{"repo":"microsoft/qlib","free":true,"listed":false,"github":"https://github.com/microsoft/qlib","clone":"git clone https://github.com/microsoft/qlib.git","description":"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.","language":"Python","stars":47654,"topics":["quantitative-finance","machine-learning","stock-data","platform","finance","algorithmic-trading","python","investment","quant","quantitative-trading"],"license":"MIT","category":"trading","readme_excerpt":":newspaper: What's NEW!   :sparkling heart: Recent released features Introducing : LLM-Based Autonomous Evolving Agents for Industrial Data-Driven R&D We are excited to announce the release of RD-Agent 📢, a powerful tool that supports automated factor mining and model optimization in quant investment R&D. RD-Agent is now available on GitHub, and we welcome your star🌟! To learn more, please visit the RD-Agent repository. We have prepared several public demo videos for you: Scenario Demo video (English) Demo video (中文) -- ------ ------ Quant Factor Mining YouTube YouTube Quant Factor Mining from reports YouTube YouTube Quant Model Optimization YouTube YouTube - 📃 Paper : R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization - 👾 Code : https://github.com/microsoft/RD-Agent/ Feature Status -- ------ R&D-Agent-Quant Published Apply R&D-Agent to Qlib for quant trading BPQP for End-to-end learning 📈Coming soon!(Under review) 🔥LLM-driven Auto Quant Factory🔥 🚀 Released in ♾️RD-Agent on Aug 8, 2024 KRNN and Sandwich models :chart with upwards trend: Released on May 26, 2023 Release Qlib v0.9.0 :octocat: Released on Dec 9, 2022 RL Learning Framework :hammer: :chart with upwards trend: Released on Nov 10, 2022. #1332, #1322, #1316,#1299,#1263, #1244, #1169, #1125, #1076 HIST and IGMTF models :chart with upwards trend: Released on Apr 10, 2022 Qlib notebook tutorial 📖 Released on Apr 7, 2022 Ibovespa index data :rice: Released on Apr ","default_branch":null,"files":null,"tree":[],"storefront":"/r/microsoft","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/microsoft/qlib/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}