# source: https://raw.githubusercontent.com/IBMaxin/CodingP1.1/6434372bdc0ae7209dffe25b8e5e88872590cc6c/strategies/SimpleAlwaysBuySell.py
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
import talib.abstract as ta


class Github_IBMaxin_CodingP1_1__SimpleAlwaysBuySell__20250812_200459(IStrategy):
    minimal_roi = {"0": 0.035}
    stoploss = -0.19
    timeframe = "1h"
    startup_candle_count = 210

    def populate_indicators(
        self, dataframe: DataFrame, metadata: dict
    ) -> DataFrame:
        dataframe["sma_fast"] = ta.SMA(dataframe["close"], timeperiod=50)
        dataframe["sma_slow"] = ta.SMA(dataframe["close"], timeperiod=200)
        dataframe["rsi"] = ta.RSI(dataframe["close"], timeperiod=14)
        return dataframe

    def populate_buy_trend(
        self, dataframe: DataFrame, metadata: dict
    ) -> DataFrame:
        cond = (
            (dataframe["sma_fast"] > dataframe["sma_slow"])
            & (dataframe["close"] > dataframe["sma_fast"])
            & (dataframe["rsi"].between(50, 70))
        )
        dataframe["buy"] = cond.astype(int)
        return dataframe

    def populate_sell_trend(
        self, dataframe: DataFrame, metadata: dict
    ) -> DataFrame:
        cond = (
            (dataframe["rsi"] > 70)
            | (dataframe["close"] < dataframe["sma_fast"])
        )
        dataframe["sell"] = cond.astype(int)
        return dataframe