COTRUGLI AI Investing Lab — Fall 2026
Next live • Monday, October 26, 2026

A fresh perspective.Your next move.

COTRUGLI AI Investing Lab — Investing in the Age of Artificial Intelligence with Professor Dan Ye.

Join Lecture 5 — Guest Speaker on Monday, October 26 for market perspective and applied discussion. Bring your portfolio questions and connect the Lab’s ideas to your next investment decisions.

Lecture 5 · Oct 26 4 recordings available 4 live sessions remaining $100,000 simulated portfolio
AI INVESTING LABProfessor Dan YeInvesting in the Age of Artificial Intelligence
Up next · Lecture 5

Guest Speaker

Monday, October 26, 2026

Bring your questions. Build your perspective.

The next scheduled session brings market perspective and applied discussion to the Lab. Review your portfolio, think through your recent trades, and come ready with the questions that matter to your strategy.

For current participants

Keep your portfolio moving.

Get ready for the Guest Speaker session on October 26. Catch up on four recordings, review your simulated portfolio, and prepare questions for the discussion.

Step 01

Watch all four classes

Review the introduction, trading strategies, quantum computing and blockchain sessions at your own pace.

Go to recordings →
Step 02

Open the stock game

Enter the Fall 2026 MarketWatch competition using your full name and start managing your simulated $100,000.

Open MarketWatch →
Step 03

Study the portfolios

If you are unsure where to start, look at strong performers and learn from the positions and strategies they chose.

Explore the game →
Step 04

Trade — then explain why

Buy, sell or rebalance, and submit a short rationale explaining the decisions behind your trades.

Submit trade rationale →
Step 05

Prepare for October 26

The next scheduled class is Guest Speaker: market perspective and applied discussion. Bring questions about your portfolio and the decisions behind your trades.

See the schedule →
Class recordings

Catch up. Come ready for October 26.

Revisit the discussions as you build your portfolio. All four recordings are available, including Lecture 4 from October 12.

Class 1 · August 31

Tech Trends of the Next 10 Years

Introduction to the Lab, portfolio framing, and the technology themes that will shape the semester.

Class 2 · September 14

Trading Strategy Workshop

Portfolio strategy discussion, peer examples, and practical thinking about how to refine your approach as the competition develops.

Class 3 · September 28

Quantum Computers

Explore quantum computing, then continue with Lecture 4 for the follow-up discussion and blockchain technology.

Class 4 · October 12

Quantum Computer & Blockchain Technology

Catch up on Lecture 4 before the Guest Speaker session on October 26.

Watch on YouTube →
Next live class · Monday, October 26

Lecture 5 — Guest Speaker

Market perspective and applied discussion. Review your portfolio and prepare your questions for the next live session.

Prepare for October 26
The experience

This is not a passive investing course.

This is already underway. Manage your portfolio in the stock game, decide what to buy, sell, hold or rebalance, explain why — and use all four recordings to revisit the discussions.

01

$100,000 simulated capital

Start with a virtual portfolio and make decisions in a live semester-long challenge.

02

Portfolio competition

Use the MarketWatch competition environment and track how your decisions perform.

03

AI-assisted analysis

AI tools are encouraged in research, discussion and assignments.

04

Investor frameworks

Explore lenses associated with Buffett, Swensen, Cathie Wood, Peter Diamandis and others.

05

Explain the thesis

Every trade becomes an argument: what do you believe, and what would prove you wrong?

Future technologies

Invest in the technologies shaping the next decade.

The course moves from broad technology trends into concrete investment questions — turning emerging technology into decisions inside your portfolio.

Theme 01

AI & the next generation of technology

AI
Theme 02

Trading strategy & investor frameworks

↗
Theme 03

Quantum computing

Q
Theme 04

Blockchain & digital infrastructure

B
Theme 05

Humanoid & bipedal robotics

R
Theme 06

Energy storage & Grid 2.0

E
Theme 07

Biotech & bioengineering

Bio
The question

Which thesis survives the market?

?

Build the portfolio.
Test the thesis.

The objective is simple to understand and difficult to achieve: become a better investor by making disciplined decisions and learning whether your thesis survives contact with the market.

You will prepare, debate, invest or rebalance, explain the “why” behind your decisions, and reflect on the results as the semester unfolds.

Benchmark: S&P 500 / market performance
Professor Dan Ye
Professor • Investor • Educator
Dan
Ye
Meet Professor Dan Ye

Learn with an investor working at the intersection of technology and markets.

Dan Ye is an attorney, investor and educator who teaches at Johns Hopkins. His background includes founding Sinautec Automobile Technologies, an ultracapacitor-bus company, and the AI consulting company CollegeNode. He has appeared in media discussing artificial intelligence and education.

For the COTRUGLI Fall 2026 pilot, the course is designed around one practical goal: improve investment judgment and the ability to understand what is happening across finance and technology.

Johns Hopkins educatorTechnology entrepreneurAI & robotics policy experienceInvestor
Fall 2026

Eight sessions. One evolving portfolio.

Four classes are complete and their recordings are above. Next is Guest Speaker on October 26, followed by three more sessions through December 7.

Aug 31
Tech Trends of the Next 10 YearsIntroduction and portfolio framing
Sep 14
Trading Strategy WorkshopInvestor frameworks and decision discipline
Sep 28
Quantum ComputersWhat becomes computable — and investable?
Oct 12
Quantum Computer & Blockchain TechnologyFinishing quantum computing, then exploring blockchain
Nov 9
Bipedal RobotsAutomation, labor and the robotics supply chain
Nov 23
Energy Storage & Grid 2.0Infrastructure for the next energy system
Dec 7
BiotechFinal portfolio review and winners announced
Designed for COTRUGLI

Live enough to be dynamic. Flexible enough for working professionals.

The pilot combines live international teaching with asynchronous access through cotrugli.online for enrolled participants.

8 × 90 minLive sessions every other Monday.
Zoom + onlineLive delivery through Zoom / cotrugli.online.
4 available nowClasses 1, 2, 3 and 4 are embedded above; future sessions will continue to be recorded.
Students + alumniNo finance background required in the existing lab model.
Performance & awards: Professor Ye announced $20 strategy-sharing awards for top portfolio performers and the class GOAT. The program also includes a potential real $10,000 investment opportunity for top participants, subject to the relevant competition rules and final COTRUGLI eligibility terms.
Your questions, answered

Get more from the Lab.

Professor Ye’s answers to participants’ most common questions, plus practical help with classes, recordings and your simulated portfolio.

From Professor Ye

Three questions raised by participants

How soon could AI replace most human jobs?

Professor Ye’s view is that the pace depends on the type of work. In his message to the class, he gives a conservative estimate of around ten years and encourages participants to think about saving and investing over that horizon. This is his estimate, rather than a confirmed timeline.

For more on his perspective, watch his recent interview.

Watch Professor Ye’s interview
What can my country’s government do about AI’s impact?

Professor Ye points participants, particularly those from Canada and Europe, to a short clip by Yuval Harari as a starting point for this discussion.

Watch the clip and bring your questions about government responses and AI’s wider effects to class.

Watch the Yuval Harari clip
My simulated portfolio is underperforming. What can I do?

Professor Ye says there is no magic bullet. He recommends studying the portfolios of stronger-performing classmates and listening to how they explain their decisions.

Use the simulation to learn from their strategies: examine what they bought, why they bought it, and how their approach compares with yours. Treat each trade as a chance to test an idea and learn through trial and error.

Explore classmates’ portfolios

Classes & access

Prepare for the next live discussion

What is the next lesson?

Lecture 5 — Guest Speaker is scheduled for Monday, October 26, 2026, with market perspective and applied discussion. Review your portfolio and bring questions about your recent decisions.

See the next lesson →
Where can I watch past classes?

All four class recordings are embedded on this page, including Lecture 4 from October 12: Quantum Computer & Blockchain Technology. Use them to catch up before October 26.

Browse all four recordings →
Do I have to attend live, and how should I ask questions?

Live participation is encouraged. Professor Ye recommends asking questions directly in class, where it is easier to discuss them than by email.

Classes 1–4 are available as recordings, and future recordings are planned so participants can catch up asynchronously. Use your course access on cotrugli.online for live-session information.

Access cotrugli.online →
Do I need a finance background?

No finance background is required in the existing Lab format. Curiosity, critical thinking and a willingness to make decisions under uncertainty matter more.

Portfolio challenge

Trade, explain your thinking, and learn

Is the $100,000 real money, and where do I start?

The $100,000 is simulated capital. Enter the Fall 2026 MarketWatch stock game using your full name and start managing your virtual portfolio.

Open the stock game
How do I explain the decisions behind my trades?

Submit a short rationale explaining why you bought, sold, held or rebalanced. Describe the investment idea behind your decision and what you expect to learn from it.

Submit a trade rationale
Can I use AI tools?

Yes. The course encourages AI tools in research, discussion and assignments. Share which tools you used and how effective they were.

How is performance measured?

Professor Ye’s existing course model benchmarks portfolio performance against the S&P 500. COTRUGLI is finalizing the exact academic assessment rules for the credit-bearing version.

Are there prizes?

Professor Ye has announced $20 strategy-sharing awards for top portfolio performers and the class GOAT. A potential real $10,000 investment opportunity for top participants remains subject to the relevant competition rules and final COTRUGLI eligibility terms.

Still have a question?

Bring it to the next live class. Professor Ye encourages asking directly so the whole group can learn from the discussion.

Next lesson · October 26

Your next perspective. October 26.

Lecture 5 — Guest Speaker
Join the next scheduled AI Investing Lab session for market perspective and applied discussion. Bring your portfolio questions and prepare to explain your next move.

Get ready for the next lesson

Need to catch up? All four class recordings are available above.