ATLASAn investment game for business schools
Business schools want students who can defend an investment with numbers. A challenge on real prices makes them practise exactly that, under the pressure of a ranking and a deadline.
Beyond a leaderboard
The aim is not to pick the winning stock; it is to build a portfolio, measure its risk and explain it. That is why the format rewards more than raw return: it can recognise risk-adjusted performance and the quality of the investment thesis.
Connected to the curriculum
Students apply what is taught in valuation, portfolio theory and risk management to live data.
- Valuation: fair value, multiples and cash flows of real companies
- Risk: volatility, beta, correlation, drawdown and scenarios
- Portfolio construction: weights, diversification and constraints
- Communication: a written report and a team presentation
Industry in the room
A challenge can include guest speakers and a jury from industry. In the first ATLAS challenge, the jury included senior leaders from Vanguard and Crédit Agricole CIB, together with IE University and ATLAS.
An international classroom
The platform handles an international cohort, with several languages and global market coverage for analysis, so mixed classes work well.
Frequently asked questions
Can we adapt the rules to our programme?
Yes. ATLAS builds each challenge with the faculty, including dates, teams, limits and prizes.
Does it replace theory classes?
No. It gives them a laboratory: students test valuation and risk concepts on live prices.
Can it be part of the grade?
Many professors grade the written report, the presentation and participation; the dashboard provides the data behind each.
Related guides and terms
Run a challenge in your course or club
Tell us your dates, your students and your goals. ATLAS sets up the rules, the teams and the ranking, and you follow the whole class from one dashboard.
ATLAS challenges are educational simulations: they use virtual money and are not investment advice. Not investment advice. ATLAS estimates are produced by statistical models from public data; they can be wrong and past performance does not predict future results. Consider your own situation before investing. Disclaimer