# firmai/financial-machine-learning

A curated list of practical financial machine learning tools and applications.

Repository: https://github.com/firmai/financial-machine-learning
Canonical: https://ross.abutalabs.com/products/financial-machine-learning
Homepage: https://www.sov.ai/
Language: Python
License Family: other
Topics: quant, quantitative-finance, stock-market, finance, cryptocurrency, trading-strategies, algorithmic-trading, investment
Last push: 2025-01-03T01:27:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2722, "days_push": 608, "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 8764, forks 1410 (observed 2026-08-28T04:10:25.614048+00:00)

## What it is
A curated list of practical financial machine learning tools, libraries, and applications, maintained under the Sov.ai umbrella. It aggregates resources for quantitative finance, algorithmic trading, and alternative data analysis.

## Use cases
- find machine learning tools for quantitative finance
- discover libraries for algorithmic trading strategies
- learn about alternative data sources for investment research
- find stock market prediction resources
- explore crypto trading machine learning tools

## When to choose
- you want a curated starting point for financial ML tooling
- you are researching quant trading and alternative data resources
- you want an index of Python finance and trading libraries

## When to avoid
- you need a ready-to-run trading engine or production library
- you want maintained software with a license rather than a link list
- you need guaranteed up-to-date or vetted content

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, data-science, developer-tools
- domain: fintech, machine-learning, data-science, tutorials
- platform: python
- tags: awesome-list, quantitative-finance, algorithmic-trading, curated-list, alternative-data

## Member repositories
- firmai/financial-machine-learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:25.614048+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 2026-08-29T17:25:14.659723+00:00, confidence not recorded.
  - readme: https://github.com/firmai/financial-machine-learning (fetched 2026-08-28T04:10:25.614048+00:00, sha e0d4657c0804)
  - homepage: https://www.sov.ai/ (fetched 2026-08-29T08:25:35.945948+00:00, sha c80f25dcd4fa)
  - site_page: https://sov.ai/faq (fetched 2026-08-29T08:25:35.955407+00:00, sha 0e5d5e71a9ac)
- Data as of 2026-08-30T08:39:29.467469+00:00.