Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Appears on
Quick read
Latest capture 2026-08-14 03:05
1 path
Agent instructions and tool configuration found in this repository.
GitHub Copilot
4 observed captures since 2026-06-19. Observed captures are shown by default.
Stars from first capture +1234
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Machine Learning Engineering Open Book
Start developing and backtesting your own automated trading strategies
Build a modern LLM from scratch. Every line commented. Explained like we are five.
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.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
