# source: https://raw.githubusercontent.com/remiotore/freqtrade/44beaeb6a420cd8e9f2e4ea93e11d6cfa192ee03/strategies/adx.py

from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
import talib.abstract as ta



class Github_remiotore_freqtrade__adx__20260111_210550(IStrategy):
    """

    author@: Gert Wohlgemuth

    converted from:

        https://github.com/sthewissen/Mynt/blob/master/src/Mynt.Core/Strategies/AdxMomentum.cs

    """



    minimal_roi = {
        "0": 0.01
    }

    stoploss = -0.25

    ticker_interval = '5m'

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:

        dataframe['rsi'] = ta.RSI(dataframe)

        dataframe['Github_remiotore_freqtrade__adx__20260111_210550'] = ta.ADX(dataframe, timeperiod=14)
        dataframe['plus_di'] = ta.PLUS_DI(dataframe, timeperiod=25)
        dataframe['minus_di'] = ta.MINUS_DI(dataframe, timeperiod=25)
        dataframe['sar'] = ta.SAR(dataframe)
        dataframe['mom'] = ta.MOM(dataframe, timeperiod=14)

        return dataframe

    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
            (
                    (dataframe['Github_remiotore_freqtrade__adx__20260111_210550'] > 25) &
                    (dataframe['mom'] < 0) &
                    (dataframe['minus_di'] > 25) &
                    (dataframe['plus_di'] < dataframe['minus_di']) &
                    (dataframe['rsi'] > 30)

            ),
            'buy'] = 1
        return dataframe

    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
            (
                    (dataframe['Github_remiotore_freqtrade__adx__20260111_210550'] > 25) &
                    (dataframe['mom'] > 0) &
                    (dataframe['minus_di'] > 25) &
                    (dataframe['plus_di'] > dataframe['minus_di']) &
                    (dataframe['rsi'] > 70)

            ),
            'sell'] = 1
        return dataframe