Open Data Platform for analysts, quants and AI agents.
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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
"Vibe-Trading: Your Personal Trading Agent"
Download market data from Yahoo! Finance's API
Data Apps & Dashboards for Python. No JavaScript Required.
Open source software that helps you create and deploy high-frequency crypto trading bots
TuShare is a utility for crawling historical data of China stocks
ValueCell is a community-driven, multi-agent platform for financial applications.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
High-performance TensorFlow library for quantitative finance.
modular quant framework.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
Python module to get stock data from Yahoo! Finance
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
Django project protecting American consumers
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence