# source: https://raw.githubusercontent.com/remiotore/freqtrade/44beaeb6a420cd8e9f2e4ea93e11d6cfa192ee03/strategies/MACDStrategy_crossed_419.py

from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import CategoricalParameter, IntParameter,DecimalParameter
from typing import Dict, List
from functools import reduce
from pandas import DataFrame


import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib


class Github_remiotore_freqtrade__MACDStrategy_crossed_419__20260111_210550(IStrategy):
    """
        buy:
            MACD crosses MACD signal above
            and CCI < -50
        sell:
            MACD crosses MACD signal below
            and CCI > 100
    """


    minimal_roi = {
         "0": 0.015,




    }

    stoploss = -0.99

    trailing_stop = False
    trailing_stop_positive = 0.023
    trailing_stop_positive_offset = 0.109
    trailing_only_offset_is_reached = False

    timeframe = '5m'

    cci_buy_param = IntParameter(-700,0, default=-50, space='buy', optimize=True)
    cci_sell_param = IntParameter(0, 700, default=100, space='sell', optimize=True)

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

        macd = ta.MACD(dataframe)
        dataframe['macd'] = macd['macd']
        dataframe['macdsignal'] = macd['macdsignal']
        dataframe['macdhist'] = macd['macdhist']
        dataframe['cci'] = ta.CCI(dataframe)

        return dataframe

    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        """
        Based on TA indicators, populates the buy signal for the given dataframe
        :param dataframe: DataFrame
        :return: DataFrame with buy column
        """
        dataframe.loc[
            (
                qtpylib.crossed_above(dataframe['macd'], dataframe['macdsignal']) &
                (dataframe['cci'] <= self.cci_buy_param.value)
            ),
            'buy'] = 1

        return dataframe

    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        """
        Based on TA indicators, populates the sell signal for the given dataframe
        :param dataframe: DataFrame
        :return: DataFrame with buy column
        """
        dataframe.loc[
            (
                qtpylib.crossed_below(dataframe['macd'], dataframe['macdsignal']) &
                (dataframe['cci'] >= self.cci_sell_param.value)
            ),
            'sell'] = 1

        return dataframe