# source: https://raw.githubusercontent.com/remiotore/freqtrade/44beaeb6a420cd8e9f2e4ea93e11d6cfa192ee03/strategies/GreenRedCandle.py
# Import necessary modules from freqtrade
from freqtrade.strategy import IStrategy
from pandas import DataFrame
import talib.abstract as ta

class Github_remiotore_freqtrade__GreenRedCandle__20260111_210550(IStrategy):
    # Set timeframe for the strategy (e.g., 5 minutes)
    timeframe = '5m'

    # Define minimal ROI (Profit strategy) and stoploss (loss limit)
    minimal_roi = {
        "0": 0.1,  # Buy condition
    }

    stoploss = -0.1  # -10% stoploss

    # Define the trailing stoploss, if required
    trailing_stop = False
    trailing_stop_positive = 0.02
    trailing_stop_positive_offset = 0.05
    trailing_only_offset_is_reached = True

    # Define the strategy
    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        return dataframe

    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        # Buy signal: Green candle (close > open)
        dataframe.loc[
            (
                dataframe['close'] > dataframe['open']  # Green candle condition
            ),
            'buy'] = 1
        return dataframe

    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        # Sell signal: Red candle (close < open)
        dataframe.loc[
            (
                dataframe['close'] < dataframe['open']  # Red candle condition
            ),
            'sell'] = 1
        return dataframe