from .data_fetcher import fetch_data

def stochastic_control_optimization(tickers, start_date, end_date):
    """Optimize portfolio using stochastic control techniques."""
    data = fetch_data(tickers, start_date, end_date).pct_change(fill_method=None).dropna()
    # Placeholder for stochastic control logic
    # Implement your stochastic control optimization here
    return data.mean()  # Returning mean as a placeholder
