Awesome-Quant-Machine-Learning-Trading

Why we included this project

The author of this list gathers quantitative and algorithmic trading material with a machine-learning focus, and says they cut anything they consider low quality. They also mark their personal favourites with a star, which is a useful shortcut when you are new to ML-driven trading and trying to figure out where to begin. The material spans books, online courses, YouTube talks, blogs, and interviews, so it reads more like a map of the field than a single tutorial. Because it is a list of resources rather than a runnable tool, treat it as a research companion for planning a study path or finding libraries and datasets, not something to deploy directly.