# source: https://raw.githubusercontent.com/bayazknn/trade-automation/bc5e1477f3652c7224438e09d946fd672257139c/strategies/ACO_15_17.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_15_17__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:
        dataframe['cmo'] = ta.CMO(dataframe, timeperiod=14)
        dataframe['adx'] = ta.ADX(dataframe, timeperiod=14)
        dataframe['aroonosc'] = ta.AROONOSC(dataframe, timeperiod=14)
        dataframe['sma_fast'] = ta.SMA(dataframe, timeperiod=50)
        dataframe['sma_slow'] = ta.SMA(dataframe, timeperiod=200)
        dataframe['mfi'] = ta.MFI(dataframe, timeperiod=14)
        dataframe['plus_di'] = ta.PLUS_DI(dataframe, timeperiod=14)
        dataframe['minus_di'] = ta.MINUS_DI(dataframe, timeperiod=14)
        dataframe['dema'] = ta.DEMA(dataframe, timeperiod=20)
        dataframe['wma'] = ta.WMA(dataframe, timeperiod=10)
        dataframe['sar'] = ta.SAR(dataframe, acceleration=0.03, maximum=0.3)
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['cmo'] < -40)
        ) & (
            (dataframe['adx'] > 30)
        ) & (
            qtpylib.crossed_above(dataframe['aroonosc'], 0)
        ) & (
            qtpylib.crossed_above(dataframe['sma_fast'], dataframe['sma_slow'])
        ),
        'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['mfi'] > 75)
        ) & (
            qtpylib.crossed_below(dataframe['plus_di'], dataframe['minus_di'])
        ) & (
            qtpylib.crossed_below(dataframe['close'], dataframe['dema'])
        ) & (
            qtpylib.crossed_below(dataframe['close'], dataframe['wma'])
        ) & (
            qtpylib.crossed_below(dataframe['close'], dataframe['sar'])
        ),
        'exit_long'] = 1
        return dataframe