# wangzhe3224/awesome-systematic-trading

A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

Repository: https://github.com/wangzhe3224/awesome-systematic-trading
Canonical: https://ross.abutalabs.com/products/wangzhe3224-awesome-systematic-trading
Homepage: https://wangzhe3224.github.io/awesome-systematic-trading/
Language: HTML
License: MIT
License Family: permissive
Topics: systematic-trading, quantitative-trading, awesome-list, trading, quant, backtesting, alpha, trading-bot, algorithmic-trading, trading-strategies, python, finance, systematic-trading-strategies, finances, trading-algorithms, rust, golang, cryptocurrency, bitcoin, cryptocurrencies
Last push: 2026-08-26T11:20:33+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 1726, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5024, forks 655 (observed 2026-08-28T04:09:04.901398+00:00)

## What it is
A curated awesome-list of libraries, packages, and resources for systematic (quantitative) trading across crypto, stocks, futures, options, CFDs, and FX. It organizes projects by category such as backtesting, live trading, alpha research, data sources, and broker APIs, spanning Python, Rust, Go, and other languages.

## Use cases
- find backtesting libraries for algorithmic trading strategies
- discover open-source quantitative trading frameworks
- research crypto trading bot tools
- find data sources and broker APIs for quant trading
- learn systematic trading through curated books, blogs, and courses
- compare machine learning and reinforcement learning trading tools

## When to choose
- you want a curated starting point for building a quant or algo trading stack
- you need to survey the ecosystem of trading libraries across multiple languages
- you are researching tools for backtesting, alpha generation, or live trading

## When to avoid
- you need a runnable trading engine rather than a list of links
- you want guaranteed maintenance status for every listed project
- you need professional-grade, regulated trading infrastructure

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: fintech, awesome-lists, machine-learning
- platform: cross-platform
- tags: awesome-list, systematic-trading, quantitative-trading, backtesting, algorithmic-trading, trading-bot, cryptocurrency, curated-list

## Member repositories
- wangzhe3224/awesome-systematic-trading (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:04.901398+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 2026-08-29T18:17:28.835277+00:00, confidence not recorded.
  - readme: https://github.com/wangzhe3224/awesome-systematic-trading (fetched 2026-08-28T04:09:04.901398+00:00, sha eefc59201c72)
  - homepage: https://wangzhe3224.github.io/awesome-systematic-trading/ (fetched 2026-08-29T08:58:05.805564+00:00, sha 06600e776ddd)
- Data as of 2026-08-30T08:39:29.467469+00:00.