stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
This project provides practical guidance and code examples for applying machine learning to develop algorithmic trading strategies. It helps quantitative analysts and traders transform raw financial data (like market prices, company filings, or news) into actionable trading signals and robust, backtested investment strategies. You'll learn to build, evaluate, and optimize these strategies using various machine learning techniques.
16,745 stars. No commits in the last 6 months.
Use this if you are a quantitative trader, analyst, or researcher looking to integrate machine learning techniques into your algorithmic trading workflows, from data preparation to strategy backtesting.
Not ideal if you are looking for a plug-and-play trading bot or a theoretical academic overview without practical coding examples.
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Aug 18, 2024
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