# source: https://raw.githubusercontent.com/bayazknn/trade-automation/bc5e1477f3652c7224438e09d946fd672257139c/strategies/ACO_7_15.py
# Source: generated via dynamic_strategy_generator
from freqtrade.strategy import IStrategy
from pandas import DataFrame
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib

class Github_bayazknn_trade_automation__ACO_7_15__20260107_125949(IStrategy):
    timeframe = '1h'
    
    # Standard ROI and Stoploss
    minimal_roi = {"0": 0.1, "60": 0.05, "120": 0.0}
    stoploss = -0.05
    
    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        stoch = ta.STOCH(dataframe, fastk_period=21, slowk_period=5, slowd_period=5)
        dataframe['slowk'] = stoch['slowk']
        dataframe['slowd'] = stoch['slowd']
        dataframe['roc'] = ta.ROC(dataframe, timeperiod=5)
        dataframe['apo'] = ta.APO(dataframe, fastperiod=5, slowperiod=20)
        dataframe['sar'] = ta.SAR(dataframe, acceleration=0.03, maximum=0.3)
        stochrsi = ta.STOCHRSI(dataframe, timeperiod=7, fastk_period=3, fastd_period=3)
        dataframe['fastk'] = stochrsi['fastk']
        dataframe['fastd'] = stochrsi['fastd']
        bbands = ta.BBANDS(dataframe, timeperiod=20, nbdevup=1.5, nbdevdn=1.5)
        dataframe['upperband'] = bbands['upperband']
        dataframe['middleband'] = bbands['middleband']
        dataframe['lowerband'] = bbands['lowerband']
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['slowk'] < 25)
        ) & (
            qtpylib.crossed_above(dataframe['roc'], 0)
        ) & (
            qtpylib.crossed_above(dataframe['apo'], 0)
        ) & (
            qtpylib.crossed_above(dataframe['close'], dataframe['sar'])
        ),
        'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['fastk'] > 85)
        ) & (
            (dataframe['close'] > dataframe['upperband'] * 1.0)
        ),
        'exit_long'] = 1
        return dataframe