Built on Academic Rigor
The foundation of our analytical framework emerged from Dr. Helena Marchant's doctoral research at University of Toronto, where she examined the disconnect between traditional financial models and actual market behavior during periods of high uncertainty.
"Standard models assume rational actors, but markets are driven by humans making decisions under stress, with incomplete information, and often conflicting motivations. We needed a system that accounts for these realities."
What started as an academic exercise evolved into something much more practical when we began testing our theories against real market data from 2019 through 2024. The results were striking — our behavioral-adjusted models consistently outperformed traditional approaches, particularly during volatile periods where human psychology plays the largest role.
This isn't about replacing fundamental analysis, but rather enhancing it with insights from cognitive psychology and behavioral finance. We study how information cascades influence decision-making, how confirmation bias affects portfolio management, and how loss aversion creates predictable market inefficiencies.
