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awesome-systematic-trading

awesome-systematic-trading

全面的系统化交易资源集合

该项目汇集了系统化交易的全面资源，包括97个研究和交易库、696个策略描述、55本专业书籍和23个相关视频。内容涵盖量化交易策略的开发、回测和执行工具，以及博客和课程资源。适合希望深入了解系统化交易的研究者和实践者参考使用。

量化交易回测交易策略开源框架算法交易Github开源项目
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<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>

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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.

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What will you find here?

<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> </details> <!-- omit in toc -->

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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

RepositoryDescriptionStarsMade with
vnpyPython-based open source quantitative trading system development framework, officially released in January 2015, has grown step by step into a full-featured quantitative trading platformGitHub starsmade-with-python
ziplineZipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.GitHub starsmade-with-python
backtraderEvent driven Python Backtesting library for trading strategiesGitHub starsmade-with-python
QUANTAXISQUANTAXIS 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GitHub starsmade-with-python
QuantConnectLean Algorithmic Trading Engine by QuantConnect (Python, C#)GitHub starsmade-with-python
RqalphaA extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securitiesGitHub starsmade-with-python
finmarketpyPython library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)GitHub starsmade-with-python
backtesting.pyBacktesting.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.GitHub starsmade-with-python
zvtModular quant frameworkGitHub starsmade-with-python
WonderTraderWonderTrader——量化研发交易一站式框架GitHub starsmade-with-python
nautilus_traderA high-performance algorithmic trading platform and event-driven backtesterGitHub starsmade-with-python
PandoraTraderHigh-frequency quantitative trading platform based on c++ development, supporting multiple trading APIs and cross-platformGitHub starsmade-with-c++
HFTBacktestHighly precise backtest on HFT data in Python+NumbaGitHub starsmade-with-python
aatAn 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.GitHub starsmade-with-python
sdoosa-algo-trade-pythonThis project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter.GitHub starsmade-with-python
lumibotA very simple yet useful backtesting and sample based live trading framework (a bit slow to run...)GitHub starsmade-with-python
quanttraderBacktest and live trading in Python. Event based. Similar to backtesting.py.GitHub starsmade-with-python
gobacktestA Go implementation of event-driven backtesting frameworkGitHub starsmade-with-go
FlashFunkHigh Performance Runtime in RustGitHub starsmade-with-rust

General - Vector Based Frameworks

RepositoryDescriptionStarsMade with
vectorbtvectorbt 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.GitHub starsmade-with-python
pysystemtradeSystematic Trading in python from book Systematic Trading by Rob CarverGitHub starsmade-with-python
btFlexible backtesting for Python based on Algo and Strategy TreeGitHub starsmade-with-python

Cryptocurrencies

RepositoryDescriptionStarsMade with
FreqtradeFreqtrade 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.GitHub starsmade-with-python
JesseJesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.GitHub starsmade-with-python
OctoBotCryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interfaceGitHub starsmade-with-python
KelpKelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchangesGitHub starsmade-with-go
openlimitsA Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers.GitHub starsmade-with-rust
bTraderTriangle arbitrage trading bot for BinanceGitHub starsmade-with-rust
crypto-crawler-rsCrawl orderbook and trade messages from crypto exchangesGitHub starsmade-with-rust
HummingbotA client for crypto market makingGitHub starsmade-with-python
cryptotrader-coreSimple to use Crypto Exchange REST API client in rust.GitHub starsmade-with-rust

Trading bots

Trading bots and alpha models. Some of them are old and not maintained.

RepositoryDescriptionStarsMade with
BlackbirdBlackbird Bitcoin Arbitrage: a long/short

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