LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

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

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

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

Zipline, a Pythonic Algorithmic Trading Library

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

A vector index built on TurboQuant, written in Rust with Python bindings

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

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

AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading

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

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

期货自动交易

30天掌握量化交易 (持续更新)

Portfolio analytics for quants, written in Python

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

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

WonderTrader——量化研发交易一站式框架

2027 AI/ML internship & new graduate job list updated daily