A live online lab where students point real AI agents at real markets — and learn why most “trading bots” are lying.
This is education — not financial advice. Students use historical and delayed data to learn AI and data science. No real money, no live trading, and no buy/sell recommendations — ever. A core goal is learning how markets and models can mislead people. Real decisions require a licensed professional.
Students combine the AI-agent skills from Level 1 with real market data to build a working analyst tool — while learning to see through hype the way a professional does.
Type a company and get charts, indicators, volatility, sentiment, and a plain-English AI explanation.
Four agents — Data, News, Risk & Skeptic, Writer — that work together like a real analyst desk (built with CrewAI).
A polished, research-style market brief — a standout artifact for college applications.
Four weekly 2-hour live sessions. Small groups, with all data and AI access provided — nothing to install or pay for.
It's easy to show a backtest that “made millions.” The real skill — the one colleges and mentors respect — is seeing through it. Students leave able to question a flashy AI result instead of trusting it.
A real web app students build and demo — not a notebook that prints text.
Price & moving-average charts, volume, and the data behind a company.
RSI, volatility, and a clear read on momentum and risk.
A structured, honest market brief — with a built-in skeptic warning.
8 hours of live instruction over 4 weeks
No. This is an educational data-science and AI course using historical, delayed data. There's no real money, no live trading, and no buy/sell advice. The most valuable thing students learn is healthy skepticism about flashy financial claims.
It's strongly recommended — this Level 2 lab builds on the AI-agent skills from Level 1. Students with solid Python and AI basics from elsewhere can also fit; reach out and we'll help you decide. Enrolled students get Python and AI-math prework on our portal.
Both, by design. Students build a genuine analyst tool with real data, but the heart of the lab is critical thinking — overfitting, survivorship bias, and why “past performance” warnings exist. That maturity stands out on applications.
A working AI Market Analyst dashboard, a one-page market brief for their portfolio, and a Research Ignited Level 2 certificate. Strong students can extend the project into our Research Program.
A standout project, an honest education in AI and markets, and a credential that means something. Seats are limited.
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