# grananqvist/Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

Repository: https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading
Canonical: https://ross.abutalabs.com/products/awesome-quant-machine-learning-trading
License Family: other
Topics: awesome, awesome-list, machine-learning, deep-learning, stock-trading, machine-learning-trading, financial-machine-learning, trading-strategies
Last push: 2025-05-21T20:41:58+00:00

## Health v2 (maintenance only)
Score: 42/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 22, release rhythm 35, longevity 100
- inputs: {"age_days": 2858, "days_push": 469, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3999, forks 701 (observed 2026-08-28T04:08:31.977796+00:00)

## What it is
A curated awesome-list of quantitative and algorithmic trading resources with an emphasis on machine learning. It aggregates books, online courses, and other high-quality learning materials for financial machine learning.

## Use cases
- learn machine learning for algorithmic trading
- find books on financial machine learning
- get started with quant trading
- discover courses on ML for finance
- find curated trading strategy resources
- study quantitative finance with ML

## When to choose
- you want a curated starting point for learning quant/ML trading
- you prefer hand-picked, quality-filtered books and courses over raw search results
- you want community-starred favourites to prioritize what to read

## When to avoid
- you need executable trading software or backtesting code rather than learning resources
- you want a formal license or guaranteed maintenance of the list
- you need up-to-the-minute coverage of the latest research papers

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, trading, developer-tools
- domain: fintech, machine-learning, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, quantitative-finance, algorithmic-trading, curated-resources, financial-machine-learning

## Member repositories
- grananqvist/Awesome-Quant-Machine-Learning-Trading (main) score 42

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:31.977796+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:24:09.054957+00:00, confidence not recorded.
  - readme: https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading (fetched 2026-08-28T04:08:31.977796+00:00, sha c9314b543f26)
- Data as of 2026-08-30T08:39:29.467469+00:00.