Where Behavioral Science Meets Investment Education
Since 2018, we've been studying how people actually make financial decisions — not how textbooks say they should. Our research has shaped a completely different way of teaching investment mindset development.
The Canmore Method: Understanding Decision Patterns
Most investment education focuses on technical analysis and market theory. We started with a different question: why do smart people make predictably poor investment decisions? Our seven-year study of behavioral patterns led us to develop what we call the Canmore Method.
Pattern Recognition Training
Students learn to identify their own cognitive biases before they learn about market dynamics. We've found this sequence dramatically improves decision-making quality.
Simulation-Based Learning
Rather than theoretical examples, we use real market scenarios where students can observe their emotional responses without financial consequences.
Peer Analysis Framework
Students analyze decision patterns in small groups, learning to spot biases in others before recognizing them in themselves. This indirect approach proves more effective than self-reflection alone.
Long-term Tracking
Our follow-up studies track decision-making improvements over 18-month periods, allowing us to refine our methods based on actual outcomes.
Dr. Marcus Hendricks
Lead Behavioral Researcher
- PhD Behavioral Economics, University of Calgary
- 15 years studying investor psychology
- Author, "The Emotional Investor" (2022)
- Former research director at Canadian Investment Institute
- Published researcher in Journal of Behavioral Finance
Research Breakthroughs That Changed Our Approach
The 72-Hour Rule
Our 2023 study revealed that students who wait 72 hours before making investment decisions show 34% better long-term performance. We now build mandatory reflection periods into all our simulations.
Emotional State Mapping
By tracking students' emotional states during market volatility simulations, we identified specific triggers that lead to poor decisions. This became the foundation of our personalized learning paths.
Reverse Psychology Framework
Teaching students to argue against their own investment ideas proved more effective than traditional pro/con analysis. This counterintuitive approach is now central to our curriculum design.
Micro-Lesson Architecture
Breaking complex concepts into 7-minute learning modules, delivered at optimal cognitive moments, increased retention rates by 28% compared to traditional hour-long sessions.