Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
| Date | Stars |
|---|---|
| 2026-07-24 | 8681 |
| 2026-07-25 | 8739 |
| 2026-07-28 | 8739 |
| 2026-07-30 | 8739 |
| 2026-08-10 | 13095 |
| 2026-08-18 | 13471 |
| 2026-08-19 | 13503 |
| 2026-08-20 | 13584 |
| 2026-08-21 | 13747 |
| 2026-08-22 | 13831 |
| 2026-08-23 | 13876 |
| 2026-08-24 | 13918 |
| 2026-08-25 | 13952 |
| 2026-08-26 | 13970 |
| 2026-08-27 | 14004 |
| 2026-08-28 | 14022 |
| 2026-08-29 | 14042 |
| 2026-08-30 | 14056 |
| 2026-08-31 | 14080 |
| 2026-09-01 | 14098 |
| 2026-09-02 | 14107 |
| 2026-09-03 | 14124 |
| 2026-09-04 | 14135 |
| 2026-09-05 | 14140 |
| 2026-09-06 | 14148 |
| 2026-09-07 | 14171 |
| 2026-09-08 | 14192 |
| 2026-09-09 | 14206 |
| 2026-09-10 | 14220 |
| 2026-09-11 | 14239 |
| 2026-09-12 | 14249 |
| 2026-09-13 | 14258 |
| 2026-09-14 | 14269 |
| 2026-09-15 | 14275 |
| 2026-09-16 | 14291 |
| 2026-09-17 | 14308 |
| 2026-09-18 | 14323 |
| 2026-09-19 | 14338 |
| 2026-09-20 | 14352 |
Today
+14 stars today
This week
+94 stars this week
This month
+605 stars this month
Momentum
150.0
growth rate 0.66%/day
<div align="center">
<img src="static/images/awesome-systematic-trading.jpeg" height=200 alt=""/>
<h1>Awesome Systematic Trading</h1>
</div>
<div align=center><img src="https://awesome.re/badge.svg" /></div>
[希望阅读中文版？点我](./README_zh.md)<br>
[日本語版はこちら](./README_ja.md)
We are collecting a list of resources papers, softwares, books, articles for finding, developing, and running systematic trading (quantitative trading) strategies.
<!-- omit in toc -->
### What will you find here?
- [136 libraries and packages](#libraries-and-packages) for research and live trading, with dead and dormant projects flagged
- [Strategies](#strategies) from published papers, with the Sharpe ratio each one produced when it was coded and run
- [55 books](#books) for beginners and professionals
- [22 videos](#videos) and interviews
- And also some [blogs](#blogs) and [courses](#courses)
<!-- omit in toc -->
### What the replication record looks like
We have coded and run 4,843 of these papers over their own full history. Some numbers worth
knowing before you pick one to implement:
- The median replication returns a **Sharpe ratio of 0.37**, and **48% clear a t-statistic of 1.96**.
Half the published record cannot be distinguished from zero on its own sample.
- Median test window: **34 years**. A strategy needs roughly `(1.96 / Sharpe)²` years to prove
itself, so a Sharpe of 0.4 needs about 24 of them.
- The median strategy carries a **beta of +0.17** to the S&P 500. Removing it takes the median
information ratio down to **0.21**, so a meaningful slice of the published edge is index
exposure rather than skill.
- Across 2,838 papers with a record on both sides of their publication date, we could find **no
measurable decay after publication** once the market period is controlled for, to within a fifth
of a percentage point a year.
Method and caveats are written up on [the wiki](https://paperswithbacktest.com/wiki).
<div align="center" style="margin-bottom: 50px; margin-top: 50px;">
<div style="border: 2px solid #007bff; border-radius: 10px; padding: 20px; margin-bottom: 20px;">
<h2>📈 Interested in trading strategies implemented in Python?</h2>
<p>Visit our comprehensive collection at <a href="https://paperswithbacktest.com" target="_blank">paperswithbacktest.com</a> for exclusive content!</p>
</div>
</div>
<details>
<summary>Click here to see the full table of content</summary>
- [Libraries and packages](#libraries-and-packages)
- [Backtesting and Live Trading](#backtesting-and-live-trading)
- [General - Event Driven Frameworks](#general---event-driven-frameworks)
- [General - Vector Based Frameworks](#general---vector-based-frameworks)
- [Cryptocurrencies](#cryptocurrencies)
- [Trading bots](#trading-bots)
- [Analytics](#analytics)
- [Indicators](#indicators)
- [Metrics computation](#metrics-computation)
- [Optimization](#optimization)
- [Pricing](#pricing)
- [Risk](#risk)
- [Broker APIs](#broker-apis)
- [Data Sources](#data-sources)
- [General](#general)
- [Cryptocurrencies](#cryptocurrencies-1)
- [Data Science](#data-science)
- [Databases](#databases)
- [Graph Computation](#graph-computation)
- [Machine Learning](#machine-learning)
- [TimeSeries Analysis](#timeseries-analysis)
- [Visualization](#visualization)
- [Strategies](#strategies)
- [Equities](#equities)
- [Bonds](#bonds)
- [Commodities](#commodities)
- [Currencies](#currencies)
- [Cryptocurrencies](#cryptocurrencies-2)
- [Derivatives](#derivatives)
- [Multi-asset](#multi-asset)
- [Books](#books)
- [Beginner](#beginner)
- [Biography](#biography)
- [Coding](#coding)
- [Crypto](#crypto)
- [General](#general-1)
- [High Frequency Trading](#high-frequency-trading)
- [Machine Learning](#machine-learning-1)
- [Videos](#videos)
- [Blogs](#blogs)
- [Courses](#courses)
</details>
<!-- omit in toc -->
> ### How can I help?
> You can help by submitting an issue with suggestions aExcerpt of 90,486 characters
Read on GitHub
121
James Munro · @man-group · United Kingdom
2
2
Semen Zhydenko · @kpn · Netherlands
2
GrimyFishTank
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d63e07cdcca491a8, topic:awesome, topic:awesome-list, topic:book
matched fp:d63e07cdcca491a8, topic:finance, topic:quantitative-finance, readme:quantitative