Stata runs first — estimating five competing models, computing the ECT score, detecting the market regime, and locking all quantitative outputs. Claude receives those fixed values and interprets them. It cannot change a single number. The result is a weekly briefing that is simultaneously rigorous and readable.
Sentinel is built around a strict separation of functions. The statistical channel is deterministic and reproducible — Stata estimates expanding-window models, scores the current ECT deviation, and assigns a regime before any language model touches the data. Only then does Claude enter, operating strictly as an interpreter of locked outputs — validating, contextualizing, and translating into plain language.
The PC-1 narrative composite and the S&P 500 level are formally co-integrated — confirmed by Engle-Granger and Johansen tests. They are the same phenomenon expressed in different units. When they diverge, the ECT z-score measures that gap and the model forecasts mean reversion. The statistical channel locks that signal. Claude interprets what is driving it.
The same architecture — textual data scored and structured, then interpreted by an LLM operating on locked quantitative outputs — scales to any domain where language volume and sentiment carry information about future states. Customer communications, project status reports, regulatory filings, competitive intelligence. Sentinel is the live demonstration.
The Sentinel desktop product is available for licensing. The architecture — textual signal processing combined with hybrid cognition interpretation — is also available as a consulting engagement applied to your domain. Every inquiry begins with a complimentary discovery conversation.
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