Financial Machine Learning alternatives for AI agents.

Portfolio analytics for quants, written in Python

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

NexusTrader is a professional-grade open-source quantitative trading platform designed by Scott Zhang

modular quant framework.

Using python and scikit-learn to make stock predictions

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

基于深度强化学习的开源自动因子工厂。

入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.

Algorithmic Trading in Python with Machine Learning

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

FinHack®，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。