abu

Why we included this project

Abu is a Python framework for quantitative trading that covers stocks, options, futures, and bitcoin, with machine learning built into its strategy pipeline. For teams building algorithmic trading systems, the main draw is that the full loop lives in one codebase: market data handling, strategy definition, backtesting, order simulation, and performance analysis, rather than glue code between separate libraries. It also ships extensive tutorials and a companion UI, which makes it more approachable than most quant frameworks; you can work through the lectures to see how each piece fits before wiring it into your own workflow. It is a strong choice if you trade Chinese A-shares or want to combine pattern-based and technical-analysis strategies with ML-driven signals, and because the project is mature and long-running, with a companion book, it doubles as a practical way to learn how a quant system is built end to end.