# 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_17_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: stochrsi = ta.STOCHRSI(dataframe, timeperiod=7, fastk_period=3, fastd_period=3) dataframe['fastk'] = stochrsi['fastk'] dataframe['fastd'] = stochrsi['fastd'] dataframe['dema'] = ta.DEMA(dataframe, timeperiod=10) dataframe['obv'] = ta.OBV(dataframe) dataframe['obv_sma'] = ta.SMA(dataframe, timeperiod=10, price='obv') dataframe['ad'] = ta.AD(dataframe) dataframe['ad_sma'] = ta.SMA(dataframe, timeperiod=20, price='ad') dataframe['roc'] = ta.ROC(dataframe, timeperiod=10) dataframe['apo'] = ta.APO(dataframe, fastperiod=5, slowperiod=20) res = ta.AROON(dataframe, timeperiod=14) dataframe['aroondown'] = res.iloc[:, 0] dataframe['aroonup'] = res.iloc[:, 1] dataframe['natr'] = ta.NATR(dataframe, timeperiod=14) return dataframe def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['fastk'] < 15) ) & ( qtpylib.crossed_above(dataframe['close'], dataframe['dema']) ) & ( qtpylib.crossed_above(dataframe['obv'], dataframe['obv_sma']) ) & ( qtpylib.crossed_above(dataframe['ad'], dataframe['ad_sma']) ) & ( qtpylib.crossed_above(dataframe['ad'], dataframe['ad_sma']) ), 'enter_long'] = 1 return dataframe def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( qtpylib.crossed_below(dataframe['roc'], 0) ) & ( qtpylib.crossed_below(dataframe['apo'], 0) ) & ( qtpylib.crossed_below(dataframe['aroonup'], dataframe['aroondown']) ), 'exit_long'] = 1 return dataframe