# source: https://raw.githubusercontent.com/bayazknn/trade-automation/ebb65ef39cc43b9ffabe0667cca6f2572aaeeba9/strategies/ACO_24_9.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_24_9__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['dema'] = ta.DEMA(dataframe, timeperiod=10)
        dataframe['natr'] = ta.NATR(dataframe, timeperiod=14)
        stoch = ta.STOCH(dataframe, fastk_period=21, slowk_period=5, slowd_period=5)
        dataframe['slowk'] = stoch['slowk']
        dataframe['slowd'] = stoch['slowd']
        dataframe['aroonosc'] = ta.AROONOSC(dataframe, timeperiod=10)
        dataframe['ema_fast'] = ta.EMA(dataframe, timeperiod=12)
        dataframe['ema_slow'] = ta.EMA(dataframe, timeperiod=26)
        dataframe['kama'] = ta.KAMA(dataframe, timeperiod=10)
        dataframe['t3'] = ta.T3(dataframe, timeperiod=10, vfactor=0.9)
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            qtpylib.crossed_above(dataframe['close'], dataframe['dema'])
        ) & (
            (dataframe['natr'] > 1.5)
        ),
        'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['slowk'] > 75)
        ) & (
            qtpylib.crossed_below(dataframe['aroonosc'], 0)
        ) & (
            qtpylib.crossed_below(dataframe['ema_fast'], dataframe['ema_slow'])
        ) & (
            qtpylib.crossed_below(dataframe['close'], dataframe['kama'])
        ) & (
            qtpylib.crossed_below(dataframe['close'], dataframe['t3'])
        ),
        'exit_long'] = 1
        return dataframe