StatMind
Data center infrastructure with abstract network connections.

Research systems for pricing and trading uncertainty.

StatMind develops quantitative systems for forecasting, fair value estimation, market intelligence, execution research, and risk management.

Overview

Systems, not tips.

We build the models, infrastructure, and research workflows that turn noisy market data into calibrated probabilities and risk-aware positions.

How it connects

From signal to execution.

Every capability below is a stage in one pipeline: estimate fair value, find residual edge, size it against risk, execute it against real liquidity, and monitor it in production.

Capabilities

01

Quantitative Research

Forecasting, residual edge, calibration

02

Prediction Markets

Where information, probability, liquidity converge

03

Sports Market Intelligence

Live event markets as financial instruments

04

Market Making & Execution

Edge must survive the order book

05

Risk & Capital Allocation

Sizing follows evidence

06

Research Infrastructure

Reliable research needs reliable systems