# source: https://raw.githubusercontent.com/bayazknn/trade-automation/ebb65ef39cc43b9ffabe0667cca6f2572aaeeba9/strategies/ACO_6_8.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_6_8__20260113_200846(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:
        dataframe['trix'] = ta.TRIX(dataframe, timeperiod=21)
        dataframe['ema_fast'] = ta.EMA(dataframe, timeperiod=12)
        dataframe['ema_slow'] = ta.EMA(dataframe, timeperiod=26)
        bbands = ta.BBANDS(dataframe, timeperiod=20, nbdevup=2.5, nbdevdn=2.5)
        dataframe['upperband'] = bbands['upperband']
        dataframe['middleband'] = bbands['middleband']
        dataframe['lowerband'] = bbands['lowerband']
        dataframe['cmo'] = ta.CMO(dataframe, timeperiod=14)
        dataframe['sma_fast'] = ta.SMA(dataframe, timeperiod=50)
        dataframe['sma_slow'] = ta.SMA(dataframe, timeperiod=200)
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            qtpylib.crossed_above(dataframe['trix'], 0)
        ) & (
            qtpylib.crossed_above(dataframe['ema_fast'], dataframe['ema_slow'])
        ) & (
            (dataframe['close'] < dataframe['lowerband'] * 1.0)
        ),
        'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['cmo'] > 50)
        ) & (
            qtpylib.crossed_below(dataframe['sma_fast'], dataframe['sma_slow'])
        ),
        'exit_long'] = 1
        return dataframe