<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>

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
696 strategies described by institutionals and academics
55 books for beginners and professionals
23 videos and interviews
And also some blogs and courses

<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
Strategies
Books
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).

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	Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
backtesting.py	Backtesting.py is a Python framework for inferring viability of trading strategies on historical (past) data. Improved upon the vision of Backtrader, and by all means surpassingly comparable to other accessible alternatives, Backtesting.py is lightweight, fast, user-friendly, intuitive, interactive, intelligent and, hopefully, future-proof.
zvt	Modular quant framework
WonderTrader	WonderTrader——量化研发交易一站式框架
nautilus_trader	A high-performance algorithmic trading platform and event-driven backtester
PandoraTrader	High-frequency quantitative trading platform based on c++ development, supporting multiple trading APIs and cross-platform
HFTBacktest	Highly precise backtest on HFT data in Python+Numba
aat	An asynchronous, event-driven framework for writing algorithmic trading strategies in python with optional acceleration in C++. It is designed to be modular and extensible, with support for a wide variety of instruments and strategies, live trading across (and between) multiple exchanges.
sdoosa-algo-trade-python	This project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter.
lumibot	A very simple yet useful backtesting and sample based live trading framework (a bit slow to run...)
quanttrader	Backtest and live trading in Python. Event based. Similar to backtesting.py.
gobacktest	A Go implementation of event-driven backtesting framework
FlashFunk	High Performance Runtime in Rust

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 trading with an advanced web interface
Kelp	Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
openlimits	A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers.
bTrader	Triangle arbitrage trading bot for Binance
crypto-crawler-rs	Crawl orderbook and trade messages from crypto exchanges
Hummingbot	A client for crypto market making
cryptotrader-core	Simple to use Crypto Exchange REST API client in rust.