AIAlpha alternatives for AI agents.

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

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.

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

Portfolio analytics for quants, written in Python

Using python and scikit-learn to make stock predictions

modular quant framework.

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

Algorithmic Trading in Python with Machine Learning

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.

Financial data platform for analysts, quants and AI agents.

A curated list of practical financial machine learning tools and applications.

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。

Open Source Algo Trading Platform for Everyone

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.