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The Top 37 Quantitative Trading Open Source Projects

Categories > Economics > Quantitative Trading
Abu ⭐ 7,255
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Awesome Quant ⭐ 5,502
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Qlib ⭐ 3,675
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
Kungfu ⭐ 2,122
Kungfu Trader
Quant Trading ⭐ 1,424
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Elitequant ⭐ 1,393
A list of online resources for quantitative modeling, trading, portfolio management
Bulbea ⭐ 1,379
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Zvt ⭐ 1,296
modular quant framework.
Quantstats ⭐ 706
Portfolio analytics for quants, written in Python
Sgx Full Orderbook Tick Data Trading Strategy ⭐ 681
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Xalpha ⭐ 514
基金投资管理回测引擎
Stock_analysis_for_quant ⭐ 437
Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
Awesome Deep Trading ⭐ 419
List of awesome resources for machine learning-based algorithmic trading
Elitequant_python ⭐ 394
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
Elitequant_cpp ⭐ 341
C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.
Quantitative Notebooks ⭐ 330
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Lazzyquant ⭐ 322
期货/期权量化交易系统
Awesome Algorithmic Trading ⭐ 288
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
Options Trading Strategies In Python ⭐ 273
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Machine Learning And Ai In Trading ⭐ 242
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Trading Backtest ⭐ 239
A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
Quantiacs Python ⭐ 219
Python version of Quantiacs toolbox and sample trading strategies
Deep Rl Trading ⭐ 219
playing idealized trading games with deep reinforcement learning
Coinquantitave ⭐ 200
Digital currency quantitative trading
Quant Notes ⭐ 160
Quantitative Interview Preparation Guide, updated version here ==>
Py Quantmod ⭐ 155
Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Quiksharp ⭐ 144
Коннектор к торговому терминалу ARQA QUIK (Квик), который делает доступным весь функционал QLUA из .NET (C#)
Interactivebrokers Algo System ⭐ 142
Java/MySQL live algorithmic trading using Interactive Brokers API
Trading Server ⭐ 141
Multi-asset, multi-strategy, event-driven trade execution and management platform for automated buy-side trading of common markets, using MongoDB for storage and Telegram for user notifications/trade consent.
Xtp_api_python ⭐ 136
Tradingstrategies ⭐ 114
Algorithmic trading strategies
Turingtrader ⭐ 110
The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.
Strategems.jl ⭐ 97
Quantitative systematic trading strategy development and backtesting in Julia
Quant ⭐ 95
Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
Gdax Orderbook Ml ⭐ 60
Application of machine learning to the Coinbase (GDAX) orderbook
Gym Continuousdoubleauction ⭐ 42
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Xtp_api_java ⭐ 38
中泰证券xtp java api for win\linux\mac
1-37 of 37 projects
Advertising 📦 10
All Projects
Application Programming Interfaces 📦 124
Applications 📦 192
Artificial Intelligence 📦 78
Blockchain 📦 73
Build Tools 📦 113
Cloud Computing 📦 80
Code Quality 📦 28
Collaboration 📦 32
Command Line Interface 📦 49
Community 📦 83
Companies 📦 60
Compilers 📦 63
Computer Science 📦 80
Configuration Management 📦 42
Content Management 📦 175
Control Flow 📦 213
Data Formats 📦 78
Data Processing 📦 276
Data Storage 📦 135
Economics 📦 64
Frameworks 📦 215
Games 📦 129
Graphics 📦 110
Hardware 📦 152
Integrated Development Environments 📦 49
Learning Resources 📦 166
Legal 📦 29
Libraries 📦 129
Lists Of Projects 📦 22
Machine Learning 📦 347
Mapping 📦 64
Marketing 📦 15
Mathematics 📦 55
Media 📦 239
Messaging 📦 98
Networking 📦 315
Operating Systems 📦 89
Operations 📦 121
Package Managers 📦 55
Programming Languages 📦 245
Runtime Environments 📦 100
Science 📦 42
Security 📦 396
Social Media 📦 27
Software Architecture 📦 72
Software Development 📦 72
Software Performance 📦 58
Software Quality 📦 133
Text Editors 📦 49
Text Processing 📦 136
User Interface 📦 330
User Interface Components 📦 514
Version Control 📦 30
Virtualization 📦 71
Web Browsers 📦 42
Web Servers 📦 26
Web User Interface 📦 210