machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition, from data sourcing to live execution.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
machine-learning-for-trading is a comprehensive repository for implementing machine learning techniques in trading, covering data sourcing, backtesting, and live execution strategies, all documented in Jupyter Notebooks.
Good fit when
- Use when you need a complete workflow from data sourcing to live trading execution, as the repository covers all stages of the trading process.
- Ideal for those working on macOS with Apple Silicon, as the local environment setup is tested and supported on this hardware.
Avoid when
- Avoid if you are working on Windows without WSL2, as the repository does not support installation into Windows Python.
- Not recommended for users who do not have access to a C/C++ compiler and Python headers, as the local setup requires these for compiling dependencies.
- Requirements:
- Min 8 GB RAM; Requires Docker; Requires a C/C++ compiler and Python headers for local setup on macOS, Linux, or WSL2.; Docker setup is recommended for macOS with Intel and Windows (via WSL2).
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/stefan-jansen/machine-learning-for-tradingHow it fits your stack(10)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Repository contains code and resources for implementing machine learning techniques in trading, including data sourcing, backtesting, and live execution strategies.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 18, 2026
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
compiler and the Python headers: `sudo apt install build-essential python3-dev` on Ubuntu, DebianSource link
Tags
README
Quick Start New here? Read these three, in order. 1. What this repository is, and what it is not what reproduces with one command, what a configuration change buys you, what needs real compute or licensed data, and what is not promised. Five minutes, before you install anything....
For agents
This page has a .md twin and JSON over the API.