Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Machine Learning for Trading is a code repository and companion resource for developing machine-learning trading strategies, covering data collection, feature and model development, backtesting, risk, deployment, and monitoring. It is used by readers and practitioners following the book’s workflow from research ideas to live market execution.
Latest release v3.0.0-artifacts — Pre-computed case study artifacts (v3.0) · 24 Jul 2026
These files are stefan-jansen/machine-learning-for-trading's own configuration. They tell GitHub Copilot how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
.github/copilot-instructions.md A 592 tok