Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Appears on
Quick read
Latest capture 2026-09-26 03:07
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
1 path
Agent instructions and tool configuration found in this repository.
GitHub Copilot
5 observed captures since 2026-06-19. Observed captures are shown by default.
Stars from first capture +1823
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Machine Learning Engineering Open Book
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Start developing and backtesting your own automated trading strategies
Learn how to develop, deploy and iterate on production-grade ML applications.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
