Project Icon

awesome-systematic-trading

量化交易资源库,系统化策略开发工具大全

这个项目汇集了系统化交易和量化策略开发所需的各类资源,包括多种编程语言的库、工具和框架。涵盖回测系统、实盘交易接口、alpha因子、基础组件、分析工具和数据源等关键领域。资源经过精心筛选,注重实用性和代码质量,适合不同水平的量化交易者使用。项目持续更新,致力于为量化策略的研发和优化提供全面支持。

Awesome Systematic Trading

or Quantitative Trading + a bit data science infra

Awesome GitHub last commit (branch)

Python Java C++ JavaScript Rust Go Jupyter Notebook

Star History

Star History Chart

希望阅读中文版?点我

Interested in systematic trading? Check QuantBox

A curated list of awesome libraries, packages and resources for Systematic Trading (Quantitative Trading)

Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.

How do we pick the projects?

  • Fit in Systematic Trading / Quantitative Trading domain
  • Good coding style and software architecture
  • (Optional) Under active development
  • (Optional) Reasonable test coverage

Overall, I tend to pick decent or promising libraries that closely related to systematic trading instead of including as many libraries as possible.

Please raise a PR if you found some good fit projects for this repo or remove some outdated projects. Thanks!

Search page by languages you are interested in to find related libraries. For example: Ctrl+F, Rust

And I count crypto as whole new category: >> Click ME to Systematic Crypto.

🔥 AI Powered Systematic Trading Systems

  • Qbot GitHub last commit (branch) | Python | - AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform.
  • gpt-investor GitHub last commit (branch) | Python | - ...

Backtest + live trading

General purpose

Event Driven Frameworks

Note: the one marked as Live Trading has reasonable live trading support for at least 1 broker. Otherwise, backtest function only.

  • aat | Python, C++, Live Trading| - 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.
  • * barter-rs | Rust | - Open-source Rust framework for building event-driven live-trading & backtesting systems. Algorithmic trade with the peace of mind that comes from knowing your strategies have been backtested with a near-identical trading Engine.
  • * bt | Python | - Flexible backtesting for Python based on Algo and Strategy Tree
  • Better Quant GitHub last commit (branch)| C++, Live Trading | - Better quant today, best quant tomorrow. 💪
  • Botvana | Rust | - high-performance and event-driven trading system built using Rust
  • backtrader | Python, Live Trading | - Event driven Python Backtesting library for trading strategies
  • backtesting.py | Python | - 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.
  • FlashFunk | Rust | - High Performance Runtime in Rust
  • QuantFabric GitHub last commit (branch) | C++ | - QuantFabric是基于Linux/C++开发的中高频量化交易系统,支持中金所、郑商所、大商所、上期所、上海国际能源中心的期货业务品种交易,支持上交所、深交所的股票、债券品种交易。
  • gobacktest | Go | - A Go implementation of event-driven backtesting framework
  • Hikyuu | C++, Python| - Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
  • lumibot | Python | - A very simple yet useful backtesting and sample based live trading framework (a bit slow to run...)
  • * nautilus_trader GitHub last commit (branch)| Python, Cython, Rust, Live Trading | - A high-performance algorithmic trading platform and event-driven backtester
  • PyBroker GitHub last commit (branch) | Python | - Algorithmic Trading in Python with Machine Learning
  • QuantConnect | C#, .NET, Live Trading | - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
  • QUANTAXIS | Python, Rust, Live Trading | - 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
  • Rqalpha | Python | - A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
  • quanttrader | Python | - Backtest and live trading in Python. Event based. Similar to backtesting.py.
  • qf-lib GitHub last commit (branch) | Python | - Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
  • sdoosa-algo-trade-python | Python | - This project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter.
  • * vnpy GitHub last commit (branch) | Python, Stock, Futures, Crypto, Live Trading | - 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
  • WonderTrader | C++, Python | - WonderTrader——量化研发交易一站式框架
  • zvt | Python, Stock, Backtest | - Modular quant framework
  • zipline | Python | - Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.
  • PandoraTrader | C++ | - CTP 高频量化交易平台 C++ Trade Platform for quant developer
  • hftbacktest GitHub last commit (branch) | Python, numba | - A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
  • Cipher | Python | - Backtesting library with focus on position adjustment that allows testing complicated setups. Pythonic, extensible, well-structured, documented.

Vector Based Frameworks

  • FinHack GitHub last commit (branch) | Python | - 一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作
  • pysystemtrade | Python, Live Trading | - Systematic Trading in python from book by Rob Carver
  • finmarketpy | Python | - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
  • vectorbt | Python, numba | - 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.
  • fund-strategy | TypeScript | - 一个简单实用的基金投资策略分析,基金回测工具
  • fastquant | Python | - Backtest and optimize your ML trading strategies with only 3 lines of code

Crypto currency focus

  • basana | Python | - A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
  • c-binance-future-quant GitHub last commit (branch) | Python | - 低成本,高效率,简单实现的币安合约量化系统架构
  • triangular-arbitrage2 | TypeScript | - a server side application for perform triangular arbitrage.
  • bTrader | Rust | - Triangle arbitrage trading bot for Binance
  • crypto-crawler-rs | Rust | - Crawl orderbook and trade messages from crypto exchanges
  • cryptotrader-core | Rust | - Simple to use Crypto Exchange REST API client in rust.
  • openlimits | Rust | - A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers.
  • Freqtrade | Python | - 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.
  • * Hummingbot GitHub last commit (branch) | Python, Cython, Live Trading | - A client for crypto market making
  • Jesse | Python | - Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.
  • * OctoBot | Python, Cython, Live Trading| - Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface
  • Kelp | Go, Live Trading | - Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
  • exc | Rust | -
项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

吐司

探索Tensor.Art平台的独特AI模型,免费访问各种图像生成与AI训练工具,从Stable Diffusion等基础模型开始,轻松实现创新图像生成。体验前沿的AI技术,推动个人和企业的创新发展。

Project Cover

SubCat字幕猫

SubCat字幕猫APP是一款创新的视频播放器,它将改变您观看视频的方式!SubCat结合了先进的人工智能技术,为您提供即时视频字幕翻译,无论是本地视频还是网络流媒体,让您轻松享受各种语言的内容。

Project Cover

美间AI

美间AI创意设计平台,利用前沿AI技术,为设计师和营销人员提供一站式设计解决方案。从智能海报到3D效果图,再到文案生成,美间让创意设计更简单、更高效。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号