Most private investors buy on impulse, follow headlines, or trust someone else’s recommendation. This course teaches a different approach: structured analysis, disciplined risk management, and the use of professional-grade tools to evaluate trades systematically.
Developed by Your Science Luxembourg, the program reflects the analytical rigor we apply in consulting: clear methodology, repeatable processes, and an unwavering focus on protecting capital before chasing returns.
The objective is simple but demanding: equip you to assess any stock with confidence, understand the reasoning behind every signal, and know exactly how much risk you’re taking – before you commit capital.
Part I – Reading the Market: How to Find, Evaluate, and Size a Trade (6 hours)
- Fundamental analysis and company quality assessment
- Market regimes and relative strength dynamics
- Technical buy and sell signals
- Risk management: reward-risk ratios, position sizing, and correlation control
This module builds the complete decision framework – from trade identification to exit strategy.
Part II – Your Edge at Scale: Putting a Professional Analysis Engine to Work (4 hours)
- Understanding inputs, outputs, and the logic of a Python-driven analytical engine
- Automated data retrieval, event calendars, and validation frameworks
- Operating the tool with confidence – no coding required
This module gives you hands-on access to an engine that automates the entire analysis pipeline in minutes.
Part III – Live from the Market: Real Trades, Real Decisions (4 hours)
- Case studies: Broadcom, TSMC, Nvidia, Meta, Amazon, Caterpillar, Schneider Electric
- Analyzed at actual decision points in early 2026
- Applying the methodology under genuine market conditions – not sanitized hindsight
This module stress-tests the framework against real stocks in real time.
Format & Delivery
- Online delivery via Microsoft Teams
- 7 sessions of 2 hours (10:00-12:00), structured as 3 + 2 + 2 across approximately 3.5 weeks
- Over 100 pages of professionally written lecture notes covering methodology, case studies, and engine operation
- Limited class size to ensure individual attention
- Course-related support by email, with brief follow-up calls available at the instructor’s discretion
- Instructor: Prof. Norbert Poncin – founding director of the Department of Mathematics at the University of Luxembourg, sworn expert in data analysis and AI, with extensive experience in mathematical modelling, statistical analysis, and research consultancy
- Bonus: Participants receive a complimentary 30-day (or 30-run) license to the cloud-based stock analysis engine (value €25+), activated when the platform goes live (launch planned for Q2 2026)
The next session will be scheduled in consultation with participants once the first 5 enrollments are confirmed.
This is not a get-rich-quick seminar. It is rigorous financial education taught with academic and consulting standards.
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