A comprehensive guide for building robust backtesting frameworks for trading strategies. Covers common biases (look-ahead, survivorship, overfitting), implementation patterns including event-driven and vectorized backtesters, walk-forward optimization, Monte Carlo analysis, and performance metrics calculation.
TradingBacktestingQuantitative Finance+3