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paperswithbacktest/awesome-systematic-trading resource

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. observed · 2026-08-28

github.com/paperswithbacktest/awesome-systematic-trading · homepage · Python observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1670
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

13985 stars · 1689 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list of libraries, packages, strategies, books, blogs, videos, and courses for systematic (quantitative/algorithmic) trading. It aggregates 97+ libraries, 40+ documented strategies, 55 books, and other learning resources for researching, developing, and running trading strategies.

Use cases

  • find python libraries for backtesting trading strategies
  • learn algorithmic trading from books and courses
  • discover academic papers describing quantitative trading strategies
  • find market data sources for backtesting
  • compare event-driven vs vector-based backtesting frameworks
  • find broker APIs and crypto trading tools
  • get started with quantitative finance as a beginner

When to choose

  • you want a curated starting point for systematic trading resources
  • you are researching which backtesting or live-trading library to adopt
  • you want a reading list of trading books, papers, and courses

When to avoid

  • you need runnable trading software rather than a list of links
  • you want a maintained backtesting engine or data API itself
  • you need guaranteed-accurate or vetted strategy performance claims

Facets

learning-resource · maturity active

developer-tools documentation fintech tutorials awesome-lists cross-platform python awesome-list systematic-trading quantitative-finance algorithmic-trading backtesting trading-strategies curated-resources

4 sources

Member repositories

RepositoryRoleHealth v2
paperswithbacktest/awesome-systematic-tradingmain77

For agents

markdown · JSON · MCP: product_card(name="paperswithbacktest/awesome-systematic-trading")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem