Provides a high-performance Python framework for rapidly backtesting and analyzing quantitative trading strategies.
vectorbt is a Python library built for blazing-fast, vectorized backtesting of trading ideas. You can test thousands of strategies in seconds, perform in-depth portfolio analysis across various markets, and visualize results to uncover profitable patterns. Installation is simple via `pip install vectorbt`, then you're ready to define strategies and run simulations using its API.
Provides a high-performance Python framework for rapidly backtesting and analyzing quantitative trading strategies.
Quantitative analysts, algorithmic traders, and data scientists seeking to efficiently test and optimize financial trading strategies should use this.
