The engine that powers Preda. Aggregating, normalizing, and smoothing belief signals across heterogeneous data sources to provide a single, tradeable truth.
Ingests raw signals from social sentiment oracles, probability aggregators, and AI consensus feeds.
Applies domain-specific weighting and calibration to harmonize disparate signal types.
Filters out transient noise and volatility using advanced decay functions.
Identifies structural changes in belief states that trigger market resolution events.