Stock Market Simulation Project –
Module at FOM University of Applied Sciences
Lecturer: Prof. Dr. Alexander Zureck. Develop a strategy, implement it with CapTrader, and present the results in a well-founded manner.
🎓 Introduction
Dear Students
Here you will find additional learning material for the module “Stock Market Simulation Game”. It helps you to better understand the content – and to successfully master the assessment.
The module is more than just theory: Together with my colleagues Eric Frère, Ilja Schaab, and Jan Heyder , we have developed it over the years – by FOM graduates for FOM students. With gamification, learning comes alive: Theory is directly applied in practical exercises.
– Prof. Dr. Alexander Zureck
A Look Behind the Scenes
🎯 Objective of the module
In the stock market simulation, students develop their own trading strategy in groups, implement it via the CapTrader trading platform, and reflect on the results in a scientifically sound manner. Strategies (day trading, swing, value, dividends), theory (Markowitz, Fama, Tversky/Kahneman) and biases (home bias, overconfidence, herding) are covered. Modern tools such as CapTrader, TradingView and Morning Briefing can be used.
🎓 Examination performance
Group Presentation (no video work)
4 milestones lead to the final presentation (January/February). Presentations can either be held live or uploaded as a video (PDF upload of slides after the presentation, 1 upload per group). Registration via the online campus.
- Group names: choose a European city
- Appointment slots: January/February (2 × 4 teaching units)
- Upload: final PDF after the presentation
Milestones
- Persona: Investor Profile (Profession, Income, Time Budget, Risk Appetite, Time Horizon)
- Strategy: Day Trading / Swing / Value / Dividends (Justification & Literature Reference)
- Implementation: Execute & document trades/investments on CapTrader
- Reflection: Results vs. Assumptions, Theoretical Linkage (Markowitz, Fama, Tversky/Kahneman), Biases
The goal is the comparable implementation (CapTrader usage) and reflective classification using portfolio theory & behavioral finance.
📅 Organization & Support
Organization
- Group Size: max. 5 students
- Registration for the exam: Online Campus (Please observe deadlines)
- Communication: exclusively via @fom-net.de
❗Missed deadlines → Retake the module next semester.
Office Hours / Group Appointments
If you get stuck, book a consultation by clicking the button.
- Individual group appointments via Calendly (up to 5 participants per slot).
- Important: Do not pass on the link – please have all group members register themselves. Exchange between groups is encouraged.
🖥️ Presentation
Layout & Style
Goal: clean, fact-based, easy to read – as with IR decks of large corporations.
- Light background, dark font (uniform requirement)
- Tools allowed: PowerPoint, Keynote, Canva, Google Slides
- Inspiration: Investor Relations slides (e.g., BASF) or Bundesbank presentations
- AI tools allowed (e.g., ChatGPT, Gamma AI) – content counts
Content (Guidelines)
- Strategy Derivation & Delimitation (Day Trading/Swing/Value/Dividends)
- Risk-Return Profile, Diversification (Markowitz)
- Market Efficiency & Factors (Fama, possibly Fama-French)
- Biases: Home Bias, Overconfidence, Herding (Tversky/Kahneman)
- Transparent CapTrader Documentation (Comparability)
🔗 Useful Links & Support
Useful links
Office Hours / Group Appointments
If you get stuck, book a consultation by clicking the button.
- Individual group appointments via Calendly (up to 5 participants per slot).
- Important: Do not pass on the link – please have all group members register themselves. Exchange between groups is encouraged.