Qlib's built-in professional backtesting engine accurately evaluates the historical performance of investment strategies. The system supports a variety of classic strategies such as TopkDropout, and users can customize the number of stock screens and rotation frequency. The backtesting results show detailed return curves, Sharpe ratios and other key performance indicators, and support strategy comparisons over multiple time periods.
A notable feature of this backtesting system is that it allows the user to inherit the WeightStrategyBase class to develop customized strategies. For example, it is possible to create strategies with equal weight allocation to the top 5 stocks for testing. This flexibility makes Qlib suitable for both beginners practicing basic strategies and professional teams working on complex algorithmic trading.
This answer comes from the articleQlib: an AI quantitative investment research tool developed by MicrosoftThe
