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.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

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

stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

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

An advanced crypto trading bot written in Python

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

The QuantLib C++ library

Collection of notebooks about quantitative finance, with interactive python code.

Portfolio analytics for quants, written in Python

⚡️ Lightning-fast backtesting engine to find your trading edge

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

High-performance TensorFlow library for quantitative finance.

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

量化研究-券商金工研报复现