Quant Backtesting is a lightweight event-driven framework built to simulate, evaluate, and optimize quantitative trading strategies with historical data.
Event-Driven Design
Processes market data sequentially to prevent look-ahead bias and model realistic order execution latency and slippage.
Portfolio Analytics
Computes key performance metrics such as Sharpe ratio, maximum drawdown, and win rate, alongside equity curve visualization.