# Source: generated via dynamic_strategy_generator from freqtrade.strategy import IStrategy from pandas import DataFrame import talib.abstract as ta import freqtrade.vendor.qtpylib.indicators as qtpylib class ACO_28_19(IStrategy): timeframe = '1h' # Standard ROI and Stoploss minimal_roi = {"0": 0.1, "60": 0.05, "120": 0.0} stoploss = -0.05 def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe['willr'] = ta.WILLR(dataframe, timeperiod=14) dataframe['mom'] = ta.MOM(dataframe, timeperiod=10) dataframe['ema_fast'] = ta.EMA(dataframe, timeperiod=12) dataframe['ema_slow'] = ta.EMA(dataframe, timeperiod=26) dataframe['dema'] = ta.DEMA(dataframe, timeperiod=10) dataframe['adosc'] = ta.ADOSC(dataframe, fastperiod=2, slowperiod=5) dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) res = ta.AROON(dataframe, timeperiod=14) dataframe['aroondown'] = res.iloc[:, 0] dataframe['aroonup'] = res.iloc[:, 1] dataframe['sma_fast'] = ta.SMA(dataframe, timeperiod=9) dataframe['sma_slow'] = ta.SMA(dataframe, timeperiod=21) dataframe['t3'] = ta.T3(dataframe, timeperiod=10, vfactor=0.9) dataframe['sar'] = ta.SAR(dataframe, acceleration=0.03, maximum=0.3) return dataframe def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['willr'] < -80) ) & ( qtpylib.crossed_above(dataframe['mom'], 0) ) & ( qtpylib.crossed_above(dataframe['ema_fast'], dataframe['ema_slow']) ) & ( qtpylib.crossed_above(dataframe['close'], dataframe['dema']) ) & ( qtpylib.crossed_above(dataframe['adosc'], 0) ), 'enter_long'] = 1 return dataframe def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['rsi'] > 70) ) & ( qtpylib.crossed_below(dataframe['aroonup'], dataframe['aroondown']) ) & ( qtpylib.crossed_below(dataframe['sma_fast'], dataframe['sma_slow']) ) & ( qtpylib.crossed_below(dataframe['close'], dataframe['t3']) ) & ( qtpylib.crossed_below(dataframe['close'], dataframe['sar']) ), 'exit_long'] = 1 return dataframe