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Awesome Systematic Trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic tr
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About
Awesome Systematic Trading
We are collecting a list of resources papers, softwares, books, articles for finding, developing, and running systematic trading (quantitative trading) strategies.
What will you find here?
- 97 libraries and packages for research and live trading
- 40+ strategies described by institutionals and academics
- 55 books for beginners and professionals
- 23 videos and interviews
- And also some blogs and courses
📈 Interested in trading strategies implemented in Python? Visit our comprehensive collection at paperswithbacktest.com for exclusive content!
Click here to see the full table of content
- Libraries and packages
- Backtesting and Live Trading
- General - Event Driven Frameworks
- General - Vector Based Frameworks
- Cryptocurrencies
- Trading bots
- Analytics
- Indicators
- Metrics computation
- Optimization
- Pricing
- Risk
- Broker APIs
- Data Sources
- General
- Cryptocurrencies
- Data Science
- Databases
- Graph Computation
- Machine Learning
- TimeSeries Analysis
- Visualization
- Strategies
- Bonds, commodities, currencies, equities
- Bonds, commodities, equities, REITs
- Bonds, equities
- Bonds, equities, REITs
- Commodities
- Cryptos
- Currencies
- Equities
- Books
- Beginner
- Biography
- Coding
- Crypto
- General
- High Frequency Trading
- Machine Learning
- Videos
- Blogs
- Courses
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Libraries and packages
List of 97 libraries and packages implementing trading bots, backtesters, indicators, pricers, etc. Each library is categorized by its programming language and ordered by descending populatrity (number of stars).
Don't lose this
Three weeks from now, you'll want Awesome Systematic Trading again. Will you remember where to find it?
Save it to your library and the next time you need Awesome Systematic Trading, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic tr. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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