrend 15m, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288))) + # # downtrend 1d, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 1d, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.8) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 1d, overbought 1d, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red with top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['top_wick_pct_1d'] < 0.02) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red, overbought 1h, drop in the last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d very long green with very long top wick, drop in last 4h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.3) + | (dataframe['top_wick_pct_1d'] < 0.3) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d long green with long top wick, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.16) + | (dataframe['top_wick_pct_1d'] < 0.16) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['cti_20_1d'] < 0.9) + | (dataframe['rsi_14_1d'] < 75.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # overbought 1d, overbought 4h + item_buy_logic.append((dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.5)) + # current 1d long green, down 15m, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['not_downtrend_15m']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 4h, mild overbought 4h, drop in last 2h and 4h + item_buy_logic.append((dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.12))) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_26'] * 0.94)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.996)) + + # Condition #21 - Pump mode bull. + if index == 21: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.24)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(96)) + item_buy_logic.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + item_buy_logic.append(dataframe['sma_200_4h'] > dataframe['sma_200_4h'].shift(96)) + + item_buy_logic.append(dataframe['close'] > dataframe['ema_200']) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.9) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.88) + item_buy_logic.append(dataframe['rsi_14_1h'] < 80.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 80.0) + item_buy_logic.append(dataframe['r_480_4h'] < -5.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['rsi_3_1h'] > 20.0)) + item_buy_logic.append(dataframe['is_downtrend_5_1h'] == False) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 4h red with top wick, previous 4h long green + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['change_pct_4h'].shift(48) < 0.12)) + # current 4h red, previous 4h green with wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) < 0.18) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.08) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + item_buy_logic.append((dataframe['cti_20_4h'] < 0.7) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.3))) + # 4h long top wick + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['cti_20_4h'] < 0.75) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + # current 4h red, previous 4h red, 2nd previous 4h big green + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['change_pct_4h'].shift(48) > -0.02) + | (dataframe['change_pct_4h'].shift(96) < 0.2) + | (dataframe['hl_pct_change_24_1h'] < 0.5)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.01) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['pct_change_high_max_3_36_4h'] > -0.1)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.06) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + item_buy_logic.append((dataframe['change_pct_4h'] < 0.1) + | (dataframe['top_wick_pct_4h'] < 0.08)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + + # Condition #22 - Pump mode bull. + if index == 22: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.4)) + + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(96)) + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + item_buy_logic.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.9) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.9) + item_buy_logic.append(dataframe['rsi_14_1h'] < 70.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 70.0) + item_buy_logic.append(dataframe['r_480_4h'] < -25.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['rsi_3_1h'] > 20.0)) + item_buy_logic.append(dataframe['is_downtrend_5_1h'] == False) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.2) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.01) + item_buy_logic.append(dataframe['pct_change_high_max_3_24_4h'] > -0.05) + item_buy_logic.append(dataframe['pct_change_high_max_3_48_4h'] > -0.1) + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['r_480_1h'] < -25.0)) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.05) + | (dataframe['top_wick_pct_4h'] < 0.05) + | (dataframe['cti_20_1h'] < 0.8)) + item_buy_logic.append((dataframe['change_pct_4h'] < 0.05) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['r_14_4h'] < -16.0)) + # current 4h long top wick + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['cti_20_4h'] < 0.8)) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_16'] * 0.968)) + item_buy_logic.append(dataframe['cti_20'] < -0.8) + item_buy_logic.append(dataframe['rsi_14'] < 50.0) + + # Condition #31 - Pump mode bear. + if index == 31: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.24)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(96)) + item_buy_logic.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + item_buy_logic.append(dataframe['sma_200_4h'] > dataframe['sma_200_4h'].shift(96)) + + item_buy_logic.append(dataframe['close'] > dataframe['ema_200']) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.9) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.88) + item_buy_logic.append(dataframe['rsi_14_1h'] < 80.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 80.0) + item_buy_logic.append(dataframe['r_480_4h'] < -5.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['rsi_3_1h'] > 20.0)) + item_buy_logic.append(dataframe['is_downtrend_5_1h'] == False) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 4h red with top wick, previous 4h long green + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['change_pct_4h'].shift(48) < 0.12)) + # current 4h red, previous 4h green with wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) < 0.18) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.08) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + item_buy_logic.append((dataframe['cti_20_4h'] < 0.7) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.3))) + # 4h long top wick + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['cti_20_4h'] < 0.75) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + # current 4h red, previous 4h red, 2nd previous 4h big green + item_buy_logic.append((dataframe['change_pct_4h'] > -0.02) + | (dataframe['change_pct_4h'].shift(48) > -0.02) + | (dataframe['change_pct_4h'].shift(96) < 0.2) + | (dataframe['hl_pct_change_24_1h'] < 0.5)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.01) + | (dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['pct_change_high_max_3_36_4h'] > -0.1)) + # current 4h red with top wick + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.06) + | (dataframe['rsi_14_max_6_4h'] < 80.0)) + item_buy_logic.append((dataframe['change_pct_4h'] < 0.1) + | (dataframe['top_wick_pct_4h'] < 0.08)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.022)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + + # Condition #32 - Pump mode bear. + if index == 32: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.4)) + + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(96)) + item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + item_buy_logic.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(24)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.9) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.9) + item_buy_logic.append(dataframe['rsi_14_1h'] < 70.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 70.0) + item_buy_logic.append(dataframe['r_480_4h'] < -25.0) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + item_buy_logic.append(dataframe['not_downtrend_1h']) + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['rsi_3_1h'] > 20.0)) + item_buy_logic.append(dataframe['is_downtrend_5_1h'] == False) + item_buy_logic.append(dataframe['not_downtrend_4h']) + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.2) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.01) + item_buy_logic.append(dataframe['pct_change_high_max_3_24_4h'] > -0.05) + item_buy_logic.append(dataframe['pct_change_high_max_3_48_4h'] > -0.1) + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['r_480_1h'] < -25.0)) + # current 4h green with top wick + item_buy_logic.append((dataframe['change_pct_4h'] < 0.05) + | (dataframe['top_wick_pct_4h'] < 0.05) + | (dataframe['cti_20_1h'] < 0.8)) + item_buy_logic.append((dataframe['change_pct_4h'] < 0.05) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['r_14_4h'] < -16.0)) + # current 4h long top wick + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 10.0)) + | (dataframe['cti_20_4h'] < 0.8)) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_16'] * 0.968)) + item_buy_logic.append(dataframe['cti_20'] < -0.8) + item_buy_logic.append(dataframe['rsi_14'] < 50.0) + + # Condition #41 - Quick mode bull. + if index == 41: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['high_max_24_4h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['cti_20_1h'] < -0.75) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 1d long red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.16) + | (dataframe['cti_20_1d'] < 0.85)) + # downtrend 4h, downtrend 1h, downtrend 15, drop in last 4 days + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_15m']) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.24))) + # downtrend4h, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 4h, downtrend 1h, overbought 4h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5)) + # downtrend 4h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.85)) + # downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d red, previous 1d red, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['change_pct_1d'].shift(288) > -0.02) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d relative long top wick, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h'])) + # current 1d red, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d red, overbought 1d, current 4h red, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['change_pct_4h'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h'])) + # current 1d green with top wick, overbought 1d, overbought 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.04) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.85)) + # current 4h green, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_1d'] < 85.0)) + + # Logic + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.036)) + item_buy_logic.append(dataframe['close_delta'].gt(dataframe['close'] * 0.02)) + item_buy_logic.append(dataframe['bb40_2_tail'].lt(dataframe['bb40_2_delta'] * 0.4)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + + # Condition #42 - Quick mode bull. + if index == 42: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + item_buy_logic.append(dataframe['high_max_24_4h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['cti_20_1h'] < -0.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # downtrend 15m, downtrend 1h, downtrend 4h, drop in last 4 days + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.2))) + # downtrend 15m, downtrend 1h, CTI 1h not low enough + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < -0.5)) + # downtrend 1h, CTI 1h not low enough, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_1d'] < 0.9) + | (dataframe['rsi_14_1d'] < 75.0)) + # current and previous 4h red, downtrend 4h, downtrend 1h, downtrend 15m + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) > -0.04) + | (dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_15m'])) + # downtrend 4h, current 1d long red, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.75) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 4h, overbought 4h, downtrend 15m, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.16))) + # downtrend 4h, overbought 4h, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h'])) + # current 4h long relative top wick, overbought 1d, downtrend 15m + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_15m'])) + # current 4h long relative top wick, overbought 4h. overbought 15m + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['not_downtrend_15m'])) + # current 1h long red, overbought 4h, drop 15m, rapid drop in RSI 1h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.06) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['not_downtrend_15m']) + | (((dataframe['rsi_14_1h']) / (dataframe['rsi_14_1h'].shift(12))) > 0.5)) + # current 4h red, downtrend 1h, downtrend 4h, drop in last 48h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # current 4h red with top wick, overbought 4h, overbought 1d, downtrend 1h, downtrend 15m + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_15m'])) + # current 4h red with top wick, downtrend 1h, downtrend 2h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red, downtrend 15m, downtrend 1h, downtrend 4h, CTI 4h not low enough. drop in last 4 days + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.3))) + # downtrend 1h, downtrend 4h, CTI 1h not low enough, drop in last 4 days + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.3))) + # overbought 1d, overbought 4h, downtrend 15m + item_buy_logic.append((dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['not_downtrend_15m'])) + # currend 1d very long green, overbought 1d, overbought 4h, downtrend 1h, CTI 1h not low enouigh + item_buy_logic.append((dataframe['change_pct_1d'] < 0.3) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < -0.5)) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_1d'] < 0.85)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.996)) + item_buy_logic.append(dataframe['rsi_14'] < 40.0) + + # Condition #43 - Quick mode bull. + if index == 43: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + # overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_20_4h'] < -0.5) + | (dataframe['rsi_14_4h'] < 50.0)) + # downtrend 15m, overbought 15m, overbought 15m, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, overbought 1h, overbought 15m, overbought 4h,downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, downtrend 1h, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.8) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 36.0) + | (dataframe['cti_20_4h'] < -0.85) + | (dataframe['cti_20_1d'] < -0.0) + | (dataframe['rsi_14_4h'] < 40.0) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, drop in last 48h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.8) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_1d'] < 75.0)) + # downtrend 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.24))) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.24))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_1d'] < 80.0)) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.92) + | (dataframe['cti_20_4h'] < -0.9) + | (dataframe['cti_20_1d'] < -0.0)) + # downtrend 1h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.75) + | (dataframe['rsi_14_1d'] < 80.0)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.75) + | (dataframe['cti_20_4h'] < 0.70)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.16))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.16))) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_4h'] < -0.9) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 4h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_4h'] < -0.5) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.2))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.5)) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['rsi_14_1d'] < 80.0)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.8) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, big drop in last 24h + item_buy_logic.append((dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.25) + | (dataframe['rsi_14_max_6_4h'] < 80.0) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.5))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h, drop in last 4h + item_buy_logic.append((dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.25) + | (dataframe['cti_20_4h'] < -0.25) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1d'] < -0.0) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['cti_20_1d'] < 0.5)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.8) + | (dataframe['cti_20_4h'] < -0.95) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.25) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.85) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576))) + # current 1d long green with long top wick, downtrend 15m, overbought 15m, overbought 1h, overbought 4hdowntrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.16) + | (dataframe['top_wick_pct_1d'] < 0.16) + | (dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 1h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_26'] * 0.938)) + item_buy_logic.append(dataframe['cti_20'] < -0.75) + item_buy_logic.append(dataframe['r_14'] < -94.0) + + # Condition #44 - Quick mode bull. + if index == 44: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_36_1h'] < (dataframe['close'] * 1.46)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + item_buy_logic.append(dataframe['high_max_24_4h'] < (dataframe['close'] * 1.5)) + item_buy_logic.append(dataframe['high_max_36_4h'] < (dataframe['close'] * 1.7)) + + item_buy_logic.append(dataframe['close_max_48'] > (dataframe['close'] * 1.1)) + + item_buy_logic.append(dataframe['cti_40_1h'] < -0.8) + item_buy_logic.append(dataframe['r_96_1h'] < -70.0) + + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['rsi_3_1h'] > 20.0)) + item_buy_logic.append(dataframe['is_downtrend_5_1h'] == False) + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['r_480_1h'] > -95.0)) + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['r_480_4h'] > -95.0)) + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['r_480_1h'] > -95.0)) + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['r_480_4h'] > -95.0)) + item_buy_logic.append(dataframe['pct_change_high_max_3_36_4h'] > -0.5) + item_buy_logic.append((dataframe['pct_change_high_max_3_36_4h'] > -0.2) + | (dataframe['r_480_4h'] > -80.0)) + + + # Logic + item_buy_logic.append(dataframe['bb20_2_width_1h'] > 0.156) + item_buy_logic.append(dataframe['cti_20'] < -0.88) + item_buy_logic.append(dataframe['r_14'] < -50.0) + + # Condition #51 - Quick mode bear. + if index == 51: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['high_max_24_4h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['cti_20_1h'] < -0.75) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # current 1d long red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.16) + | (dataframe['cti_20_1d'] < 0.85)) + # downtrend 4h, downtrend 1h, downtrend 15, drop in last 4 days + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_15m']) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.24))) + # downtrend4h, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 4h, downtrend 1h, overbought 4h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5)) + # downtrend 4h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.85)) + # downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d red, previous 1d red, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['change_pct_1d'].shift(288) > -0.02) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d relative long top wick, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h'])) + # current 1d red, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1d red, overbought 1d, current 4h red, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.06) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['change_pct_4h'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h'])) + # current 1d green with top wick, overbought 1d, overbought 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.04) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.85)) + # current 4h green, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_1d'] < 85.0)) + + # Logic + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.036)) + item_buy_logic.append(dataframe['close_delta'].gt(dataframe['close'] * 0.02)) + item_buy_logic.append(dataframe['bb40_2_tail'].lt(dataframe['bb40_2_delta'] * 0.4)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['rsi_14'] < 36.0) + + # Condition #52 - Quick mode bear. + if index == 52: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.24)) + item_buy_logic.append(dataframe['high_max_24_4h'] < (dataframe['close'] * 1.5)) + + item_buy_logic.append(dataframe['cti_20_1h'] < -0.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + # downtrend 15m, downtrend 1h, downtrend 4h, drop in last 4 days + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.2))) + # downtrend 15m, downtrend 1h, CTI 1h not low enough + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < -0.5)) + # downtrend 1h, CTI 1h not low enough, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_1d'] < 0.9) + | (dataframe['rsi_14_1d'] < 75.0)) + # current and previous 4h red, downtrend 4h, downtrend 1h, downtrend 15m + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) > -0.04) + | (dataframe['is_downtrend_3_4h'] == False) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_15m'])) + # downtrend 4h, current 1d long red, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.75) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 4h, overbought 4h, downtrend 15m, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.16))) + # downtrend 4h, overbought 4h, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h'])) + # current 4h long relative top wick, overbought 1d, downtrend 15m + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_15m'])) + # current 4h long relative top wick, overbought 4h. overbought 15m + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['not_downtrend_15m'])) + # current 1h long red, overbought 4h, drop 15m, rapid drop in RSI 1h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.06) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['not_downtrend_15m']) + | (((dataframe['rsi_14_1h']) / (dataframe['rsi_14_1h'].shift(12))) > 0.5)) + # current 4h red, downtrend 1h, downtrend 4h, drop in last 48h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # current 4h red with top wick, overbought 4h, overbought 1d, downtrend 1h, downtrend 15m + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_15m'])) + # current 4h red with top wick, downtrend 1h, downtrend 2h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red, downtrend 15m, downtrend 1h, downtrend 4h, CTI 4h not low enough. drop in last 4 days + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.3))) + # downtrend 1h, downtrend 4h, CTI 1h not low enough, drop in last 4 days + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['high_max_24_4h'] < (dataframe['close'] * 1.3))) + # overbought 1d, overbought 4h, downtrend 15m + item_buy_logic.append((dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['not_downtrend_15m'])) + # currend 1d very long green, overbought 1d, overbought 4h, downtrend 1h, CTI 1h not low enouigh + item_buy_logic.append((dataframe['change_pct_1d'] < 0.3) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < -0.5)) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_1d'] < 0.85)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.018)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.996)) + item_buy_logic.append(dataframe['rsi_14'] < 40.0) + + # Condition #53 - Quick mode bear. + if index == 53: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + # overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 50.0) + | (dataframe['cti_20_4h'] < -0.5) + | (dataframe['rsi_14_4h'] < 50.0)) + # downtrend 15m, overbought 15m, overbought 15m, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, overbought 1h, overbought 15m, overbought 4h,downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, downtrend 1h, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.8) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['rsi_14_1h'] < 36.0) + | (dataframe['cti_20_4h'] < -0.85) + | (dataframe['cti_20_1d'] < -0.0) + | (dataframe['rsi_14_4h'] < 40.0) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, drop in last 48h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.8) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_1d'] < 75.0)) + # downtrend 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.24))) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.24))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_1d'] < 80.0)) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.92) + | (dataframe['cti_20_4h'] < -0.9) + | (dataframe['cti_20_1d'] < -0.0)) + # downtrend 1h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.75) + | (dataframe['rsi_14_1d'] < 80.0)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.75) + | (dataframe['cti_20_4h'] < 0.70)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.16))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.16))) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_4h'] < -0.9) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 4h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_4h'] < -0.5) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.2))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.5)) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['rsi_14_1d'] < 80.0)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.8) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, big drop in last 24h + item_buy_logic.append((dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.25) + | (dataframe['rsi_14_max_6_4h'] < 80.0) + | (dataframe['high_max_24_1h'] < (dataframe['close'] * 1.5))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h, drop in last 4h + item_buy_logic.append((dataframe['cti_20_15m'] < -0.5) + | (dataframe['cti_20_1h'] < -0.25) + | (dataframe['cti_20_4h'] < -0.25) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.16))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, drop in last 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.75) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.2))) + # downtrend 15m, downtrend 1h, downtrend 4h, overbought 15m, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1d'] < -0.0) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 15m, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < -0.0) + | (dataframe['cti_20_1d'] < 0.5)) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.0) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + # downtrend 1h, downtrend 4h, overbought 15m, overbought 1h, overbought 4h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_15m'] < -0.75) + | (dataframe['cti_20_1h'] < -0.8) + | (dataframe['cti_20_4h'] < -0.95) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.25) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 15m, downtrend 1h, overbought 15m, overbought 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_15m']) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.5) + | (dataframe['cti_20_4h'] < -0.85) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(576))) + # current 1d long green with long top wick, downtrend 15m, overbought 15m, overbought 1h, overbought 4hdowntrend 4h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.16) + | (dataframe['top_wick_pct_1d'] < 0.16) + | (dataframe['not_downtrend_15m']) + | (dataframe['cti_20_15m'] < -0.9) + | (dataframe['cti_20_1h'] < -0.75) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # downtrend 1h, overbought 15m, overbought 1h, overbought 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_15m'] < -0.0) + | (dataframe['cti_20_1h'] < -0.9) + | (dataframe['cti_20_4h'] < 0.85) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['rsi_14_1d'] < 70.0)) + + # Logic + item_buy_logic.append(dataframe['close'] < (dataframe['ema_26'] * 0.938)) + item_buy_logic.append(dataframe['cti_20'] < -0.75) + item_buy_logic.append(dataframe['r_14'] < -94.0) + + # Condition #54 - Quick mode bear. + if index == 54: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.26)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.4)) + item_buy_logic.append(dataframe['high_max_36_1h'] < (dataframe['close'] * 1.46)) + item_buy_logic.append(dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + item_buy_logic.append(dataframe['high_max_24_4h'] < (dataframe['close'] * 1.5)) + item_buy_logic.append(dataframe['high_max_36_4h'] < (dataframe['close'] * 1.7)) + + item_buy_logic.append(dataframe['close_max_48'] > (dataframe['close'] * 1.1)) + + item_buy_logic.append(dataframe['cti_40_1h'] < -0.8) + item_buy_logic.append(dataframe['r_96_1h'] < -70.0) + + item_buy_logic.append((dataframe['is_downtrend_3_1h'] == False) + | (dataframe['rsi_3_1h'] > 20.0)) + item_buy_logic.append(dataframe['is_downtrend_5_1h'] == False) + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['r_480_1h'] > -95.0)) + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['r_480_4h'] > -95.0)) + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['r_480_1h'] > -95.0)) + item_buy_logic.append((dataframe['not_downtrend_4h']) + | (dataframe['r_480_4h'] > -95.0)) + item_buy_logic.append(dataframe['pct_change_high_max_3_36_4h'] > -0.5) + item_buy_logic.append((dataframe['pct_change_high_max_3_36_4h'] > -0.2) + | (dataframe['r_480_4h'] > -80.0)) + + + # Logic + item_buy_logic.append(dataframe['bb20_2_width_1h'] > 0.156) + item_buy_logic.append(dataframe['cti_20'] < -0.88) + item_buy_logic.append(dataframe['r_14'] < -50.0) + + # Condition #61 - Rebuy mode bull. + if index == 61: + # Protections + item_buy_logic.append(current_free_slots >= self.rebuy_mode_min_free_slots) + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.12)) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.16)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.24)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['hl_pct_change_24_1h'] < 0.5) + item_buy_logic.append(dataframe['hl_pct_change_48_1h'] < 0.75) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.95) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_14_1h'] < -25.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + # current 1h downtrend, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1h red, overbought 1h, downtrend 1h, downtrend 1h, drop last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.04) + | (dataframe['cti_20_1h'] < 0.85) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d green, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] < 0.16) + | (dataframe['cti_20_1d'] < 0.5)) + # current 1d long relative top wick, overbought 1d, current 4h red, drop last 4h + item_buy_logic.append((dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 5.0)) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['change_pct_4h'] > -0.04) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + # downtrend 1d, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red with top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['top_wick_pct_1d'] < 0.02) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d green with top wick, downtrend 4h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1h red, overbought 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.02) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h grered, previous 4h green, overbought 1h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) < 0.04) + | (dataframe['cti_20_1h'] < 0.85) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h red, downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.08))) + # current 1d long red, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.16) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d relative long top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 2.0)) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current and previous 1d red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.0) + | (dataframe['change_pct_1d'].shift(288) > -0.0) + | (dataframe['cti_20_1d'] < 0.85)) + # downtrend 1d, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5)) + # overbought 1d + item_buy_logic.append((dataframe['cti_20_1d'] < 0.9) + | (dataframe['rsi_14_1d'] < 80.0)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.016)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close_delta'] > dataframe['close'] * 12.0 / 1000) + item_buy_logic.append(dataframe['rsi_14'] < 30.0) + + # Condition #71 - Rebuy mode bear. + if index == 71: + # Protections + item_buy_logic.append(current_free_slots >= self.rebuy_mode_min_free_slots) + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.12)) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.16)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.24)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + item_buy_logic.append(dataframe['high_max_24_1h'] < (dataframe['close'] * 1.36)) + item_buy_logic.append(dataframe['hl_pct_change_24_1h'] < 0.5) + item_buy_logic.append(dataframe['hl_pct_change_48_1h'] < 0.75) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.95) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_14_1h'] < -25.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + # current 1h downtrend, downtrend 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 1h red, overbought 1h, downtrend 1h, downtrend 1h, drop last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.04) + | (dataframe['cti_20_1h'] < 0.85) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d green, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] < 0.16) + | (dataframe['cti_20_1d'] < 0.5)) + # current 1d long relative top wick, overbought 1d, current 4h red, drop last 4h + item_buy_logic.append((dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 5.0)) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['change_pct_4h'] > -0.04) + | (dataframe['close_max_48'] < (dataframe['close'] * 1.1))) + # downtrend 1d, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red with top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.02) + | (dataframe['top_wick_pct_1d'] < 0.02) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d green with top wick, downtrend 4h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.06) + | (dataframe['top_wick_pct_1d'] < 0.06) + | (dataframe['is_downtrend_3_4h'] == False) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1h red, overbought 1h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1h'] > -0.02) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h grered, previous 4h green, overbought 1h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['change_pct_4h'].shift(48) < 0.04) + | (dataframe['cti_20_1h'] < 0.85) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152))) + # current 4h red, downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['not_downtrend_1h']) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(1152)) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.08))) + # current 1d long red, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.16) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d relative long top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 2.0)) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 70.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current and previous 1d red, overbought 1d + item_buy_logic.append((dataframe['change_pct_1d'] > -0.0) + | (dataframe['change_pct_1d'].shift(288) > -0.0) + | (dataframe['cti_20_1d'] < 0.85)) + # downtrend 1d, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5)) + # overbought 1d + item_buy_logic.append((dataframe['cti_20_1d'] < 0.9) + | (dataframe['rsi_14_1d'] < 80.0)) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.016)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['close_delta'] > dataframe['close'] * 12.0 / 1000) + item_buy_logic.append(dataframe['rsi_14'] < 30.0) + + # Condition #81 - Long mode bull. + if index == 81: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.12)) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.16)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.24)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.95) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_14_1h'] < -25.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + + # current 4h relative long top wick, overbought 1h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + # current 4h relative long top wick, overbought 1d + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 6.0)) + | (dataframe['cti_20_1d'] < 0.5)) + # current 4h relative long top wick, overbought 1h, downtrend 1h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['not_downtrend_1h'])) + # big drop in last 48h, downtrend 1h + item_buy_logic.append((dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + | (dataframe['not_downtrend_1h'])) + # downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 1h, overbought 1h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < 0.5)) + # downtrend 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5)) + # downtrend 1h, downtrend 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_1d'] < 0.5)) + # downtrend 1d, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5)) + # downtrend 1d, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['not_downtrend_1h'])) + # current 4h red, previous 4h green, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['change_pct_4h'].shift(48) < 0.06) + | (dataframe['cti_20_4h'] < 0.5)) + # current 1d long green with long top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # current 1d long 1d with top wick, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h'])) + # current 1d long red, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.1) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h'])) + + # Logic + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.052)) + item_buy_logic.append(dataframe['close_delta'].gt(dataframe['close'] * 0.024)) + item_buy_logic.append(dataframe['bb40_2_tail'].lt(dataframe['bb40_2_delta'] * 0.2)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['rsi_14'] < 30.0) + + # Condition #82 - Long mode bull. + if index == 82: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h']) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + + item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + item_buy_logic.append(dataframe['sma_50_1h'] > dataframe['sma_200_1h']) + + item_buy_logic.append(dataframe['ema_50_4h'] > dataframe['ema_200_4h']) + item_buy_logic.append(dataframe['sma_50_4h'] > dataframe['sma_200_4h']) + + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_480_4h'] < -10.0) + + # current 1d long green with long top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # overbought 1d, overbought 4h, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['rsi_14_1d'] < 70.0) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red, downtrend 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h long red, downtrend 1h, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.12) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1d'] < 0.8) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red, overbought 1d, downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['is_downtrend_3_4h'] == False) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red, overbought 1d, downtrend 1h, current 4h red, previous 4h green with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.08) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['change_pct_4h'] > -0.0) + | (dataframe['change_pct_4h'].shift(48) < 0.04) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.04)) + # current 1d long red with long top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['top_wick_pct_1d'] < 0.12) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d long red, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.16) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_1d'] < 0.85)) + # current 4h green with top wick, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h red, downtrend 1h, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1d'] < 0.5)) + # current 1d long relative top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h relative long top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 50.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current and previous 1d red, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['change_pct_1d'].shift(288) > -0.04) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h long green, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.08) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['cti_20'] < -0.8) + + # Condition #91 - Long mode bear. + if index == 91: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_12'] < (dataframe['close'] * 1.12)) + item_buy_logic.append(dataframe['close_max_24'] < (dataframe['close'] * 1.16)) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_6_1h'] < (dataframe['close'] * 1.24)) + + item_buy_logic.append(dataframe['cti_20_1h'] < 0.95) + item_buy_logic.append(dataframe['cti_20_4h'] < 0.95) + item_buy_logic.append(dataframe['rsi_14_1h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_14_1h'] < -25.0) + item_buy_logic.append(dataframe['r_14_4h'] < -25.0) + + item_buy_logic.append(dataframe['pct_change_high_max_6_24_1h'] > -0.3) + item_buy_logic.append(dataframe['pct_change_high_max_3_12_4h'] > -0.4) + + item_buy_logic.append(dataframe['not_downtrend_15m']) + + # current 4h relative long top wick, overbought 1h, downtrend 1h, downtrend 4h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(288)) + | (dataframe['ema_200_4h'] > dataframe['ema_200_4h'].shift(576))) + # current 4h relative long top wick, overbought 1d + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 6.0)) + | (dataframe['cti_20_1d'] < 0.5)) + # current 4h relative long top wick, overbought 1h, downtrend 1h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 2.0)) + | (dataframe['cti_20_1h'] < 0.5) + | (dataframe['not_downtrend_1h'])) + # big drop in last 48h, downtrend 1h + item_buy_logic.append((dataframe['high_max_48_1h'] < (dataframe['close'] * 1.5)) + | (dataframe['not_downtrend_1h'])) + # downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # downtrend 1h, overbought 1h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1h'] < 0.5)) + # downtrend 1h, overbought 4h + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5)) + # downtrend 1h, downtrend 4h, overbought 1d + item_buy_logic.append((dataframe['not_downtrend_1h']) + | (dataframe['not_downtrend_4h']) + | (dataframe['cti_20_1d'] < 0.5)) + # downtrend 1d, overbought 1d + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['cti_20_1d'] < 0.5)) + # downtrend 1d, downtrend 1h + item_buy_logic.append((dataframe['is_downtrend_3_1d'] == False) + | (dataframe['not_downtrend_1h'])) + # current 4h red, previous 4h green, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['change_pct_4h'].shift(48) < 0.06) + | (dataframe['cti_20_4h'] < 0.5)) + # current 1d long green with long top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # current 1d long 1d with top wick, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.2) + | (dataframe['top_wick_pct_1d'] < 0.04) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h'])) + # current 1d long red, overbought 1d, downtrend 1h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.1) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['not_downtrend_1h'])) + + # Logic + item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.052)) + item_buy_logic.append(dataframe['close_delta'].gt(dataframe['close'] * 0.024)) + item_buy_logic.append(dataframe['bb40_2_tail'].lt(dataframe['bb40_2_delta'] * 0.2)) + item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) + item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) + item_buy_logic.append(dataframe['rsi_14'] < 30.0) + + # Condition #92 - Long mode bear. + if index == 92: + # Protections + item_buy_logic.append(dataframe['btc_is_bull_4h'] == False) + item_buy_logic.append(dataframe['btc_pct_close_max_24_5m'] < 0.03) + item_buy_logic.append(dataframe['btc_pct_close_max_72_5m'] < 0.03) + item_buy_logic.append(dataframe['close_max_48'] < (dataframe['close'] * 1.2)) + item_buy_logic.append(dataframe['high_max_12_1h'] < (dataframe['close'] * 1.3)) + + item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) + item_buy_logic.append(dataframe['sma_50_1h'] > dataframe['sma_200_1h']) + + item_buy_logic.append(dataframe['ema_50_4h'] > dataframe['ema_200_4h']) + item_buy_logic.append(dataframe['sma_50_4h'] > dataframe['sma_200_4h']) + + item_buy_logic.append(dataframe['rsi_14_4h'] < 85.0) + item_buy_logic.append(dataframe['rsi_14_1d'] < 85.0) + item_buy_logic.append(dataframe['r_480_4h'] < -10.0) + + # current 1d long green with long top wick + item_buy_logic.append((dataframe['change_pct_1d'] < 0.12) + | (dataframe['top_wick_pct_1d'] < 0.12)) + # overbought 1d, overbought 4h, downtrend 1h, drop in last 2h + item_buy_logic.append((dataframe['rsi_14_1d'] < 70.0) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['not_downtrend_1h']) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red, downtrend 1h, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.06) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_4h'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h long red, downtrend 1h, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_4h'] > -0.12) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1d'] < 0.8) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red, overbought 1d, downtrend 1h, downtrend 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['is_downtrend_3_4h'] == False) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d red, overbought 1d, downtrend 1h, current 4h red, previous 4h green with top wick + item_buy_logic.append((dataframe['change_pct_1d'] > -0.08) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['not_downtrend_1h']) + | (dataframe['change_pct_4h'] > -0.0) + | (dataframe['change_pct_4h'].shift(48) < 0.04) + | (dataframe['top_wick_pct_4h'].shift(48) < 0.04)) + # current 1d long red with long top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.12) + | (dataframe['top_wick_pct_1d'] < 0.12) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 1d long red, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.16) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h red with top wick, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['cti_20_1d'] < 0.85)) + # current 4h green with top wick, overbought 4h + item_buy_logic.append((dataframe['change_pct_4h'] < 0.04) + | (dataframe['top_wick_pct_4h'] < 0.04) + | (dataframe['rsi_14_4h'] < 70.0)) + # current 4h red, downtrend 1h, overbought 1d + item_buy_logic.append((dataframe['change_pct_4h'] > -0.04) + | (dataframe['not_downtrend_1h']) + | (dataframe['cti_20_1d'] < 0.5)) + # current 1d long relative top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['top_wick_pct_1d'] < (abs(dataframe['change_pct_1d']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h relative long top wick, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['top_wick_pct_4h'] < (abs(dataframe['change_pct_4h']) * 4.0)) + | (dataframe['cti_20_1d'] < 0.85) + | (dataframe['rsi_14_1d'] < 50.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current and previous 1d red, overbought 1d, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] > -0.04) + | (dataframe['change_pct_1d'].shift(288) > -0.04) + | (dataframe['cti_20_1d'] < 0.5) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + # current 4h long green, overbought 4h, drop in last 2h + item_buy_logic.append((dataframe['change_pct_1d'] < 0.08) + | (dataframe['rsi_14_4h'] < 70.0) + | (dataframe['close_max_24'] < (dataframe['close'] * 1.1))) + + # Logic + item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) + item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.03)) + item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) + item_buy_logic.append(dataframe['cti_20'] < -0.8) + + item_buy_logic.append(dataframe['volume'] > 0) + item_buy = reduce(lambda x, y: x & y, item_buy_logic) + dataframe.loc[item_buy, 'enter_tag'] += f"{index} " + conditions.append(item_buy) + dataframe.loc[:, 'enter_long'] = item_buy + + if conditions: + dataframe.loc[:, 'enter_long'] = reduce(lambda x, y: x | y, conditions) + + return dataframe + + def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + dataframe.loc[:, 'exit_long'] = 0 + dataframe.loc[:, 'exit_short'] = 0 + + return dataframe + + def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float, + time_in_force: str, current_time: datetime, entry_tag: Optional[str], + **kwargs) -> bool: + # allow force entries + if (entry_tag == 'force_entry'): + return True + + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + + if(len(dataframe) < 1): + return False + + dataframe = dataframe.iloc[-1].squeeze() + + if ((rate > dataframe['close'])): + slippage = ((rate / dataframe['close']) - 1.0) + + if slippage < 0.038: + return True + else: + log.warning( + "Cancelling buy for %s due to slippage %s", + pair, slippage + ) + return False + + return True + + def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float, + rate: float, time_in_force: str, exit_reason: str, + current_time: datetime, **kwargs) -> bool: + # Allow force exits + if exit_reason != 'force_exit': + if self._should_hold_trade(trade, rate, exit_reason): + return False + if self.exit_profit_only: + current_profit = ((rate - trade.open_rate) / trade.open_rate) + if (current_profit < self.exit_profit_offset): + return False + + self._remove_profit_target(pair) + return True + + def bot_loop_start(self, **kwargs) -> None: + if self.config["runmode"].value not in ("live", "dry_run"): + return super().bot_loop_start(**kwargs) + + if self.hold_support_enabled: + self.load_hold_trades_config() + + return super().bot_loop_start(**kwargs) + + def _set_profit_target(self, pair: str, sell_reason: str, rate: float, current_profit: float, current_time: datetime): + self.target_profit_cache.data[pair] = { + "rate": rate, + "profit": current_profit, + "sell_reason": sell_reason, + "time_profit_reached": current_time.isoformat() + } + self.target_profit_cache.save() + + def _remove_profit_target(self, pair: str): + if self.target_profit_cache is not None: + self.target_profit_cache.data.pop(pair, None) + self.target_profit_cache.save() + + def get_hold_trades_config_file(self): + proper_holds_file_path = self.config["user_data_dir"].resolve() / "nfi-hold-trades.json" + if proper_holds_file_path.is_file(): + return proper_holds_file_path + + strat_file_path = pathlib.Path(__file__) + hold_trades_config_file_resolve = strat_file_path.resolve().parent / "hold-trades.json" + if hold_trades_config_file_resolve.is_file(): + log.warning( + "Please move %s to %s which is now the expected path for the holds file", + hold_trades_config_file_resolve, + proper_holds_file_path, + ) + return hold_trades_config_file_resolve + + # The resolved path does not exist, is it a symlink? + hold_trades_config_file_absolute = strat_file_path.absolute().parent / "hold-trades.json" + if hold_trades_config_file_absolute.is_file(): + log.warning( + "Please move %s to %s which is now the expected path for the holds file", + hold_trades_config_file_absolute, + proper_holds_file_path, + ) + return hold_trades_config_file_absolute + + def load_hold_trades_config(self): + if self.hold_trades_cache is None: + hold_trades_config_file = self.get_hold_trades_config_file() + if hold_trades_config_file: + log.warning("Loading hold support data from %s", hold_trades_config_file) + self.hold_trades_cache = HoldsCache(hold_trades_config_file) + + if self.hold_trades_cache: + self.hold_trades_cache.load() + + def _should_hold_trade(self, trade: "Trade", rate: float, sell_reason: str) -> bool: + if self.config['runmode'].value not in ('live', 'dry_run'): + return False + + if not self.hold_support_enabled: + return False + + # Just to be sure our hold data is loaded, should be a no-op call after the first bot loop + self.load_hold_trades_config() + + if not self.hold_trades_cache: + # Cache hasn't been setup, likely because the corresponding file does not exist, sell + return False + + if not self.hold_trades_cache.data: + # We have no pairs we want to hold until profit, sell + return False + + # By default, no hold should be done + hold_trade = False + + trade_ids: dict = self.hold_trades_cache.data.get("trade_ids") + if trade_ids and trade.id in trade_ids: + trade_profit_ratio = trade_ids[trade.id] + current_profit_ratio = trade.calc_profit_ratio(rate) + if sell_reason == "force_sell": + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Force selling %s even though the current profit of %s < %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + elif current_profit_ratio >= trade_profit_ratio: + # This pair is on the list to hold, and we reached minimum profit, sell + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Selling %s because the current profit of %s >= %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + + # This pair is on the list to hold, and we haven't reached minimum profit, hold + hold_trade = True + + trade_pairs: dict = self.hold_trades_cache.data.get("trade_pairs") + if trade_pairs and trade.pair in trade_pairs: + trade_profit_ratio = trade_pairs[trade.pair] + current_profit_ratio = trade.calc_profit_ratio(rate) + if sell_reason == "force_sell": + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Force selling %s even though the current profit of %s < %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + elif current_profit_ratio >= trade_profit_ratio: + # This pair is on the list to hold, and we reached minimum profit, sell + formatted_profit_ratio = f"{trade_profit_ratio * 100}%" + formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" + log.warning( + "Selling %s because the current profit of %s >= %s", + trade, formatted_current_profit_ratio, formatted_profit_ratio + ) + return False + + # This pair is on the list to hold, and we haven't reached minimum profit, hold + hold_trade = True + + return hold_trade + +# +---------------------------------------------------------------------------+ +# | Custom Indicators | +# +---------------------------------------------------------------------------+ + +# Range midpoint acts as Support +def is_support(row_data) -> bool: + conditions = [] + for row in range(len(row_data)-1): + if row < len(row_data)//2: + conditions.append(row_data[row] > row_data[row+1]) + else: + conditions.append(row_data[row] < row_data[row+1]) + result = reduce(lambda x, y: x & y, conditions) + return result + +# Range midpoint acts as Resistance +def is_resistance(row_data) -> bool: + conditions = [] + for row in range(len(row_data)-1): + if row < len(row_data)//2: + conditions.append(row_data[row] < row_data[row+1]) + else: + conditions.append(row_data[row] > row_data[row+1]) + result = reduce(lambda x, y: x & y, conditions) + return result + +# Elliot Wave Oscillator +def ewo(dataframe, sma1_length=5, sma2_length=35): + sma1 = ta.EMA(dataframe, timeperiod=sma1_length) + sma2 = ta.EMA(dataframe, timeperiod=sma2_length) + smadif = (sma1 - sma2) / dataframe['close'] * 100 + return smadif + +# Chaikin Money Flow +def chaikin_money_flow(dataframe, n=20, fillna=False) -> Series: + """Chaikin Money Flow (CMF) + It measures the amount of Money Flow Volume over a specific period. + http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf + Args: + dataframe(pandas.Dataframe): dataframe containing ohlcv + n(int): n period. + fillna(bool): if True, fill nan values. + Returns: + pandas.Series: New feature generated. + """ + mfv = ((dataframe['close'] - dataframe['low']) - (dataframe['high'] - dataframe['close'])) / (dataframe['high'] - dataframe['low']) + mfv = mfv.fillna(0.0) # float division by zero + mfv *= dataframe['volume'] + cmf = (mfv.rolling(n, min_periods=0).sum() + / dataframe['volume'].rolling(n, min_periods=0).sum()) + if fillna: + cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0) + return Series(cmf, name='cmf') + +# Williams %R +def williams_r(dataframe: DataFrame, period: int = 14) -> Series: + """Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low + of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams. + Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between, + of its recent trading range. + The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest). + """ + + highest_high = dataframe["high"].rolling(center=False, window=period).max() + lowest_low = dataframe["low"].rolling(center=False, window=period).min() + + WR = Series( + (highest_high - dataframe["close"]) / (highest_high - lowest_low), + name=f"{period} Williams %R", + ) + + return WR * -100 + +# Volume Weighted Moving Average +def vwma(dataframe: DataFrame, length: int = 10): + """Indicator: Volume Weighted Moving Average (VWMA)""" + # Calculate Result + pv = dataframe['close'] * dataframe['volume'] + vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe['volume'], timeperiod=length)) + vwma = vwma.fillna(0, inplace=True) + return vwma + +# Exponential moving average of a volume weighted simple moving average +def ema_vwma_osc(dataframe, len_slow_ma): + slow_ema = Series(ta.EMA(vwma(dataframe, len_slow_ma), len_slow_ma)) + return ((slow_ema - slow_ema.shift(1)) / slow_ema.shift(1)) * 100 + +def t3_average(dataframe, length=5): + """ + T3 Average by HPotter on Tradingview + https://www.tradingview.com/script/qzoC9H1I-T3-Average/ + """ + df = dataframe.copy() + + df['xe1'] = ta.EMA(df['close'], timeperiod=length) + df['xe1'].fillna(0, inplace=True) + df['xe2'] = ta.EMA(df['xe1'], timeperiod=length) + df['xe2'].fillna(0, inplace=True) + df['xe3'] = ta.EMA(df['xe2'], timeperiod=length) + df['xe3'].fillna(0, inplace=True) + df['xe4'] = ta.EMA(df['xe3'], timeperiod=length) + df['xe4'].fillna(0, inplace=True) + df['xe5'] = ta.EMA(df['xe4'], timeperiod=length) + df['xe5'].fillna(0, inplace=True) + df['xe6'] = ta.EMA(df['xe5'], timeperiod=length) + df['xe6'].fillna(0, inplace=True) + b = 0.7 + c1 = -b * b * b + c2 = 3 * b * b + 3 * b * b * b + c3 = -6 * b * b - 3 * b - 3 * b * b * b + c4 = 1 + 3 * b + b * b * b + 3 * b * b + df['T3Average'] = c1 * df['xe6'] + c2 * df['xe5'] + c3 * df['xe4'] + c4 * df['xe3'] + + return df['T3Average'] + +# Pivot Points - 3 variants - daily recommended +def pivot_points(dataframe: DataFrame, mode = 'fibonacci') -> Series: + if mode == 'simple': + hlc3_pivot = (dataframe['high'] + dataframe['low'] + dataframe['close']).shift(1) / 3 + res1 = hlc3_pivot * 2 - dataframe['low'].shift(1) + sup1 = hlc3_pivot * 2 - dataframe['high'].shift(1) + res2 = hlc3_pivot + (dataframe['high'] - dataframe['low']).shift() + sup2 = hlc3_pivot - (dataframe['high'] - dataframe['low']).shift() + res3 = hlc3_pivot * 2 + (dataframe['high'] - 2 * dataframe['low']).shift() + sup3 = hlc3_pivot * 2 - (2 * dataframe['high'] - dataframe['low']).shift() + return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 + elif mode == 'fibonacci': + hlc3_pivot = (dataframe['high'] + dataframe['low'] + dataframe['close']).shift(1) / 3 + hl_range = (dataframe['high'] - dataframe['low']).shift(1) + res1 = hlc3_pivot + 0.382 * hl_range + sup1 = hlc3_pivot - 0.382 * hl_range + res2 = hlc3_pivot + 0.618 * hl_range + sup2 = hlc3_pivot - 0.618 * hl_range + res3 = hlc3_pivot + 1 * hl_range + sup3 = hlc3_pivot - 1 * hl_range + return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 + elif mode == 'DeMark': + demark_pivot_lt = (dataframe['low'] * 2 + dataframe['high'] + dataframe['close']) + demark_pivot_eq = (dataframe['close'] * 2 + dataframe['low'] + dataframe['high']) + demark_pivot_gt = (dataframe['high'] * 2 + dataframe['low'] + dataframe['close']) + demark_pivot = np.where((dataframe['close'] < dataframe['open']), demark_pivot_lt, np.where((dataframe['close'] > dataframe['open']), demark_pivot_gt, demark_pivot_eq)) + dm_pivot = demark_pivot / 4 + dm_res = demark_pivot / 2 - dataframe['low'] + dm_sup = demark_pivot / 2 - dataframe['high'] + return dm_pivot, dm_res, dm_sup + +# Heikin Ashi candles +def heikin_ashi(dataframe, smooth_inputs = False, smooth_outputs = False, length = 10): + df = dataframe[['open','close','high','low']].copy().fillna(0) + if smooth_inputs: + df['open_s'] = ta.EMA(df['open'], timeframe = length) + df['high_s'] = ta.EMA(df['high'], timeframe = length) + df['low_s'] = ta.EMA(df['low'], timeframe = length) + df['close_s'] = ta.EMA(df['close'],timeframe = length) + + open_ha = (df['open_s'].shift(1) + df['close_s'].shift(1)) / 2 + high_ha = df.loc[:, ['high_s', 'open_s', 'close_s']].max(axis=1) + low_ha = df.loc[:, ['low_s', 'open_s', 'close_s']].min(axis=1) + close_ha = (df['open_s'] + df['high_s'] + df['low_s'] + df['close_s'])/4 + else: + open_ha = (df['open'].shift(1) + df['close'].shift(1)) / 2 + high_ha = df.loc[:, ['high', 'open', 'close']].max(axis=1) + low_ha = df.loc[:, ['low', 'open', 'close']].min(axis=1) + close_ha = (df['open'] + df['high'] + df['low'] + df['close'])/4 + + open_ha = open_ha.fillna(0) + high_ha = high_ha.fillna(0) + low_ha = low_ha.fillna(0) + close_ha = close_ha.fillna(0) + + if smooth_outputs: + open_sha = ta.EMA(open_ha, timeframe = length) + high_sha = ta.EMA(high_ha, timeframe = length) + low_sha = ta.EMA(low_ha, timeframe = length) + close_sha = ta.EMA(close_ha, timeframe = length) + + return open_sha, close_sha, low_sha + else: + return open_ha, close_ha, low_ha + +# Peak Percentage Change +def range_percent_change(self, dataframe: DataFrame, method, length: int) -> float: + """ + Rolling Percentage Change Maximum across interval. + + :param dataframe: DataFrame The original OHLC dataframe + :param method: High to Low / Open to Close + :param length: int The length to look back + """ + if method == 'HL': + return (dataframe['high'].rolling(length).max() - dataframe['low'].rolling(length).min()) / dataframe['low'].rolling(length).min() + elif method == 'OC': + return (dataframe['open'].rolling(length).max() - dataframe['close'].rolling(length).min()) / dataframe['close'].rolling(length).min() + else: + raise ValueError(f"Method {method} not defined!") + +# Percentage distance to top peak +def top_percent_change(self, dataframe: DataFrame, length: int) -> float: + """ + Percentage change of the current close from the range maximum Open price + + :param dataframe: DataFrame The original OHLC dataframe + :param length: int The length to look back + """ + if length == 0: + return (dataframe['open'] - dataframe['close']) / dataframe['close'] + else: + return (dataframe['open'].rolling(length).max() - dataframe['close']) / dataframe['close'] + + # +---------------------------------------------------------------------------+ +# | Classes | +# +---------------------------------------------------------------------------+ + +class Cache: + + def __init__(self, path): + self.path = path + self.data = {} + self._mtime = None + self._previous_data = {} + try: + self.load() + except FileNotFoundError: + pass + + @staticmethod + def rapidjson_load_kwargs(): + return {"number_mode": rapidjson.NM_NATIVE} + + @staticmethod + def rapidjson_dump_kwargs(): + return {"number_mode": rapidjson.NM_NATIVE} + + def load(self): + if not self._mtime or self.path.stat().st_mtime_ns != self._mtime: + self._load() + + def save(self): + if self.data != self._previous_data: + self._save() + + def process_loaded_data(self, data): + return data + + def _load(self): + # This method only exists to simplify unit testing + with self.path.open("r") as rfh: + try: + data = rapidjson.load( + rfh, + **self.rapidjson_load_kwargs() + ) + except rapidjson.JSONDecodeError as exc: + log.error("Failed to load JSON from %s: %s", self.path, exc) + else: + self.data = self.process_loaded_data(data) + self._previous_data = copy.deepcopy(self.data) + self._mtime = self.path.stat().st_mtime_ns + + def _save(self): + # This method only exists to simplify unit testing + rapidjson.dump( + self.data, + self.path.open("w"), + **self.rapidjson_dump_kwargs() + ) + self._mtime = self.path.stat().st_mtime + self._previous_data = copy.deepcopy(self.data) + +class HoldsCache(Cache): + + @staticmethod + def rapidjson_load_kwargs(): + return { + "number_mode": rapidjson.NM_NATIVE, + "object_hook": HoldsCache._object_hook, + } + + @staticmethod + def rapidjson_dump_kwargs(): + return { + "number_mode": rapidjson.NM_NATIVE, + "mapping_mode": rapidjson.MM_COERCE_KEYS_TO_STRINGS, + } + + def save(self): + raise RuntimeError("The holds cache does not allow programatical save") + + def process_loaded_data(self, data): + trade_ids = data.get("trade_ids") + trade_pairs = data.get("trade_pairs") + + if not trade_ids and not trade_pairs: + return data + + open_trades = {} + for trade in Trade.get_trades_proxy(is_open=True): + open_trades[trade.id] = open_trades[trade.pair] = trade + + r_trade_ids = {} + if trade_ids: + if isinstance(trade_ids, dict): + # New syntax + for trade_id, profit_ratio in trade_ids.items(): + if not isinstance(trade_id, int): + log.error( + "The trade_id(%s) defined under 'trade_ids' in %s is not an integer", + trade_id, self.path + ) + continue + if not isinstance(profit_ratio, float): + log.error( + "The 'profit_ratio' config value(%s) for trade_id %s in %s is not a float", + profit_ratio, + trade_id, + self.path + ) + if trade_id in open_trades: + formatted_profit_ratio = f"{profit_ratio * 100}%" + log.warning( + "The trade %s is configured to HOLD until the profit ratio of %s is met", + open_trades[trade_id], + formatted_profit_ratio + ) + r_trade_ids[trade_id] = profit_ratio + else: + log.warning( + "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", + trade_id, + self.path + ) + else: + # Initial Syntax + profit_ratio = data.get("profit_ratio") + if profit_ratio: + if not isinstance(profit_ratio, float): + log.error( + "The 'profit_ratio' config value(%s) in %s is not a float", + profit_ratio, + self.path + ) + else: + profit_ratio = 0.005 + formatted_profit_ratio = f"{profit_ratio * 100}%" + for trade_id in trade_ids: + if not isinstance(trade_id, int): + log.error( + "The trade_id(%s) defined under 'trade_ids' in %s is not an integer", + trade_id, self.path + ) + continue + if trade_id in open_trades: + log.warning( + "The trade %s is configured to HOLD until the profit ratio of %s is met", + open_trades[trade_id], + formatted_profit_ratio + ) + r_trade_ids[trade_id] = profit_ratio + else: + log.warning( + "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", + trade_id, + self.path + ) + + r_trade_pairs = {} + if trade_pairs: + for trade_pair, profit_ratio in trade_pairs.items(): + if not isinstance(trade_pair, str): + log.error( + "The trade_pair(%s) defined under 'trade_pairs' in %s is not a string", + trade_pair, self.path + ) + continue + if "/" not in trade_pair: + log.error( + "The trade_pair(%s) defined under 'trade_pairs' in %s does not look like " + "a valid '/' formatted pair.", + trade_pair, self.path + ) + continue + if not isinstance(profit_ratio, float): + log.error( + "The 'profit_ratio' config value(%s) for trade_pair %s in %s is not a float", + profit_ratio, + trade_pair, + self.path + ) + formatted_profit_ratio = f"{profit_ratio * 100}%" + if trade_pair in open_trades: + log.warning( + "The trade %s is configured to HOLD until the profit ratio of %s is met", + open_trades[trade_pair], + formatted_profit_ratio + ) + else: + log.warning( + "The trade pair %s is configured to HOLD until the profit ratio of %s is met", + trade_pair, + formatted_profit_ratio + ) + r_trade_pairs[trade_pair] = profit_ratio + + r_data = {} + if r_trade_ids: + r_data["trade_ids"] = r_trade_ids + if r_trade_pairs: + r_data["trade_pairs"] = r_trade_pairs + return r_data + + @staticmethod + def _object_hook(data): + _data = {} + for key, value in data.items(): + try: + key = int(key) + except ValueError: + pass + _data[key] = value + return _data diff --git a/strategies/ROuGGy.py b/strategies/ROuGGy.py new file mode 100755 index 0000000..cf6be3d --- /dev/null +++ b/strategies/ROuGGy.py @@ -0,0 +1,595 @@ +import freqtrade.vendor.qtpylib.indicators as qtpylib +import numpy as np +import talib.abstract as ta +from freqtrade.persistence import Trade +from freqtrade.strategy.interface import IStrategy +from pandas import DataFrame +from datetime import datetime, timedelta +from freqtrade.strategy import merge_informative_pair, CategoricalParameter, DecimalParameter, IntParameter +from functools import reduce + + +########################################################################################################### +## BigZ06 by ilya ## +## ## +## https://github.com/i1ya/freqtrade-strategies ## +## The stratagy most inspired by iterativ (authors of the CombinedBinHAndClucV6) ## +## ## ## +########################################################################################################### +## The main point of this strat is: ## +## - make drawdown as low as possible ## +## - buy at dip ## +## - sell quick as fast as you can (release money for the next buy) ## +## - soft check if market if rising ## +## - hard check is market if fallen ## +## - 14 buy signals ## +## - stoploss function preventing from big fall ## +## - no sell signal. Whether ROI or stoploss =) ## +## ## +########################################################################################################### +## GENERAL RECOMMENDATIONS ## +## ## +## For optimal performance, suggested to use between 3 and 5 open trades. ## +## ## +## As a pairlist you can use VolumePairlist. ## +## ## +## Ensure that you don't override any variables in your config.json. Especially ## +## the timeframe (must be 5m). ## +## ## +## sell_profit_only: ## +## True - risk more (gives you higher profit and higher Drawdown) ## +## False (default) - risk less (gives you less ~10-15% profit and much lower Drawdown) ## +## ## +## BigZ06 using market orders. ## +## Ensure you're familar with https://www.freqtrade.io/en/stable/configuration/#market-order-pricing ## +## ## +########################################################################################################### +## DONATIONS 2 @iterativ (author of the original strategy) ## +## ## +## Absolutely not required. However, will be accepted as a token of appreciation. ## +## ## +## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## +## ETH: 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## +## ## +########################################################################################################### + + +class ROuGGy(IStrategy): + INTERFACE_VERSION = 2 + + minimal_roi = { + "0": 0.028, # I feel lucky! + "10": 0.018, + "40": 0.005, + "180": 0.018, # We're going up? + } + + + stoploss = -0.99 # effectively disabled. + + timeframe = '5m' + inf_1h = '1h' + + # Sell signal + use_exit_signal = True + exit_profit_only = False + exit_profit_offset = 0.001 # it doesn't meant anything, just to guarantee there is a minimal profit. + ignore_roi_if_entry_signal = False + + # Trailing stoploss + trailing_stop = False + trailing_only_offset_is_reached = False + trailing_stop_positive = 0.01 + trailing_stop_positive_offset = 0.025 + + # Custom stoploss + use_custom_stoploss = True + + # Run "populate_indicators()" only for new candle. + process_only_new_candles = True + + # Number of candles the strategy requires before producing valid signals + startup_candle_count: int = 200 + + # Optional order type mapping. + order_types = { + 'entry': 'market', + 'exit': 'market', + 'stoploss': 'market', + 'stoploss_on_exchange': False + } + + + buy_params = { + ############# + # Enable/Disable conditions + "buy_condition_0_enable": True, + "buy_condition_1_enable": True, + "buy_condition_2_enable": True, + "buy_condition_3_enable": True, + "buy_condition_4_enable": True, + "buy_condition_5_enable": True, + "buy_condition_6_enable": True, + "buy_condition_7_enable": True, + "buy_condition_8_enable": True, + "buy_condition_9_enable": True, + "buy_condition_10_enable": True, + "buy_condition_11_enable": True, + "buy_condition_12_enable": True, + "buy_condition_13_enable": True, + "buy_condition_14_enable": True, + } + + ############################################################################ + + # Buy + + buy_condition_0_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_1_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_2_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_3_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_4_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_5_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_6_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_7_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_8_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_9_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_10_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_11_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_12_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_13_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + buy_condition_14_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) + + buy_bb20_close_bblowerband_safe_1 = DecimalParameter(0.7, 1.1, default=0.989, space='buy', optimize=False, load=True) + buy_bb20_close_bblowerband_safe_2 = DecimalParameter(0.7, 1.1, default=0.982, space='buy', optimize=False, load=True) + + buy_volume_pump_1 = DecimalParameter(0.1, 0.9, default=0.4, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_1 = DecimalParameter(1, 10, default=3.8, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_2 = DecimalParameter(1, 10, default=3, space='buy', decimals=1, optimize=False, load=True) + buy_volume_drop_3 = DecimalParameter(1, 10, default=2.7, space='buy', decimals=1, optimize=False, load=True) + + buy_rsi_1h_1 = DecimalParameter(10.0, 40.0, default=16.5, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_2 = DecimalParameter(10.0, 40.0, default=15.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_3 = DecimalParameter(10.0, 40.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_4 = DecimalParameter(10.0, 40.0, default=35.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_1h_5 = DecimalParameter(10.0, 60.0, default=39.0, space='buy', decimals=1, optimize=False, load=True) + + buy_rsi_1 = DecimalParameter(10.0, 40.0, default=28.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_2 = DecimalParameter(7.0, 40.0, default=10.0, space='buy', decimals=1, optimize=False, load=True) + buy_rsi_3 = DecimalParameter(7.0, 40.0, default=14.2, space='buy', decimals=1, optimize=False, load=True) + + buy_macd_1 = DecimalParameter(0.01, 0.09, default=0.02, space='buy', decimals=2, optimize=False, load=True) + buy_macd_2 = DecimalParameter(0.01, 0.09, default=0.03, space='buy', decimals=2, optimize=False, load=True) + + def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float, + rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool: + + return True + + + def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, + current_profit: float, **kwargs): + + return False + + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + last_candle = dataframe.iloc[-1].squeeze() + last_candle_2 = dataframe.iloc[-2].squeeze() + + if (last_candle is not None): + if (last_candle['high'] > last_candle['bb_upperband']) & (last_candle['volume'] > (last_candle_2['volume'] * 1.5)): + return 'sell_signal_1' + + return False + + + def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime, + current_rate: float, current_profit: float, **kwargs) -> float: + # Manage losing trades and open room for better ones. + + if (current_profit > 0): + return 0.99 + else: + trade_time_50 = trade.open_date_utc + timedelta(minutes=50) + + # Trade open more then 60 minutes. For this strategy it's means -> loss + # Let's try to minimize the loss + + if (current_time > trade_time_50): + + try: + number_of_candle_shift = int((current_time - trade_time_50).total_seconds() / 300) + dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) + candle = dataframe.iloc[-number_of_candle_shift].squeeze() + + # We are at bottom. Wait... + if candle['rsi_1h'] < 40: + return 0.99 + + # Are we still sinking? + if candle['close'] > candle['ema_200']: + if current_rate * 1.035 < candle['open']: + return 0.01 + + if current_rate * 1.025 < candle['open']: + return 0.01 + + except IndexError as error: + + # Whoops, set stoploss at 10% + return 0.1 + + return 0.99 + + def informative_pairs(self): + pairs = self.dp.current_whitelist() + informative_pairs = [(pair, '1h') for pair in pairs] + return informative_pairs + + def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + assert self.dp, "DataProvider is required for multiple timeframes." + # Get the informative pair + informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.inf_1h) + # EMA + informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) + informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) + # RSI + informative_1h['rsi'] = ta.RSI(informative_1h, timeperiod=14) + + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + informative_1h['bb_lowerband'] = bollinger['lower'] + informative_1h['bb_middleband'] = bollinger['mid'] + informative_1h['bb_upperband'] = bollinger['upper'] + + return informative_1h + + def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + dataframe['bb_lowerband'] = bollinger['lower'] + dataframe['bb_middleband'] = bollinger['mid'] + dataframe['bb_upperband'] = bollinger['upper'] + + dataframe['volume_mean_slow'] = dataframe['volume'].rolling(window=48).mean() + + # EMA + dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200) + + dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26) + dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) + + # For sell checks + dataframe['crossed_below_ema_12_26'] = qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26']) + # For buy checks + dataframe['crossed_above_ema_12_26'] = qtpylib.crossed_above(dataframe['ema_12'], dataframe['ema_26']) + + # MACD + dataframe['macd'], dataframe['signal'], dataframe['hist'] = ta.MACD(dataframe['close'], fastperiod=12, slowperiod=26, signalperiod=9) + + # SMA + dataframe['sma_5'] = ta.EMA(dataframe, timeperiod=5) + + # RSI + dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) + + # Chaikin A/D Oscillator + dataframe['mfv'] = MFV(dataframe) + dataframe['cmf'] = dataframe['mfv'].rolling(20).sum()/dataframe['volume'].rolling(20).sum() + + return dataframe + + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + # The indicators for the 1h informative timeframe + informative_1h = self.informative_1h_indicators(dataframe, metadata) + dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.inf_1h, ffill=True) + + # The indicators for the normal (5m) timeframe + dataframe = self.normal_tf_indicators(dataframe, metadata) + print(dataframe) + + return dataframe + + def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + conditions = [] + + conditions.append( + ( + self.buy_condition_14_enable.value & + + (dataframe['cmf'] > 0) & + (dataframe['crossed_above_ema_12_26']) & + (dataframe['rsi'] < 45) & + # (dataframe['open'] < dataframe['bb_lowerband']) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_13_enable.value & + + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['cmf'] < -0.435) & + (dataframe['rsi'] < 22) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) + ) + ) + + + conditions.append( + ( + self.buy_condition_12_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * 0.993) & + (dataframe['low'] < dataframe['bb_lowerband'] * 0.985) & + (dataframe['close'].shift() > dataframe['bb_lowerband']) & + (dataframe['rsi_1h'] < 72.8) & + (dataframe['open'] > dataframe['close']) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + ((dataframe['open'] - dataframe['close']) < dataframe['bb_upperband'].shift(2) - dataframe['bb_lowerband'].shift(2)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_11_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['hist'] > 0) & + (dataframe['hist'].shift() > 0) & + (dataframe['hist'].shift(2) > 0) & + (dataframe['hist'].shift(3) > 0) & + (dataframe['hist'].shift(5) > 0) & + + (dataframe['bb_middleband'] - dataframe['bb_middleband'].shift(5) > dataframe['close']/200) & + (dataframe['bb_middleband'] - dataframe['bb_middleband'].shift(10) > dataframe['close']/100) & + ((dataframe['bb_upperband'] - dataframe['bb_lowerband']) < (dataframe['close']*0.1)) & + ((dataframe['open'].shift() - dataframe['close'].shift()) < (dataframe['close'] * 0.018)) & + (dataframe['rsi'] > 51) & + + (dataframe['open'] < dataframe['close']) & + (dataframe['open'].shift() > dataframe['close'].shift()) & + + (dataframe['close'] > dataframe['bb_middleband']) & + (dataframe['close'].shift() < dataframe['bb_middleband'].shift()) & + (dataframe['low'].shift(2) > dataframe['bb_middleband'].shift(2)) & + + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_0_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['rsi'] < 30) & + (dataframe['close'] * 1.024 < dataframe['open'].shift(3)) & + (dataframe['rsi_1h'] < 71) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_1_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb20_close_bblowerband_safe_1.value) & + (dataframe['rsi_1h'] < 69) & + (dataframe['open'] > dataframe['close']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + ((dataframe['open'] - dataframe['close']) < dataframe['bb_upperband'].shift(2) - dataframe['bb_lowerband'].shift(2)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_2_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + + (dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb20_close_bblowerband_safe_2.value) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['open'] - dataframe['close'] < dataframe['bb_upperband'].shift(2) - dataframe['bb_lowerband'].shift(2)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_3_enable.value & + + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['close'] < dataframe['bb_lowerband']) & + (dataframe['rsi'] < self.buy_rsi_3.value) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_3.value)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_4_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_1.value) & + + (dataframe['close'] < dataframe['bb_lowerband']) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_5_enable.value & + + (dataframe['close'] > dataframe['ema_200']) & + (dataframe['close'] > dataframe['ema_200_1h']) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_1.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open']/100)) & + (dataframe['close'] < (dataframe['bb_lowerband'])) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + ) + + conditions.append( + ( + self.buy_condition_6_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_5.value) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_2.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open']/100)) & + (dataframe['close'] < (dataframe['bb_lowerband'])) & + + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + self.buy_condition_7_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_2.value) & + + (dataframe['ema_26'] > dataframe['ema_12']) & + ((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_macd_1.value)) & + ((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open']/100)) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) + ) + ) + + + conditions.append( + ( + + self.buy_condition_8_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_3.value) & + (dataframe['rsi'] < self.buy_rsi_1.value) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + + self.buy_condition_9_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_4.value) & + (dataframe['rsi'] < self.buy_rsi_2.value) & + + (dataframe['volume'] < (dataframe['volume'].shift() * self.buy_volume_drop_1.value)) & + (dataframe['volume_mean_slow'] > dataframe['volume_mean_slow'].shift(48) * self.buy_volume_pump_1.value) & + (dataframe['volume_mean_slow'] * self.buy_volume_pump_1.value < dataframe['volume_mean_slow'].shift(48)) & + (dataframe['volume'] > 0) + ) + ) + + conditions.append( + ( + + self.buy_condition_10_enable.value & + + (dataframe['rsi_1h'] < self.buy_rsi_1h_4.value) & + (dataframe['close_1h'] < dataframe['bb_lowerband_1h']) & + + (dataframe['hist'] > 0) & + (dataframe['hist'].shift(2) < 0) & + (dataframe['rsi'] < 40.5) & + (dataframe['hist'] > dataframe['close'] * 0.0012) & + (dataframe['open'] < dataframe['close']) & + + (dataframe['volume'] > 0) + ) + ) + + if conditions: + dataframe.loc[ + reduce(lambda x, y: x | y, conditions), + 'buy' + ] = 1 + + return dataframe + + def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + # dataframe.loc[ + # ( + # (dataframe['close'] > dataframe['bb_middleband'] * 1.01) & # Don't be gready, sell fast + # (dataframe['volume'] > 0) # Make sure Volume is not 0 + # ) + # , + # 'sell' + # ] = 0 + + dataframe.loc[ + ( + (dataframe['crossed_below_ema_12_26']) & + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ) + , + 'sell' + ] = 0 + + return dataframe + +# Chaikin Money Flow Volume +def MFV(dataframe): + df = dataframe.copy() + N = ((df['close'] - df['low']) - (df['high'] - df['close'])) / (df['high'] - df['low']) + M = N * df['volume'] + return M diff --git a/strategies/RSIDivergence.py b/strategies/RSIDivergence.py new file mode 100755 index 0000000..d96c7d4 --- /dev/null +++ b/strategies/RSIDivergence.py @@ -0,0 +1,568 @@ +# --- Do not remove these libs --- +from freqtrade.strategy.interface import IStrategy +from typing import Dict, List +from functools import reduce +from pandas import DataFrame +# -------------------------------- + +import talib.abstract as ta +import numpy as np +import freqtrade.vendor.qtpylib.indicators as qtpylib +import datetime +from technical.util import resample_to_interval, resampled_merge +from freqtrade.strategy import DecimalParameter, IntParameter, BooleanParameter + +rangeUpper = 60 +rangeLower = 5 + +def EWO(dataframe, ema_length=5, ema2_length=35): + df = dataframe.copy() + ema1 = ta.EMA(df, timeperiod=ema_length) + ema2 = ta.EMA(df, timeperiod=ema2_length) + emadif = (ema1 - ema2) / df['close'] * 100 + return emadif + +def valuewhen(dataframe, condition, source, occurrence): + copy = dataframe.copy() + copy['colFromIndex'] = copy.index + copy = copy.sort_values(by=[condition, 'colFromIndex'], ascending=False).reset_index(drop=True) + copy['valuewhen'] = np.where(copy[condition] > 0, copy[source].shift(-occurrence), copy[source]) + copy['barrsince'] = copy['colFromIndex'] - copy['colFromIndex'].shift(-occurrence) + copy.loc[ + ( + (rangeLower <= copy['barrsince']) & + (copy['barrsince'] <= rangeUpper) + ) + , "in_range"] = 1 + copy['in_range'] = copy['in_range'].fillna(0) + copy = copy.sort_values(by=['colFromIndex'], ascending=True).reset_index(drop=True) + return copy['valuewhen'], copy['in_range'] + + +class Divergence(IStrategy): + INTERFACE_VERSION = 2 + + # Buy hyperspace params: + buy_params = { + 'use_bull': True, + 'use_hidden_bull': False, + "ewo_high": 5.835, + "low_rsi_buy": 30, + "high_rsi_buy": 60, + "low_adx_buy": 30, + "high_adx_buy": 30, + "low_stoch_buy": 20, + "high_stoch_buy": 80, + "low_osc_buy": 80, + "high_osc_buy": 80, + } + # Sell hyperspace params: + sell_params = { + 'use_bear': True, + 'use_hidden_bear': True + } + + # ROI table: + minimal_roi = { + "0": 0.05, + } + + # Stoploss: + stoploss = -0.08 + + # Trailing stop: + trailing_stop = True + trailing_stop_positive = 0.005 + trailing_stop_positive_offset = 0.02 + trailing_only_offset_is_reached = True + + # Optimal timeframe for the strategy + timeframe = '5m' + + use_custom_stoploss = False + + use_bull = BooleanParameter(default=buy_params['use_bull'], space='buy', optimize=False) + use_hidden_bull = BooleanParameter(default=buy_params['use_hidden_bull'], space='buy', optimize=False) + use_bear = BooleanParameter(default=sell_params['use_bear'], space='sell', optimize=True) + use_hidden_bear = BooleanParameter(default=sell_params['use_hidden_bear'], space='sell', optimize=True) + # Protection + fast_ewo = 50 + slow_ewo = 200 + ewo_high = DecimalParameter(0, 7.0, default=buy_params['ewo_high'], space='buy', optimize=False) + low_rsi_buy = IntParameter(0, 100, default=buy_params['low_rsi_buy'], space='buy', optimize=True) + high_rsi_buy = IntParameter(0, 100, default=buy_params['high_rsi_buy'], space='buy', optimize=True) + low_adx_buy = IntParameter(0, 100, default=buy_params['low_adx_buy'], space='buy', optimize=True) + high_adx_buy = IntParameter(0, 100, default=buy_params['high_adx_buy'], space='buy', optimize=True) + low_stoch_buy = IntParameter(0, 100, default=buy_params['low_stoch_buy'], space='buy', optimize=True) + high_stoch_buy = IntParameter(0, 100, default=buy_params['high_stoch_buy'], space='buy', optimize=True) + low_osc_buy = IntParameter(0, 100, default=buy_params['low_osc_buy'], space='buy', optimize=True) + high_osc_buy = IntParameter(0, 100, default=buy_params['high_osc_buy'], space='buy', optimize=True) + + # Number of candles the strategy requires before producing valid signals + startup_candle_count: int = 30 + + osc = 'slowd' + len = 14 + src = 'close' + lbL = 5 + lbR = 5 + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + """ + study(title="Divergence Indicator", format=format.price, resolution="") + len = input(title="RSI Period", minval=1, defval=14) + src = input(title="RSI Source", defval=close) + lbR = input(title="Pivot Lookback Right", defval=5) # lookahead + lbL = input(title="Pivot Lookback Left", defval=5) + rangeUpper = input(title="Max of Lookback Range", defval=60) + rangeLower = input(title="Min of Lookback Range", defval=5) + plotBull = input(title="Plot Bullish", defval=true) + plotHiddenBull = input(title="Plot Hidden Bullish", defval=false) + plotBear = input(title="Plot Bearish", defval=true) + plotHiddenBear = input(title="Plot Hidden Bearish", defval=false) + bearColor = color.red + bullColor = color.green + hiddenBullColor = color.new(color.green, 80) + hiddenBearColor = color.new(color.red, 80) + textColor = color.white + noneColor = color.new(color.white, 100) + osc = rsi(src, len) + """ + dataframe['RSI'] = ta.RSI(dataframe[self.src], self.len) + dataframe['RSI'] = dataframe['RSI'].fillna(0) + stoch = ta.STOCH(dataframe, fastk_period=10, slowk_period=3, slowk_matype=0, slowd_period=3, slowd_matype=0) + dataframe['slowk'] = stoch['slowk'] + dataframe['slowd'] = stoch['slowd'] + dataframe['osc'] = dataframe[self.osc] + + # plFound = na(pivotlow(osc, lbL, lbR)) ? false : true + dataframe['min'] = dataframe['osc'].rolling(self.lbL).min() + dataframe['prevMin'] = np.where(dataframe['min'] > dataframe['min'].shift(), dataframe['min'].shift(), dataframe['min']) + dataframe.loc[ + ( + (dataframe['osc'].shift(1) == dataframe['prevMin'].shift(1)) & + (dataframe['osc'] != dataframe['prevMin']) + ) + , 'plFound'] = 1 + + # phFound = na(pivothigh(osc, lbL, lbR)) ? false : true + dataframe['max'] = dataframe['osc'].rolling(self.lbL).max() + dataframe['prevMax'] = np.where(dataframe['max'] < dataframe['max'].shift(), dataframe['max'].shift(), dataframe['max']) + dataframe.loc[ + ( + (dataframe['osc'].shift(1) == dataframe['prevMax'].shift(1)) & + (dataframe['osc'] != dataframe['prevMax']) + ) + , 'phFound'] = 1 + + + #------------------------------------------------------------------------------ + # Regular Bullish + # Osc: Higher Low + # oscHL = osc[lbR] > valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1]) + dataframe['valuewhen_plFound_osc'], dataframe['inrange_plFound_osc'] = valuewhen(dataframe, 'plFound', 'osc', 1) + dataframe.loc[ + ( + (dataframe['osc'] > dataframe['valuewhen_plFound_osc']) & + (dataframe['inrange_plFound_osc'] == 1) + ) + , 'oscHL'] = 1 + + # Price: Lower Low + # priceLL = low[lbR] < valuewhen(plFound, low[lbR], 1) + dataframe['valuewhen_plFound_low'], dataframe['inrange_plFound_low'] = valuewhen(dataframe, 'plFound', 'low', 1) + dataframe.loc[ + (dataframe['low'] < dataframe['valuewhen_plFound_low']) + , 'priceLL'] = 1 + #bullCond = plotBull and priceLL and oscHL and plFound + dataframe.loc[ + ( + (dataframe['priceLL'] == 1) & + (dataframe['oscHL'] == 1) & + (dataframe['plFound'] == 1) + ) + , 'bullCond'] = 1 + + # plot( + # plFound ? osc[lbR] : na, + # offset=-lbR, + # title="Regular Bullish", + # linewidth=2, + # color=(bullCond ? bullColor : noneColor) + # ) + # + # plotshape( + # bullCond ? osc[lbR] : na, + # offset=-lbR, + # title="Regular Bullish Label", + # text=" Bull ", + # style=shape.labelup, + # location=location.absolute, + # color=bullColor, + # textcolor=textColor + # ) + + # //------------------------------------------------------------------------------ + # // Hidden Bullish + # // Osc: Lower Low + # + # oscLL = osc[lbR] < valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1]) + dataframe['valuewhen_plFound_osc'], dataframe['inrange_plFound_osc'] = valuewhen(dataframe, 'plFound', 'osc', 1) + dataframe.loc[ + ( + (dataframe['osc'] < dataframe['valuewhen_plFound_osc']) & + (dataframe['inrange_plFound_osc'] == 1) + ) + , 'oscLL'] = 1 + # + # // Price: Higher Low + # + # priceHL = low[lbR] > valuewhen(plFound, low[lbR], 1) + dataframe['valuewhen_plFound_low'], dataframe['inrange_plFound_low'] = valuewhen(dataframe,'plFound', 'low', 1) + dataframe.loc[ + (dataframe['low'] > dataframe['valuewhen_plFound_low']) + , 'priceHL'] = 1 + # hiddenBullCond = plotHiddenBull and priceHL and oscLL and plFound + dataframe.loc[ + ( + (dataframe['priceHL'] == 1) & + (dataframe['oscLL'] == 1) & + (dataframe['plFound'] == 1) + ) + , 'hiddenBullCond'] = 1 + # + # plot( + # plFound ? osc[lbR] : na, + # offset=-lbR, + # title="Hidden Bullish", + # linewidth=2, + # color=(hiddenBullCond ? hiddenBullColor : noneColor) + # ) + # + # plotshape( + # hiddenBullCond ? osc[lbR] : na, + # offset=-lbR, + # title="Hidden Bullish Label", + # text=" H Bull ", + # style=shape.labelup, + # location=location.absolute, + # color=bullColor, + # textcolor=textColor + # ) + # + # //------------------------------------------------------------------------------ + # // Regular Bearish + # // Osc: Lower High + # + # oscLH = osc[lbR] < valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1]) + dataframe['valuewhen_phFound_osc'], dataframe['inrange_phFound_osc'] = valuewhen(dataframe, 'phFound', 'osc', 1) + dataframe.loc[ + ( + (dataframe['osc'] < dataframe['valuewhen_phFound_osc']) & + (dataframe['inrange_phFound_osc'] == 1) + ) + , 'oscLH'] = 1 + # + # // Price: Higher High + # + # priceHH = high[lbR] > valuewhen(phFound, high[lbR], 1) + dataframe['valuewhen_phFound_high'], dataframe['inrange_phFound_high'] = valuewhen(dataframe, 'phFound', 'high', 1) + dataframe.loc[ + (dataframe['high'] > dataframe['valuewhen_phFound_high']) + , 'priceHH'] = 1 + # + # bearCond = plotBear and priceHH and oscLH and phFound + dataframe.loc[ + ( + (dataframe['priceHH'] == 1) & + (dataframe['oscLH'] == 1) & + (dataframe['phFound'] == 1) + ) + , 'bearCond'] = 1 + # + # plot( + # phFound ? osc[lbR] : na, + # offset=-lbR, + # title="Regular Bearish", + # linewidth=2, + # color=(bearCond ? bearColor : noneColor) + # ) + # + # plotshape( + # bearCond ? osc[lbR] : na, + # offset=-lbR, + # title="Regular Bearish Label", + # text=" Bear ", + # style=shape.labeldown, + # location=location.absolute, + # color=bearColor, + # textcolor=textColor + # ) + # + # //------------------------------------------------------------------------------ + # // Hidden Bearish + # // Osc: Higher High + # + # oscHH = osc[lbR] > valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1]) + dataframe['valuewhen_phFound_osc'], dataframe['inrange_phFound_osc'] = valuewhen(dataframe, 'phFound', 'osc', 1) + dataframe.loc[ + ( + (dataframe['osc'] > dataframe['valuewhen_phFound_osc']) & + (dataframe['inrange_phFound_osc'] == 1) + ) + , 'oscHH'] = 1 + # + # // Price: Lower High + # + # priceLH = high[lbR] < valuewhen(phFound, high[lbR], 1) + dataframe['valuewhen_phFound_high'], dataframe['inrange_phFound_high'] = valuewhen(dataframe, 'phFound', 'high', 1) + dataframe.loc[ + (dataframe['high'] < dataframe['valuewhen_phFound_high']) + , 'priceLH'] = 1 + # + # hiddenBearCond = plotHiddenBear and priceLH and oscHH and phFound + dataframe.loc[ + ( + (dataframe['priceLH'] == 1) & + (dataframe['oscHH'] == 1) & + (dataframe['phFound'] == 1) + ) + , 'hiddenBearCond'] = 1 + # + # plot( + # phFound ? osc[lbR] : na, + # offset=-lbR, + # title="Hidden Bearish", + # linewidth=2, + # color=(hiddenBearCond ? hiddenBearColor : noneColor) + # ) + # + # plotshape( + # hiddenBearCond ? osc[lbR] : na, + # offset=-lbR, + # title="Hidden Bearish Label", + # text=" H Bear ", + # style=shape.labeldown, + # location=location.absolute, + # color=bearColor, + # textcolor=textColor + # )""" + + # Elliot + dataframe['EWO'] = EWO(dataframe, self.fast_ewo, self.slow_ewo) + + dataframe['ADX'] = ta.ADX(dataframe, timeperiod=14) + return dataframe + + def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + conditions = [] + + if self.use_bull.value: + conditions.append( + ( + (dataframe['bullCond'] > 0) & + (dataframe['valuewhen_plFound_osc'] > self.low_osc_buy.value) & + (dataframe['valuewhen_plFound_osc'] < self.high_osc_buy.value) & + #(dataframe['EWO'] > self.ewo_high.value) & + (dataframe['RSI'] < self.high_rsi_buy.value) & + (dataframe['RSI'] > self.low_rsi_buy.value) & + (dataframe['ADX'] > self.low_adx_buy.value) & + (dataframe['ADX'] < self.high_adx_buy.value) & + (dataframe['slowk'] < self.high_stoch_buy.value) & + (dataframe['slowk'] > self.low_stoch_buy.value) & + (dataframe['volume'] > 0) + ) + ) + + if self.use_hidden_bull.value: + conditions.append( + ( + (dataframe['hiddenBullCond'] > 0) & + (dataframe['valuewhen_plFound_osc'] > self.low_osc_buy.value) & + (dataframe['valuewhen_plFound_osc'] < self.high_osc_buy.value) & + (dataframe['RSI'] < self.high_rsi_buy.value) & + (dataframe['RSI'] > self.low_rsi_buy.value) & + (dataframe['slowk'] < self.high_stoch_buy.value) & + (dataframe['slowk'] > self.low_stoch_buy.value) & + (dataframe['ADX'] > self.low_adx_buy.value) & + (dataframe['ADX'] < self.high_adx_buy.value) & + (dataframe['volume'] > 0) + ) + ) + + if conditions: + dataframe.loc[ + reduce(lambda x, y: x | y, conditions), + 'buy' + ] = 1 + + return dataframe + + def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + conditions = [] + + if self.use_bear.value: + conditions.append( + ( + (dataframe['bearCond'] > 0) & + (dataframe['volume'] > 0) + ) + ) + + if self.use_hidden_bear.value: + conditions.append( + ( + (dataframe['hiddenBearCond'] > 0) & + (dataframe['volume'] > 0) + ) + ) + + if conditions: + dataframe.loc[ + reduce(lambda x, y: x | y, conditions), + 'sell' + ] = 1 + + dataframe.to_csv('user_data/csvs/%s_%s.csv' % (self.__class__.__name__, metadata["pair"].replace("/", "_"))) + + return dataframe + +class RSIDivergence(SOTCHDivergence): + + # Buy hyperspace params: + buy_params = { + "high_adx_buy": 68, + "high_osc_buy": 74, + "high_rsi_buy": 53, + "high_stoch_buy": 64, + "low_adx_buy": 41, + "low_osc_buy": 15, + "low_rsi_buy": 9, + "low_stoch_buy": 13, + "ewo_high": 5.835, # value loaded from strategy + "use_bull": True, # value loaded from strategy + "use_hidden_bull": False, # value loaded from strategy + } + + # Sell hyperspace params: + sell_params = { + "use_bear": False, # value loaded from strategy + "use_hidden_bear": False, # value loaded from strategy + } + + # ROI table: # value loaded from strategy + minimal_roi = { + "0": 0.131, + "13": 0.073, + "56": 0.022, + "133": 0 + } + + # Stoploss: + stoploss = -0.2 # value loaded from strategy + + # Trailing stop: + trailing_stop = True # value loaded from strategy + trailing_stop_positive = 0.005 # value loaded from strategy + trailing_stop_positive_offset = 0.02 # value loaded from strategy + trailing_only_offset_is_reached = True # value loaded from strategy + + + osc = 'RSI' + len = 14 + src = 'close' + lbL = 40 + +class RSIDivergenceNPOriginal(RSIDivergence): + # Buy hyperspace params: + buy_params = { + "adx_buy": 36, + "high_rsi_buy": 60, + "high_stoch_buy": 92, + "low_rsi_buy": 21, + "low_stoch_buy": 6, + "use_bull": True, + "use_hidden_bull": False, + "ewo_high": 5.835, # value loaded from strategy + } + + # Sell hyperspace params: + sell_params = { + "use_bear": False, + "use_hidden_bear": False, + } + + # ROI table: # value loaded from strategy + minimal_roi = { + "0": 0.05 + } + + # Stoploss: + stoploss = -0.2 # value loaded from strategy + + # Trailing stop: + trailing_stop = True + trailing_stop_positive = 0.001 + trailing_stop_positive_offset = 0.02 + trailing_only_offset_is_reached = True + + osc = 'RSI' + len = 14 + src = 'close' + lbL = 40 + + def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + conditions = [] + + if self.use_bull.value: + conditions.append( + ( + (dataframe['bullCond'] > 0) & + (dataframe['volume'] > 0) + ) + ) + + if self.use_hidden_bull.value: + conditions.append( + ( + (dataframe['hiddenBullCond'] > 0) & + (dataframe['volume'] > 0) + ) + ) + + if conditions: + dataframe.loc[ + reduce(lambda x, y: x | y, conditions), + 'buy' + ] = 1 + + return dataframe + + def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + conditions = [] + + if self.use_bear.value: + conditions.append( + ( + (dataframe['bearCond'] > 0) & + (dataframe['volume'] > 0) + ) + ) + + if self.use_hidden_bear.value: + conditions.append( + ( + (dataframe['hiddenBearCond'] > 0) & + (dataframe['volume'] > 0) + ) + ) + + if conditions: + dataframe.loc[ + reduce(lambda x, y: x | y, conditions), + 'sell' + ] = 1 + + dataframe.to_csv('user_data/csvs/%s_%s.csv' % (self.__class__.__name__, metadata["pair"].replace("/", "_"))) + + return dataframe \ No newline at end of file diff --git a/strategies/SwingHighToSky.py b/strategies/SwingHighToSky.py new file mode 100755 index 0000000..4289cde --- /dev/null +++ b/strategies/SwingHighToSky.py @@ -0,0 +1,110 @@ +""" +author = "Kevin Ossenbrück" +copyright = "Free For Use" +credits = ["Bloom Trading, Mohsen Hassan"] +license = "MIT" +version = "1.0" +maintainer = "Kevin Ossenbrück" +email = "kevin.ossenbrueck@pm.de" +status = "Live" +""" + +from freqtrade.strategy import IStrategy +from freqtrade.strategy import IntParameter +from functools import reduce +from pandas import DataFrame + +import talib.abstract as ta +import freqtrade.vendor.qtpylib.indicators as qtpylib +import numpy + + + +# CCI timerperiods and values +cciBuyTP = 72 +cciBuyVal = -175 +cciSellTP = 66 +cciSellVal = -106 + +# RSI timeperiods and values +rsiBuyTP = 36 +rsiBuyVal = 90 +rsiSellTP = 45 +rsiSellVal = 88 + + +class SwingHighToSky(IStrategy): + INTERFACE_VERSION = 3 + + timeframe = '15m' + + stoploss = -0.34338 + + minimal_roi = {"0": 0.27058, "33": 0.0853, "64": 0.04093, "244": 0} + + buy_cci = IntParameter(low=-200, high=200, default=100, space='buy', optimize=True) + buy_cciTime = IntParameter(low=10, high=80, default=20, space='buy', optimize=True) + buy_rsi = IntParameter(low=10, high=90, default=30, space='buy', optimize=True) + buy_rsiTime = IntParameter(low=10, high=80, default=26, space='buy', optimize=True) + + sell_cci = IntParameter(low=-200, high=200, default=100, space='sell', optimize=True) + sell_cciTime = IntParameter(low=10, high=80, default=20, space='sell', optimize=True) + sell_rsi = IntParameter(low=10, high=90, default=30, space='sell', optimize=True) + sell_rsiTime = IntParameter(low=10, high=80, default=26, space='sell', optimize=True) + + # Buy hyperspace params: + buy_params = { + "buy_cci": -175, + "buy_cciTime": 72, + "buy_rsi": 90, + "buy_rsiTime": 36, + } + + # Sell hyperspace params: + sell_params = { + "sell_cci": -106, + "sell_cciTime": 66, + "sell_rsi": 88, + "sell_rsiTime": 45, + } + + def informative_pairs(self): + return [] + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + for val in self.buy_cciTime.range: + dataframe[f'cci-{val}'] = ta.CCI(dataframe, timeperiod=val) + + for val in self.sell_cciTime.range: + dataframe[f'cci-sell-{val}'] = ta.CCI(dataframe, timeperiod=val) + + for val in self.buy_rsiTime.range: + dataframe[f'rsi-{val}'] = ta.RSI(dataframe, timeperiod=val) + + for val in self.sell_rsiTime.range: + dataframe[f'rsi-sell-{val}'] = ta.RSI(dataframe, timeperiod=val) + + return dataframe + + def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + dataframe.loc[ + ( + (dataframe[f'cci-{self.buy_cciTime.value}'] < self.buy_cci.value) & + (dataframe[f'rsi-{self.buy_rsiTime.value}'] < self.buy_rsi.value) + ), + 'enter_long'] = 1 + + return dataframe + + def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + + dataframe.loc[ + ( + (dataframe[f'cci-sell-{self.sell_cciTime.value}'] > self.sell_cci.value) & + (dataframe[f'rsi-sell-{self.sell_rsiTime.value}'] > self.sell_rsi.value) + ), + 'exit_long'] = 1 + + return dataframe diff --git a/strategies/sample_strategy.py b/strategies/sample_strategy.py new file mode 100755 index 0000000..fd81570 --- /dev/null +++ b/strategies/sample_strategy.py @@ -0,0 +1,404 @@ +# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement +# flake8: noqa: F401 +# isort: skip_file +# --- Do not remove these libs --- +import numpy as np # noqa +import pandas as pd # noqa +from pandas import DataFrame +from typing import Optional, Union + +from freqtrade.strategy import (BooleanParameter, CategoricalParameter, DecimalParameter, + IStrategy, IntParameter) + +# -------------------------------- +# Add your lib to import here +import talib.abstract as ta +import freqtrade.vendor.qtpylib.indicators as qtpylib + + +# This class is a sample. Feel free to customize it. +class SampleStrategy(IStrategy): + """ + This is a sample strategy to inspire you. + More information in https://www.freqtrade.io/en/latest/strategy-customization/ + + You can: + :return: a Dataframe with all mandatory indicators for the strategies + - Rename the class name (Do not forget to update class_name) + - Add any methods you want to build your strategy + - Add any lib you need to build your strategy + + You must keep: + - the lib in the section "Do not remove these libs" + - the methods: populate_indicators, populate_entry_trend, populate_exit_trend + You should keep: + - timeframe, minimal_roi, stoploss, trailing_* + """ + # Strategy interface version - allow new iterations of the strategy interface. + # Check the documentation or the Sample strategy to get the latest version. + INTERFACE_VERSION = 3 + + # Can this strategy go short? + can_short: bool = False + + # Minimal ROI designed for the strategy. + # This attribute will be overridden if the config file contains "minimal_roi". + minimal_roi = { + "60": 0.01, + "30": 0.02, + "0": 0.04 + } + + # Optimal stoploss designed for the strategy. + # This attribute will be overridden if the config file contains "stoploss". + stoploss = -0.10 + + # Trailing stoploss + trailing_stop = False + # trailing_only_offset_is_reached = False + # trailing_stop_positive = 0.01 + # trailing_stop_positive_offset = 0.0 # Disabled / not configured + + # Optimal timeframe for the strategy. + timeframe = '5m' + + # Run "populate_indicators()" only for new candle. + process_only_new_candles = True + + # These values can be overridden in the config. + use_exit_signal = True + exit_profit_only = False + ignore_roi_if_entry_signal = False + + # Hyperoptable parameters + buy_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True) + sell_rsi = IntParameter(low=50, high=100, default=70, space='sell', optimize=True, load=True) + short_rsi = IntParameter(low=51, high=100, default=70, space='sell', optimize=True, load=True) + exit_short_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True) + + # Number of candles the strategy requires before producing valid signals + startup_candle_count: int = 30 + + # Optional order type mapping. + order_types = { + 'entry': 'limit', + 'exit': 'limit', + 'stoploss': 'market', + 'stoploss_on_exchange': False + } + + # Optional order time in force. + order_time_in_force = { + 'entry': 'GTC', + 'exit': 'GTC' + } + + plot_config = { + 'main_plot': { + 'tema': {}, + 'sar': {'color': 'white'}, + }, + 'subplots': { + "MACD": { + 'macd': {'color': 'blue'}, + 'macdsignal': {'color': 'orange'}, + }, + "RSI": { + 'rsi': {'color': 'red'}, + } + } + } + + def informative_pairs(self): + """ + Define additional, informative pair/interval combinations to be cached from the exchange. + These pair/interval combinations are non-tradeable, unless they are part + of the whitelist as well. + For more information, please consult the documentation + :return: List of tuples in the format (pair, interval) + Sample: return [("ETH/USDT", "5m"), + ("BTC/USDT", "15m"), + ] + """ + return [] + + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + """ + Adds several different TA indicators to the given DataFrame + + Performance Note: For the best performance be frugal on the number of indicators + you are using. Let uncomment only the indicator you are using in your strategies + or your hyperopt configuration, otherwise you will waste your memory and CPU usage. + :param dataframe: Dataframe with data from the exchange + :param metadata: Additional information, like the currently traded pair + :return: a Dataframe with all mandatory indicators for the strategies + """ + + # Momentum Indicators + # ------------------------------------ + + # ADX + dataframe['adx'] = ta.ADX(dataframe) + + # # Plus Directional Indicator / Movement + # dataframe['plus_dm'] = ta.PLUS_DM(dataframe) + # dataframe['plus_di'] = ta.PLUS_DI(dataframe) + + # # Minus Directional Indicator / Movement + # dataframe['minus_dm'] = ta.MINUS_DM(dataframe) + # dataframe['minus_di'] = ta.MINUS_DI(dataframe) + + # # Aroon, Aroon Oscillator + # aroon = ta.AROON(dataframe) + # dataframe['aroonup'] = aroon['aroonup'] + # dataframe['aroondown'] = aroon['aroondown'] + # dataframe['aroonosc'] = ta.AROONOSC(dataframe) + + # # Awesome Oscillator + # dataframe['ao'] = qtpylib.awesome_oscillator(dataframe) + + # # Keltner Channel + # keltner = qtpylib.keltner_channel(dataframe) + # dataframe["kc_upperband"] = keltner["upper"] + # dataframe["kc_lowerband"] = keltner["lower"] + # dataframe["kc_middleband"] = keltner["mid"] + # dataframe["kc_percent"] = ( + # (dataframe["close"] - dataframe["kc_lowerband"]) / + # (dataframe["kc_upperband"] - dataframe["kc_lowerband"]) + # ) + # dataframe["kc_width"] = ( + # (dataframe["kc_upperband"] - dataframe["kc_lowerband"]) / dataframe["kc_middleband"] + # ) + + # # Ultimate Oscillator + # dataframe['uo'] = ta.ULTOSC(dataframe) + + # # Commodity Channel Index: values [Oversold:-100, Overbought:100] + # dataframe['cci'] = ta.CCI(dataframe) + + # RSI + dataframe['rsi'] = ta.RSI(dataframe) + + # # Inverse Fisher transform on RSI: values [-1.0, 1.0] (https://goo.gl/2JGGoy) + # rsi = 0.1 * (dataframe['rsi'] - 50) + # dataframe['fisher_rsi'] = (np.exp(2 * rsi) - 1) / (np.exp(2 * rsi) + 1) + + # # Inverse Fisher transform on RSI normalized: values [0.0, 100.0] (https://goo.gl/2JGGoy) + # dataframe['fisher_rsi_norma'] = 50 * (dataframe['fisher_rsi'] + 1) + + # # Stochastic Slow + # stoch = ta.STOCH(dataframe) + # dataframe['slowd'] = stoch['slowd'] + # dataframe['slowk'] = stoch['slowk'] + + # Stochastic Fast + stoch_fast = ta.STOCHF(dataframe) + dataframe['fastd'] = stoch_fast['fastd'] + dataframe['fastk'] = stoch_fast['fastk'] + + # # Stochastic RSI + # Please read https://github.com/freqtrade/freqtrade/issues/2961 before using this. + # STOCHRSI is NOT aligned with tradingview, which may result in non-expected results. + # stoch_rsi = ta.STOCHRSI(dataframe) + # dataframe['fastd_rsi'] = stoch_rsi['fastd'] + # dataframe['fastk_rsi'] = stoch_rsi['fastk'] + + # MACD + macd = ta.MACD(dataframe) + dataframe['macd'] = macd['macd'] + dataframe['macdsignal'] = macd['macdsignal'] + dataframe['macdhist'] = macd['macdhist'] + + # MFI + dataframe['mfi'] = ta.MFI(dataframe) + + # # ROC + # dataframe['roc'] = ta.ROC(dataframe) + + # Overlap Studies + # ------------------------------------ + + # Bollinger Bands + bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) + dataframe['bb_lowerband'] = bollinger['lower'] + dataframe['bb_middleband'] = bollinger['mid'] + dataframe['bb_upperband'] = bollinger['upper'] + dataframe["bb_percent"] = ( + (dataframe["close"] - dataframe["bb_lowerband"]) / + (dataframe["bb_upperband"] - dataframe["bb_lowerband"]) + ) + dataframe["bb_width"] = ( + (dataframe["bb_upperband"] - dataframe["bb_lowerband"]) / dataframe["bb_middleband"] + ) + + # Bollinger Bands - Weighted (EMA based instead of SMA) + # weighted_bollinger = qtpylib.weighted_bollinger_bands( + # qtpylib.typical_price(dataframe), window=20, stds=2 + # ) + # dataframe["wbb_upperband"] = weighted_bollinger["upper"] + # dataframe["wbb_lowerband"] = weighted_bollinger["lower"] + # dataframe["wbb_middleband"] = weighted_bollinger["mid"] + # dataframe["wbb_percent"] = ( + # (dataframe["close"] - dataframe["wbb_lowerband"]) / + # (dataframe["wbb_upperband"] - dataframe["wbb_lowerband"]) + # ) + # dataframe["wbb_width"] = ( + # (dataframe["wbb_upperband"] - dataframe["wbb_lowerband"]) / + # dataframe["wbb_middleband"] + # ) + + # # EMA - Exponential Moving Average + # dataframe['ema3'] = ta.EMA(dataframe, timeperiod=3) + # dataframe['ema5'] = ta.EMA(dataframe, timeperiod=5) + # dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10) + # dataframe['ema21'] = ta.EMA(dataframe, timeperiod=21) + # dataframe['ema50'] = ta.EMA(dataframe, timeperiod=50) + # dataframe['ema100'] = ta.EMA(dataframe, timeperiod=100) + + # # SMA - Simple Moving Average + # dataframe['sma3'] = ta.SMA(dataframe, timeperiod=3) + # dataframe['sma5'] = ta.SMA(dataframe, timeperiod=5) + # dataframe['sma10'] = ta.SMA(dataframe, timeperiod=10) + # dataframe['sma21'] = ta.SMA(dataframe, timeperiod=21) + # dataframe['sma50'] = ta.SMA(dataframe, timeperiod=50) + # dataframe['sma100'] = ta.SMA(dataframe, timeperiod=100) + + # Parabolic SAR + dataframe['sar'] = ta.SAR(dataframe) + + # TEMA - Triple Exponential Moving Average + dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9) + + # Cycle Indicator + # ------------------------------------ + # Hilbert Transform Indicator - SineWave + hilbert = ta.HT_SINE(dataframe) + dataframe['htsine'] = hilbert['sine'] + dataframe['htleadsine'] = hilbert['leadsine'] + + # Pattern Recognition - Bullish candlestick patterns + # ------------------------------------ + # # Hammer: values [0, 100] + # dataframe['CDLHAMMER'] = ta.CDLHAMMER(dataframe) + # # Inverted Hammer: values [0, 100] + # dataframe['CDLINVERTEDHAMMER'] = ta.CDLINVERTEDHAMMER(dataframe) + # # Dragonfly Doji: values [0, 100] + # dataframe['CDLDRAGONFLYDOJI'] = ta.CDLDRAGONFLYDOJI(dataframe) + # # Piercing Line: values [0, 100] + # dataframe['CDLPIERCING'] = ta.CDLPIERCING(dataframe) # values [0, 100] + # # Morningstar: values [0, 100] + # dataframe['CDLMORNINGSTAR'] = ta.CDLMORNINGSTAR(dataframe) # values [0, 100] + # # Three White Soldiers: values [0, 100] + # dataframe['CDL3WHITESOLDIERS'] = ta.CDL3WHITESOLDIERS(dataframe) # values [0, 100] + + # Pattern Recognition - Bearish candlestick patterns + # ------------------------------------ + # # Hanging Man: values [0, 100] + # dataframe['CDLHANGINGMAN'] = ta.CDLHANGINGMAN(dataframe) + # # Shooting Star: values [0, 100] + # dataframe['CDLSHOOTINGSTAR'] = ta.CDLSHOOTINGSTAR(dataframe) + # # Gravestone Doji: values [0, 100] + # dataframe['CDLGRAVESTONEDOJI'] = ta.CDLGRAVESTONEDOJI(dataframe) + # # Dark Cloud Cover: values [0, 100] + # dataframe['CDLDARKCLOUDCOVER'] = ta.CDLDARKCLOUDCOVER(dataframe) + # # Evening Doji Star: values [0, 100] + # dataframe['CDLEVENINGDOJISTAR'] = ta.CDLEVENINGDOJISTAR(dataframe) + # # Evening Star: values [0, 100] + # dataframe['CDLEVENINGSTAR'] = ta.CDLEVENINGSTAR(dataframe) + + # Pattern Recognition - Bullish/Bearish candlestick patterns + # ------------------------------------ + # # Three Line Strike: values [0, -100, 100] + # dataframe['CDL3LINESTRIKE'] = ta.CDL3LINESTRIKE(dataframe) + # # Spinning Top: values [0, -100, 100] + # dataframe['CDLSPINNINGTOP'] = ta.CDLSPINNINGTOP(dataframe) # values [0, -100, 100] + # # Engulfing: values [0, -100, 100] + # dataframe['CDLENGULFING'] = ta.CDLENGULFING(dataframe) # values [0, -100, 100] + # # Harami: values [0, -100, 100] + # dataframe['CDLHARAMI'] = ta.CDLHARAMI(dataframe) # values [0, -100, 100] + # # Three Outside Up/Down: values [0, -100, 100] + # dataframe['CDL3OUTSIDE'] = ta.CDL3OUTSIDE(dataframe) # values [0, -100, 100] + # # Three Inside Up/Down: values [0, -100, 100] + # dataframe['CDL3INSIDE'] = ta.CDL3INSIDE(dataframe) # values [0, -100, 100] + + # # Chart type + # # ------------------------------------ + # # Heikin Ashi Strategy + # heikinashi = qtpylib.heikinashi(dataframe) + # dataframe['ha_open'] = heikinashi['open'] + # dataframe['ha_close'] = heikinashi['close'] + # dataframe['ha_high'] = heikinashi['high'] + # dataframe['ha_low'] = heikinashi['low'] + + # Retrieve best bid and best ask from the orderbook + # ------------------------------------ + """ + # first check if dataprovider is available + if self.dp: + if self.dp.runmode.value in ('live', 'dry_run'): + ob = self.dp.orderbook(metadata['pair'], 1) + dataframe['best_bid'] = ob['bids'][0][0] + dataframe['best_ask'] = ob['asks'][0][0] + """ + + return dataframe + + def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + """ + Based on TA indicators, populates the entry signal for the given dataframe + :param dataframe: DataFrame + :param metadata: Additional information, like the currently traded pair + :return: DataFrame with entry columns populated + """ + dataframe.loc[ + ( + # Signal: RSI crosses above 30 + (qtpylib.crossed_above(dataframe['rsi'], self.buy_rsi.value)) & + (dataframe['tema'] <= dataframe['bb_middleband']) & # Guard: tema below BB middle + (dataframe['tema'] > dataframe['tema'].shift(1)) & # Guard: tema is raising + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ), + 'enter_long'] = 1 + + dataframe.loc[ + ( + # Signal: RSI crosses above 70 + (qtpylib.crossed_above(dataframe['rsi'], self.short_rsi.value)) & + (dataframe['tema'] > dataframe['bb_middleband']) & # Guard: tema above BB middle + (dataframe['tema'] < dataframe['tema'].shift(1)) & # Guard: tema is falling + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ), + 'enter_short'] = 1 + + return dataframe + + def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + """ + Based on TA indicators, populates the exit signal for the given dataframe + :param dataframe: DataFrame + :param metadata: Additional information, like the currently traded pair + :return: DataFrame with exit columns populated + """ + dataframe.loc[ + ( + # Signal: RSI crosses above 70 + (qtpylib.crossed_above(dataframe['rsi'], self.sell_rsi.value)) & + (dataframe['tema'] > dataframe['bb_middleband']) & # Guard: tema above BB middle + (dataframe['tema'] < dataframe['tema'].shift(1)) & # Guard: tema is falling + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ), + + 'exit_long'] = 1 + + dataframe.loc[ + ( + # Signal: RSI crosses above 30 + (qtpylib.crossed_above(dataframe['rsi'], self.exit_short_rsi.value)) & + # Guard: tema below BB middle + (dataframe['tema'] <= dataframe['bb_middleband']) & + (dataframe['tema'] > dataframe['tema'].shift(1)) & # Guard: tema is raising + (dataframe['volume'] > 0) # Make sure Volume is not 0 + ), + 'exit_short'] = 1 + + return dataframe