https://don-huang.com/events/TalksHugo Blox Builder (https://hugoblox.com)enTue, 21 Jul 2026 00:00:00 +0000https://don-huang.com/media/icon_hu_982c5d63a71b2961.pnghttps://don-huang.com/events/https://don-huang.com/events/ai-quant-investment-2026/Sun, 19 Jul 2026 00:00:00 +0000https://don-huang.com/events/ai-quant-investment-2026/<h2 id="课程简介">课程简介</h2> <p>本次线上直播课程面向个人投资者，以&quot;别和机器拼手速&quot;为主题，系统讲解如何借鉴量化投资思维、识别行为误区、善用 AI 工具来提升投资决策质量。课程分为三大模块：第一模块介绍量化投资的基本框架与六类经典投资因子（价值、质量、动量、低波动、规模、短期反转），结合 A 股真实案例讲解因子的适用场景、失效风险与回测陷阱；第二模块通过六个互动测验，剖析前景理论、处置效应、锚定效应、过度自信、羊群效应等行为偏误如何影响交易决策，并介绍 Pre-mortem 等纪律工具；第三模块现场演示 AI Agent 在投资研究中的应用，包括数据质量审查、因子解释与冲突分析、回测审计、多角色投资委员会模拟，以及 Human-in-the-loop 决策流程。</p> <h2 id="course-overview">Course Overview</h2> <p>This two-hour online lecture, themed &ldquo;Don&rsquo;t Race Against Machines,&rdquo; equips individual investors with a scientific, reproducible investment decision framework. Module 1 introduces quantitative investing fundamentals and six classic factor families (value, quality, momentum, low-volatility, size, and short-term reversal), illustrated with real A-share market cases covering factor applicability, failure risks, and backtest pitfalls. Module 2 uses six interactive quizzes to dissect behavioral biases—prospect theory, disposition effect, anchoring, overconfidence, and herding—and presents disciplinary tools such as Pre-mortem analysis. Module 3 demonstrates AI Agent applications in investment research, including data quality auditing, factor interpretation and conflict analysis, backtest review, multi-role investment committee simulation, and Human-in-the-loop decision workflows.</p> <h2 id="资料下载">资料下载</h2> <ul> <li> </li> <li> </li> </ul>https://don-huang.com/events/ai-application-in-fintech-2026/Fri, 17 Jul 2026 00:00:00 +0000https://don-huang.com/events/ai-application-in-fintech-2026/<h2 id="课程简介">课程简介</h2> <p>本课程面向具有基础数理背景的学生，系统介绍人工智能在金融科技领域的技术原理与实际应用。课程分为两大部分：第一部分从图灵测试出发，梳理 AI 技术的演进脉络，涵盖监督学习、无监督学习、强化学习三大范式，深入讲解神经网络、注意力机制、Transformer 架构、大语言模型（LLM）以及检索增强生成（RAG）和 AI Agent 等前沿概念。第二部分聚焦金融科技应用场景，包括智能投顾（Robo-Advisory）、组合优化与现代投资组合理论、直接指数化（Direct Indexing）、税收亏损收割（Tax-Loss Harvesting），以及如何将多角色 AI Agent 系统应用于投资研究与决策流程。课程通过真实案例和实操演示，帮助学生理解如何将机器学习与大模型能力转化为可部署的金融产品与服务。</p> <p> <figure > <div class="flex justify-center "> <div class="w-full" ><img src="https://don-huang.com/20260717/class_photo.jpeg" alt="课堂合影" loading="lazy" data-zoomable /></div> </div></figure> </p> <h2 id="资料下载">资料下载</h2> <ul> <li> </li> <li> </li> </ul>https://don-huang.com/events/siam-fm-2014/Thu, 13 Nov 2014 00:00:00 +0000https://don-huang.com/events/siam-fm-2014/https://don-huang.com/events/gerber-shiu-2014/Mon, 07 Jul 2014 00:00:00 +0000https://don-huang.com/events/gerber-shiu-2014/https://don-huang.com/events/bachelier-2014/Mon, 02 Jun 2014 00:00:00 +0000https://don-huang.com/events/bachelier-2014/https://don-huang.com/events/nus-utokyo-2013/Thu, 26 Sep 2013 00:00:00 +0000https://don-huang.com/events/nus-utokyo-2013/