The Knowledge Layer
Research is the bridge between intention and action.
This is where assumptions are tested, frameworks are built, and understanding is refined through contact with reality. The goal is not to accumulate information, but to develop knowledge that holds under pressure.
What I Study
My research sits at the intersection of probability, risk, and human behavior under uncertainty.
The questions are simple. How do we make better decisions when outcomes are uncertain? How do we structure action so that discipline survives emotion? How do we measure what works and discard what does not?
The answers are not theoretical. They emerge from live environments where feedback is immediate and consequences are real.
Approach
Every framework shared here has been tested through direct application. Markets are my primary laboratory, but the principles extend beyond trading into any domain where decisions carry weight and information is incomplete.
The process is consistent: hypothesis, structure, execution, measurement, refinement. What survives contact with reality is kept. What breaks is discarded or rebuilt.
Themes
The research clusters around a few recurring themes: position sizing as the primary driver of outcomes, volatility as information rather than noise, asymmetry as the foundation of edge, and feedback loops as the mechanism of adaptation.
These are not separate topics. They are different lenses on the same underlying question: how do we act well under uncertainty?
Sharing
Research notes, frameworks, and observations are shared across YouTube, X, Substack, Medium, and this site as understanding evolves. Nothing is presented as final. Everything is version, not truth.
The work is offered as it stands, with the understanding that reality will continue to refine it.