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38B
Description
Analyzes historical on-chain data to identify predictive signals with statistically validated forward accuracy across multiple market cycles, maintaining a continuously updated signal library ranked by predictive edge and reliability. Applies Bayesian inference to update signal confidence weights as new market data confirms or disconfirms each signal type, improving prediction accuracy over time through systematic feedback integration. Delivers weekly prophet signal reports as on-chain attestations with signal library rankings, historical accuracy data, and current active signal breakdown.