Walk-forward analysis

Walk-forward analysis optimizes strategy parameters on an in-sample window, then tests them on the next out-of-sample window — repeating this 'optimize, freeze, test, roll forward' loop across the full history. It surfaces parameter instability that plain backtests hide.