# cbailes/awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

Repository: https://github.com/cbailes/awesome-deep-trading
Canonical: https://ross.abutalabs.com/products/awesome-deep-trading
License: MIT
License Family: permissive
Topics: deep-trading, deep-learning, trading-algorithms, trading-bot, quantitative-trading, fintech, stock-trading, trading-bots, machine-learning, frequency-trading, deep-reinforcement-learning, deep-neural-networks, cryptocurrency
Last push: 2023-08-08T19:55:49+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": 2837, "days_push": 1121, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2032, forks 357 (observed 2026-08-28T04:06:07.723124+00:00)

## What it is
A curated awesome-list of papers, code repositories, datasets, and courses on applying deep learning and machine learning to algorithmic trading. It covers topics like CNNs, LSTMs, GANs, reinforcement learning, high-frequency trading, and cryptocurrency.

## Use cases
- find research papers on deep learning for trading
- learn quantitative trading with machine learning
- find open-source trading bot repositories
- explore reinforcement learning for portfolio management
- find datasets for financial ML research
- learn about ML in cryptocurrency trading

## When to choose
- you want a curated starting point for ML-based trading research
- you need papers and code references on deep trading strategies
- you are exploring quantitative finance with neural networks

## When to avoid
- you need a ready-to-run trading system rather than a resource list
- you want actively maintained trading software
- you need non-ML trading strategies

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, trading, data-science
- domain: fintech, machine-learning, tutorials, awesome-lists
- platform: -
- tags: awesome-list, algorithmic-trading, quantitative-finance, papers, reinforcement-learning, curated-resources, cryptocurrency, web

## Member repositories
- cbailes/awesome-deep-trading (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.723124+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 2026-08-30T02:59:29.104887+00:00, confidence not recorded.
  - readme: https://github.com/cbailes/awesome-deep-trading (fetched 2026-08-28T04:06:07.723124+00:00, sha 00f375c4f9de)
- Data as of 2026-08-30T08:39:29.467469+00:00.