Introduction To Quantitative Finance alternatives for AI agents.

QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.

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 curated list of practical financial machine learning tools and applications.

Portfolio analytics for quants, written in Python

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

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

基于深度强化学习的开源自动因子工厂。

Modular reinforcement learning framework for algorithmic trading

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。

TradingAgents: Multi-Agents LLM Financial Trading Framework

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

Financial data platform for analysts, quants and AI agents.

Python wrapper for TA-Lib (http://ta-lib.org/).

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity