Cortex Sentinel 交易枢纽

SolaraX – Multi‑Vote Sentiment Aggregation Engine

SolaraX is a sovereign sentiment‑fusion framework that ingests opinion signals from six distinct voter pools—prediction markets, social discourse, on‑chain governance polls, macroeconomic surveys, news headline classifiers, and a Kronos‑tier foundation language model—then runs a multi‑stage “Deliberative Chamber” arbitration. The system does not execute trades; instead, it produces a conviction‑weighted consensus score for any binary or multi‑outcome question, enabling decision‑makers (traders, DAO voters, analysts) to act on aggregated crowd intelligence without exposing proprietary execution logic.

Metaphor: If a single prediction market is one person shouting a number in a stadium, SolaraX is the stadium’s entire acoustic architecture—capturing every shout, echo, whisper, and cough, then reconstructing a single coherent signal the size of the crowd itself.

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Overview

Conventional sentiment aggregation relies on a single data source or a simple average of polls. SolaraX replaces this with a debate‑based reconciliation engine inspired by the Socratic method. Six independent “sources” each produce a probability distribution and a confidence interval. A set of three adjudicators (Bull, Bear, and Judge) then cross‑examine the sources using a Claude Opus‑level reasoning layer, identifying contradictory assumptions, weighting source reliability by historical calibration, and resolving epistemic friction into a single actionable score.

This architecture is designed for asymmetric conviction—the system explicitly flags situations where consensus is fragile (low inter‑source agreement) versus robust (high agreement across independent methodologies). The output is not a simple number but a 3‑tuple: {consensus probability, conviction level, epistemic risk flag}.

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