# source: https://raw.githubusercontent.com/DerSalvador/freqtrade-helm-chart/a669dc11b640b0eb63aa8f8b51e9f181fd7ee43c/chart/deployed_strategies/bot-ssc-03-k8s-namespace/AwesomeMacd.py%20GodStraNew40.py
kubectl --context=gke_vaulted-gift-406223_europe-west1-b_private-cluster-3 -n bot-ssc-03 exec -it pod/freqtrade-bot-ssc-03-7479445cbd-xdnxj -c freqtrade -- cat /freqtrade/user_data/strategies/Github_DerSalvador_freqtrade_helm_chart__AwesomeMacd_pyGodStraNew40__20260115_122204.py GodStraNew40.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 Github_DerSalvador_freqtrade_helm_chart__AwesomeMacd_pyGodStraNew40__20260115_122204(IStrategy):
    INTERFACE_VERSION = 3
    '\n\n    author@: Gert Wohlgemuth\n\n    converted from:\n\n    https://github.com/sthewissen/Mynt/blob/master/src/Mynt.Core/Strategies/Github_DerSalvador_freqtrade_helm_chart__AwesomeMacd_pyGodStraNew40__20260115_122204.cs\n\n    '
    # Minimal ROI designed for the strategy.
    # adjust based on market conditions. We would recommend to keep it low for quick turn arounds
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {'0': 0.1}
    # Optimal stoploss designed for the strategy
    stoploss = -0.25
    # Optimal timeframe for the strategy
    timeframe = '1h'

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe['adx'] = ta.ADX(dataframe, timeperiod=14)
        dataframe['ao'] = qtpylib.awesome_oscillator(dataframe)
        macd = ta.MACD(dataframe)
        dataframe['macd'] = macd['macd']
        dataframe['macdsignal'] = macd['macdsignal']
        dataframe['macdhist'] = macd['macdhist']
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[(dataframe['macd'] > 0) & (dataframe['ao'] > 0) & (dataframe['ao'].shift() < 0), 'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[(dataframe['macd'] < 0) & (dataframe['ao'] < 0) & (dataframe['ao'].shift() > 0), 'exit_long'] = 1
        return dataframecat: GodStraNew40.py: No such file or directory