Investment Research for Everyone, Everywhere.
The OS for your personal finances
基于Python的开源量化交易平台开发框架
Data Apps & Dashboards for Python. No JavaScript Required.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A local-first personal finance app
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.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
TuShare is a utility for crawling historical data of China stocks
An open source payments switch written in Rust to make payments fast, reliable and affordable
FinRL: Financial Reinforcement Learning. 🔥
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Performant financial charts built with HTML5 canvas
Python wrapper for TA-Lib (http://ta-lib.org/).
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
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of practical financial machine learning tools and applications.
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