Financial data platform for analysts, quants and AI agents.
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
TradingAgents: Multi-Agents LLM Financial Trading Framework
Data Apps & Dashboards for Python. No JavaScript Required.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
TuShare is a utility for crawling historical data of China stocks
ValueCell is a community-driven, multi-agent platform for financial applications.
A curated list of practical financial machine learning tools and applications.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Portfolio analytics for quants, written in Python
⚡️ Lightning-fast backtesting engine to find your trading edge
High-performance TensorFlow library for quantitative finance.
A python wrapper for Alpha Vantage API for financial data.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Transparent and Efficient Financial Analysis
Financial Markets Data Visualization using Matplotlib
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