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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

• 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

How can I help?

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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).

Backtesting and Live Trading

General - Event Driven Frameworks

Repository	Description	Stars	Made with
vnpy	Python-based open source quantitative trading system development framework, officially released in January 2015, has grown step by step into a full-featured quantitative trading platform
zipline	Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.
backtrader	Event driven Python Backtesting library for trading strategies
QUANTAXIS	QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
QuantConnect	Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Rqalpha	A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
finmarketpy

General - Vector Based Frameworks

Repository	Description	Stars	Made with
vectorbt	vectorbt takes a novel approach to backtesting: it operates entirely on pandas and NumPy objects, and is accelerated by Numba to analyze any data at speed and scale. This allows for testing of many thousands of strategies in seconds.
pysystemtrade	Systematic Trading in python from book Systematic Trading by Rob Carver
bt	Flexible backtesting for Python based on Algo and Strategy Tree

Cryptocurrencies

Repository	Description	Stars	Made with
Freqtrade	Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
Jesse	Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.
OctoBot	Cryptocurrency trading bot for TA, arbitrage and social tradi