kubectl --context=gke_vaulted-gift-406223_europe-west1-b_private-cluster-3 -n bot-mssm-03 exec -it pod/freqtrade-bot-mssm-03-7bcbf65bf7-hjf5x -c freqtrade -- cat /freqtrade/user_data/strategies/AverageStrategy.py GodStraHo.py # --- Do not remove these libs --- from freqtrade.strategy.interface import IStrategy from pandas import DataFrame # -------------------------------- import talib.abstract as ta import freqtrade.vendor.qtpylib.indicators as qtpylib class AverageStrategy(IStrategy): INTERFACE_VERSION = 3 "\n\n author@: Gert Wohlgemuth\n\n idea:\n entrys and exits on crossovers - doesn't really perfom that well and its just a proof of concept\n " # Minimal ROI designed for the strategy. # This attribute will be overridden if the config file contains "minimal_roi" minimal_roi = {'0': 0.5} # Optimal stoploss designed for the strategy # This attribute will be overridden if the config file contains "stoploss" stoploss = -0.2 # Optimal timeframe for the strategy timeframe = '4h' def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe['maShort'] = ta.EMA(dataframe, timeperiod=8) dataframe['maMedium'] = ta.EMA(dataframe, timeperiod=21) 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 :return: DataFrame with entry column """ dataframe.loc[qtpylib.crossed_above(dataframe['maShort'], dataframe['maMedium']), 'enter_long'] = 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 :return: DataFrame with entry column """ dataframe.loc[qtpylib.crossed_above(dataframe['maMedium'], dataframe['maShort']), 'exit_long'] = 1 return dataframecat: GodStraHo.py: No such file or directory