# sangyx/deep-finance

Datasets, papers and books on AI & Finance.

Repository: https://github.com/sangyx/deep-finance
Canonical: https://ross.abutalabs.com/products/deep-finance
License: MIT
License Family: permissive
Topics: finance, deep-learning, paper-list, fintech, artificial-intelligence, awesome-list
Archived: true
Last push: 2022-06-28T16:18:59+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2328, "days_push": 1527, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1511, forks 264 (observed 2026-08-28T04:04:55.909741+00:00)

## What it is
A curated awesome-list of datasets, papers, and books on deep learning applied to finance, covering stock prediction, portfolio selection, risk management, finance NLP, and blockchain. It is no longer actively updated.

## Use cases
- find datasets for stock movement prediction
- discover papers on deep learning for finance
- get a reading list for AI in fintech
- find finance NLP datasets
- learn about portfolio selection with machine learning

## When to choose
- you want a curated starting point for deep learning in finance research
- you need finance-related datasets or paper recommendations

## When to avoid
- you need up-to-date coverage of recent papers
- you need runnable code or a software tool rather than references

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, data-science
- domain: fintech, machine-learning, deep-learning, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: awesome-list, finance, fintech, paper-list, datasets, stock-prediction, reading-list

## Member repositories
- sangyx/deep-finance (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:55.909741+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 2026-08-30T04:32:24.088396+00:00, confidence not recorded.
  - readme: https://github.com/sangyx/deep-finance (fetched 2026-08-28T04:04:55.909741+00:00, sha 0b094d013221)
- Data as of 2026-08-30T08:39:29.467469+00:00.