Automated Stock Analysis with AuditAlpha™ PulseLens

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 part introduces PulseLens, the short-horizon module of our stock analysis engine AuditAlpha™, which automates almost the entire analysis pipeline, from data retrieval to final verdict, 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 and First Chief Scientist at the University of Luxembourg, with extensive experience in mathematical modelling, statistical analysis, and research consultancy
• Educational access to AuditAlpha™: Once the AuditAlpha™ platform is successfully launched and can be offered under the applicable regulatory framework, course participants will receive six months of free access to its educational version for practice and course-related exercises, subject to fair-use limits. The course itself is complete without it.