# source: https://raw.githubusercontent.com/lam123-cell/vector-quantization-trading/53535aff88984afbf9c1dbe80fced470241d129e/vq-trading-binance/freqtrade_setup/user_data/strategies/FQ_TurboQuantStrategy.py
from freqtrade.strategy import IStrategy

class Github_lam123_cell_vector_quantization_trading__FQ_TurboQuantStrategy__20260406_145846(IStrategy):
    """
    Strategy for Freqtrade using TurboQuant (VQ) compressed features.
    """
    def populate_indicators(self, dataframe, metadata):
        # Apply TurboQuant here
        return dataframe

    def populate_buy_trend(self, dataframe, metadata):
        dataframe.loc[(), 'buy'] = 1
        return dataframe

    def populate_sell_trend(self, dataframe, metadata):
        dataframe.loc[(), 'sell'] = 1
        return dataframe