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quantitative-finance

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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.

  • Updated Sep 2, 2026
  • Python

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.

  • Updated Sep 8, 2026
  • C++
Qbot

[🔥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

  • Updated Mar 11, 2026
  • Jupyter Notebook
QuantDinger

Open-source AI Trading OS and commercial-ready multi-tenant SaaS platform — research markets, build Python strategies, backtest, paper/live trade, and monitor crypto, stocks, and forex, with built-in user management, billing, payments, and settlement to launch and operate your own trading service.

  • Updated Sep 8, 2026
  • Python
quant-trading

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

  • Updated Jun 20, 2026
  • Python

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