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Learn algorithmic and AI trading
Books
- Machine Learning for Trading, 3rd ed. (Stefan Jansen, Packt, 2026): End-to-end ML workflow from data to backtest to live trading. Companion site: ml4trading.io.
- Advances in Financial Machine Learning (Marcos López de Prado, Wiley): Labeling, cross-validation and backtest overfitting done properly.
- Quantitative Trading, 2nd ed. (Ernest Chan, Wiley): A practical intro to running your own algorithmic strategies.
Courses
- Machine Learning for Trading Specialization (Google Cloud / NYIF, Coursera): Three courses on ML, deep learning and reinforcement learning for trading.
- EPAT (QuantInsti): Long-form algorithmic trading program with live classes; see the admissions page for current fees.
- QuantConnect Learning Center: Free tutorials and bootcamps on the LEAN engine.
Communities
- r/algotrading: Large, skeptical community; good for sanity checks.
- QuantConnect Forum: Strategy and LEAN help.
- Freqtrade docs and community: Docs with links to the official Discord for the most popular open-source crypto bot.