How BrainPredict Works
BrainPredict analyzes Polymarket markets by combining price data, historical performance and domain-specific context. Signals are statistically calibrated and then validated by an AI layer before publication.
Our Analysis Pipeline
For every market we follow, we cross:
- Current market prices and volumes
- Historical performance of related events or teams
- Domain-specific contextual data (politics, sports, macro, etc.)
These signals are then calibrated statistically using past results.
Statistical Calibration
We continuously measure the accuracy of our estimates against real outcomes. Approaches that do not hold up statistically are discarded, even if they looked promising in theory.
AI Validation Layer
After statistical calibration, every candidate signal is reviewed by an AI validation layer. Only signals that pass this final filter are published.
Free vs Real Predictions
Free predictions are used for continuous learning and public transparency. Scores can vary. Real predictions must pass a much stricter confidence and expected value threshold before publication.
Why We Evolved Our Method
We started with a broader set of experimental approaches. Over time, we narrowed the methodology to keep only what has proven statistically robust and profitable on real results. This discipline (test, measure, keep only what works) is at the core of BrainPredict.