investment

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.

基于Python的开源量化交易平台开发框架

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

ValueCell is a community-driven, multi-agent platform for financial applications.

Algorithmic Trading in Python with Machine Learning

基金投资管理回测引擎

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Find big moving stocks before they move using machine learning and anomaly detection

Claude Code for Financial Market

AI+金融（量化）：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.

Korea Investment & Securities Open API Github

Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities, size risk, and act under uncertainty — then structures those patterns so humans can study them and AI finance agents can apply them.

Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform

Multi-agent equity research system with deterministic signal fusion — 3 specialized agents (ReAct, FinBERT, Plan-and-Solve + RAG) produce BUY/NEUTRAL/SELL decisions through a mathematical Decision Hub. No LLM in the critical path.

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