关于LLMQuant
LLMQuant起源于剑桥大学校内，是由一群来自世界顶尖高校和量化金融从业人员组成的前沿社区，致力于探索人工智能（AI）与量化（Quant）领域的无限可能。我们的团队成员来自剑桥大学、牛津大学、哈佛大学、苏黎世联邦理工学院、北京大学、中科大等世界知名高校，外部顾问来自Microsoft、HSBC、Jump Trading、Man Group、国内顶尖私募等一流企业。
LLMQuant前沿讲座
LLMQuant前沿讲座系列旨在邀请杰出的学者和业界专家，分享他们在量化金融领域的最新研究成果和实践经验。
第二期前沿讲座，我们邀请到香港科技大学计算机科学系的博士生Hang Yuan和Saizhuo Wang，他们是著名人工智能量化交易项目Alpha-GPT的主要贡献者，他们将以AI in Quant: Empowering Alpha Research with NextGen AI-powered Alpha Platform为主题，讨论如何利用大语言模型来理解并实现量化研究人员的想法，生成具有创意和高效的交易信号。演讲将展示Alpha-GPT如何解决系统化研究中的基础性挑战，从处理海量金融数据集到自动化复杂的研究工作流程，并探讨其对量化投资研究未来的影响。
讲座信息
时间：11月3日（周日）下午17:00（北京时间）
地点：线上（使用腾讯会议）
报名方式：扫描下方二维码，报名成功后在会收到通知
日程：
- ? 17:00-18:00 嘉宾报告
- ? 18:00-18:15 交流讨论
LLMQuant前沿讲座微信群
加入微信群，获取最新前沿讲座信息
主题简介
Recent advances in Large Language Models have demonstrated remarkable capabilities in mathematics and coding, yet their application to quantitative investment research remains largely unexplored. This talk examines the potential of LLMs in financial signal discovery, where traditional approaches face mounting challenges from exponential growth in data complexity and market dynamics. We introduce Alpha-GPT, an AI Alpha Mining Agent that achieved a top 3 ranking in the WorldQuant International Quant Championship 2024. We explore how this framework leverages LLMs to understand and implement quantitative researchers’ ideas, generating creative and effective trading signals. The presentation demonstrates how Alpha-GPT addresses fundamental challenges in systematic research, from processing massive financial datasets to automating complex research workflows, while examining its implications for the future of quantitative investment research.
嘉宾简介
Hang Yuan is a Ph.D. candidate in Computer Science at the Hong Kong University of Science and Technology, supervised by Prof. Lionel Ni and Prof. Harry Shum. His research focuses on deep learning applications in quantitative finance, including algorithmic trading and feature generation. Recently, he pioneered the use of large language models (LLMs) in finance through projects like Alpha-GPT and QuantAgent, which achieved a top-three ranking in the WorldQuant International Quant Championship 2024 —an unprecedented result for an AI agent in a competition dominated by human experts. He is also a part-time researcher at the International Digital Economy Academy (IDEA) in Shenzhen, where he specializes in computational finance. His representative work includes HXPY, a high-performance financial computing framework, and AlphaFactory, a large-scale distributed system for automatic alpha mining.
Saizhuo Wang is a Ph.D. candidate in Computer Science and Engineering at HKUST. His research interest includes deep learning, quantitative investment, and large language models.
主持人简介
Yuhao Huang is a Ph.D. student in Computer Science at Nanjing University, supervised by Prof. Wu-Jun Li. His research interests include generative time series modeling, reinforcement learning, and their applications in quantitive finance. He worked as a research intern with the Machine Learning group at Microsoft Research Asia from 2023 to 2024.