A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
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Updated
May 29, 2024 - Jupyter Notebook
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A curated list of practical financial machine learning tools and applications.
Open-source portfolio analysis tools for DIY investors and finance enthusiasts.
An innovative, DB-free CMS for web and application development, based on the principles of Quantum physics.
Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
请访问 😄www.jieyu.ai和公众号🫶量化风云
The Official Python SDK for Alpaca API
Lucky is a reactive and async trading framework in Julia designed to rapidly draft, test, deploy and monitor trading strategies and portfolios.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
众人的因子回测框架 stock factor test
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Interactive Brokers Fundamental data for humans
hey there 👋 If your applying for a quant new grad role or internship - this repo is for you. Best of luck 🚀
AAD enabled and scripting included derivatives modeling.
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