vectorbt is a Python backtesting framework designed to rapidly test and evaluate multiple trading strategies across different market conditions and assets. It enables developers to simulate thousands of trading ideas efficiently through vectorized computations, making it useful for quantitative analysts, algorithmic traders, and anyone building data-driven trading systems. The library supports cryptocurrency and traditional markets, with built-in tools for portfolio optimization, performance analysis, and strategy visualization.

136 open issues · last updated Jul 22, 2026