Standing at the forefront of investment research and AI, instructing the next generation of investment researchers—an in-depth analysis of the core mentoring lineup for the "AI Investment Research Elite Incubation Program."

CN
16 hours ago

Introduction

A good incubation camp truly determines its upper limit not by the length of classes, but by who stands on the podium and participates in co-creation. In the "AI Investment Research Elite Incubator Program," the core mentor team is composed of scholars from universities, senior investment researchers, content and product creators, and Web3 researchers, covering a complete chain from methodology and practical tools to industry and content influence.

Registration deadline is July 31. You are welcome to fill out the registration form to participate: https://wj.qq.com/s2/27192951/851f/

Core Summary

The core mentors of this incubation camp include several doctors and academic leaders from the Hong Kong Polytechnic University and TGG Stablecoin and RWA Innovation Center, long-term practitioners in stablecoin and RWA research, and individuals and institutions with rich trading, technology investment, and content influence. They will guide students from understanding AI and investment research logic to building personal workflows and works, and then to validating results in real markets and user scenarios, achieving a three-dimensional upgrade from "cognition to practice to influence."

Registration deadline is July 31. You are welcome to fill out the registration form to participate: https://wj.qq.com/s2/27192951/851f/

1. Bridging Academia and Industry: University Doctors and Center Leaders

In the core mentor team, several doctors and leaders from the Hong Kong Polytechnic University Business School and TGG Stablecoin and RWA Innovation Center will be responsible for building the theoretical and methodological framework of the incubation camp. They have long-term accumulation in stablecoins, real-world assets (RWA), and financial research, helping students to understand how AI deeply integrates with finance, industry, and asset research from a more systematic perspective.

These mentors not only participate in course design but also provide dual feedback on academic and industry aspects for students' research paths and tool applications during case analysis and project evaluation sessions. For students who hope to include research results in university case libraries, achievement manuals, or subsequent academic collaborations, this is a rare opportunity for connection.

2. Tool and Engineering Perspective: Technical Partners and Practical Instructors

Technical partners from Uweb and mentors with extensive experience in engineering and tool practice will focus on the "tool training" and "workflow building" sections of the incubation camp. They will explain how to combine large models, APIs, and various tool components into runnable investment research processes from an engineering mindset, and guide students in completing practical demos during co-creation classes.

This group of mentors is particularly skilled at breaking down complex technologies into actionable steps, enabling students to not only learn "how to use tools" in 8 weeks but also to build their own AI investment research skills, utilize Uweb's tokens and APIs, and validate the efficiency and stability of workflows in real environments.

3. Investment Research and Content Influence: Experienced Investors and KOL Mentors

The incubation camp has specially invited experienced investors and well-known KOLs with years of experience in technology investment, trading, and content operations to help students move from research results to content expression and influence building. They are familiar with multi-platform content ecosystems, investor perspectives, and user feedback mechanisms, guiding students to create personal brands that are professional and capable of reaching audiences through topic design, account management, and content reviews.

This type of mentor has rich experience in exchanges, global institutions, and Web3 research and a considerable follower base on social platforms, providing students with real dissemination channels and collaboration opportunities. For investment researchers wishing to build personal influence on platforms like Xiaohongshu and X, this will be an important step from behind the scenes to the forefront.

4. Cross-Disciplinary and Co-Creation: Vision Expansion from Diverse Background Mentors

In addition to academic and institutional mentors, the core team also includes collaborators from Web3 communities, content creation, and product co-construction with diverse backgrounds. They will participate in project co-creation classes and results presentation sessions, providing feedback on students' proposals and content from user, community, and product perspectives, helping projects to be more feasible and attractive in real scenarios.

It is this combination of "academia + engineering + investment research + content + community" that makes the "AI Investment Research Elite Incubator Program" not only able to teach students how to research but also guide them to turn research into works and turn works into opportunities.

Registration deadline is July 31. You are welcome to fill out the registration form to participate: https://wj.qq.com/s2/27192951/851f/

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