StatMind
Data center infrastructure with abstract network connections.

Market Making & Execution

Edge must survive contact with the order book. Execution quality is where good signals are quietly won or lost.

Edge must survive contact with the order book.

A signal that looks attractive before execution may become fragile after spread, liquidity, queue position, slippage, and adverse selection are considered. StatMind studies the difference between theoretical opportunity and realized trade quality.

01

Order book dynamics

How depth, spread, and flow evolve, because the book we trade into is never the book we saw.

02

Fill probability

The likelihood and timing of a fill, estimated rather than assumed at the mid.

03

Queue position

Where an order sits in the queue, and how that changes what it can reasonably expect.

04

Spread and slippage

The distance between decision price and realized price, measured on every order.

05

Adverse selection

How often a passive fill is the one an informed counterparty wanted, and what that costs.

06

Execution quality

Fills benchmarked against decision price with implementation shortfall, not flattered against the mid.

07

Post-trade attribution

Decomposing realized outcomes to their source so execution research compounds over time.

Alpha boundary

Public materials describe the execution problems we study, not the live rules used to quote, route, size, pause, or adjust orders.

NextRisk & Capital Allocation