Markets are systems of belief, incentive, and constraint.

StatMind studies how probabilities are formed, expressed, challenged, and repriced in event-driven markets.

What is known, by whom, and how it reaches participants. The path information travels is often more tradable than the information itself.

How participants convert incomplete information into subjective probabilities, and where that conversion is systematically imperfect.

Whether a belief can be expressed at size without moving the price. A correct view in a thin market is not the same as an edge.

What participants are actually optimising for, which is frequently not what a naive model assumes they are.

The capital, mandate, and risk limits that bound what any participant can do, regardless of what they believe.

The equilibrium where every layer above resolves. We read it as a probability statement, net of fees and structure, and ask where it is wrong.