# source: https://raw.githubusercontent.com/bayazknn/trade-automation/bc5e1477f3652c7224438e09d946fd672257139c/strategies/ACO_20_16.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_20_16__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:
        stochrsi = ta.STOCHRSI(dataframe, timeperiod=14, fastk_period=5, fastd_period=3)
        dataframe['fastk'] = stochrsi['fastk']
        dataframe['fastd'] = stochrsi['fastd']
        dataframe['willr'] = ta.WILLR(dataframe, timeperiod=7)
        dataframe['adx'] = ta.ADX(dataframe, timeperiod=14)
        dataframe['mom'] = ta.MOM(dataframe, timeperiod=5)
        dataframe['ema_fast'] = ta.EMA(dataframe, timeperiod=9)
        dataframe['ema_slow'] = ta.EMA(dataframe, timeperiod=21)
        stoch = ta.STOCH(dataframe, fastk_period=14, slowk_period=3, slowd_period=3)
        dataframe['slowk'] = stoch['slowk']
        dataframe['slowd'] = stoch['slowd']
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['fastk'] < 20)
        ) & (
            (dataframe['willr'] < -75)
        ) & (
            (dataframe['adx'] > 30)
        ) & (
            qtpylib.crossed_above(dataframe['mom'], 0)
        ) & (
            qtpylib.crossed_above(dataframe['ema_fast'], dataframe['ema_slow'])
        ),
        'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['slowk'] > 80)
        ) & (
            qtpylib.crossed_below(dataframe['ema_fast'], dataframe['ema_slow'])
        ),
        'exit_long'] = 1
        return dataframe