{"repo":"stefan-jansen/machine-learning-for-trading","free":true,"listed":false,"github":"https://github.com/stefan-jansen/machine-learning-for-trading","clone":"git clone https://github.com/stefan-jansen/machine-learning-for-trading.git","description":"Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.","language":"Jupyter Notebook","stars":20492,"topics":["machine-learning","trading","investment","finance","data-science","investment-strategies","artificial-intelligence","trading-strategies","deep-learning","synthetic-data"],"license":"MIT","category":"trading","readme_excerpt":"Machine Learning for Trading — 3rd Edition Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution. This repository hosts the code for Machine Learning for Trading, 3rd Edition by Stefan Jansen — a ground-up rebuild, organized around one end-to-end workflow: how you define a research idea and develop it iteratively into a strategy you can actually run, and keep running, in a live market. - Nine case studies illustrate the workflow throughout the 27 chapters of the book, from raw data through features, models, backtests, costs, and risk to deployment. - Generative AI and autonomous agents are new to this edition and cut across that workflow, bringing retrieval-augmented generation, knowledge graphs, and multi-agent systems to financial research. - The companion website features 112 primers, 61 agent skills, and six production Python libraries that facilitate substantial parts of the workflow. Start here: Installation walks a blank Linux, Windows or macOS machine to a running notebook, prerequisites included. The short version is under Quick Start below. Free reader's guide: Join Navigate ML for Trading, 3rd Edition on July 30, 2026 at 11:00 AM ET for a 30-minute map of the book, case studies, code, and companion resources. See all current courses and workshops; the cohort courses are listed under Courses below. --- What's New in the Third Edition The whole book traces one path: from data infrastructure and strategy research, across an eviden","default_branch":null,"files":null,"tree":[],"storefront":"/r/stefan-jansen","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/stefan-jansen/machine-learning-for-trading/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}