Prediction is only the beginning.
Durable edge requires more than a model output. It requires clean data, calibrated probabilities, market awareness, execution discipline, and risk systems that hold up under live conditions.
Where our research is focused.
Prediction Markets
Pricing uncertainty where information, liquidity, and probability converge.
→02Sports Market Intelligence
Modeling live state, market movement, player performance, and fair value.
→03Execution Quality
Studying fill probability, queue position, slippage, and adverse selection.
→04Risk & Capital
Connecting signal quality to sizing, exposure, drawdown, and attribution.
→Built on research discipline.
StatMind approaches markets through hypothesis generation, temporal validation, calibration review, failure analysis, and controlled deployment, separating durable signal from noise before capital is put at risk.
Hypothesize
Every strategy begins as a written, falsifiable claim about a specific mispricing.
Validate
Walk-forward testing and calibration review separate durable signal from noise.
Monitor
Live models are watched for drift, distribution shift, and decay in production.
Attribute
P&L is decomposed to strategy and factor so we know exactly what is working.