How I work

Intuition first, code second.

Discretionary trading taught me what being wrong actually costs. So I let the market ask the question first, and use Python to check whether my intuition survives contact with the data — not to go hunting for patterns in noise.

Nothing is fixed.

I don't treat markets — or much else — as a settled science with permanent rules. They're behavior: regime-dependent, context-driven, always drifting. Most of my research is about noticing when the rules have quietly changed — hidden-Markov states, correlation structure, tail behavior — and adapting before the average catches up.

Report it straight.

Every figure here is labelled: live or backtest. A strategy at 0.3 Sharpe is a strategy at 0.3 Sharpe, and I'll say so before you ask. I'd rather be trusted than impressive.

Sharp alone, sharper together.

I go deep alone — long, focused stretches on one problem are where I actually learn my field. But some of my best thinking has come from rooms full of different minds. I've worked across cultures and disciplines, and reflecting with other people has a way of exposing what solo conviction hides. I want both, and I think the work needs both.

Specialized, endlessly curious.

I want to be genuinely specialized — and I read widely on purpose. Philosophy, history, the way people behave: the seed of a good market idea rarely comes from inside finance. Curiosity is how I keep growing, not just applying what I already know.

The work mirrors the person.

Discipline from martial arts, a habit of reflection, expression through art and sport — these aren't time off from the work, they're the source of it. How I move through markets is how I try to move through everything: observe, adapt, stay humble to the fact that context changes. My character shapes my work and my work sharpens my character. It's a match, not a compromise.