GitHub repository

stefan-jansen/machine-learning-for-trading

What it does

Code for Machine Learning for Trading, 3rd edition, from data sourcing to live execution.

Open on GitHub (opens in a new tab)

Information only, not investment advice. Open-source trading tools can have bugs and lose real money. Check it yourself and on a demo account before you use it.

GitHub stars
21,777 As of November 11, 2026
Language
Jupyter Notebook
Opened
Last update

Where it ranks

Topics

  • algorithmic-trading
  • artificial-intelligence
  • backtesting
  • data-science
  • deep-learning
  • finance
  • investment
  • investment-strategies
  • large-language-models
  • machine-learning
  • ml4t-workflow
  • polars
  • quantitative-finance
  • reinforcement-learning
  • synthetic-data
  • trading
  • trading-agent
  • trading-strategies
All capital markets tools
  1. openbq-org/OpenBB75,313 stars

    Open Data Platform for analysts, quants and AI agents.

  2. LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

  3. FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and…

  4. Python Backtesting library for trading strategies

  5. quantopian/zipline20,229 stars

    Zipline, a Pythonic Algorithmic Trading Library

Detail 04 · Morning sheet

The repo of the week, in your inbox

The morning's news and one repository worth knowing, with a short note on why.

How often?

A short issue in the morning, on every day there is news. Written in Hebrew.

Unsubscribe in one click. Your email is used only for the brief.

Past issues