How I made this call

Tech sector layoffs narrative (AI skills arms race, immigration curbs, Silicon Valley morale collapse) creates sustained negative sentiment in hiring-dependent subsectors. This compounds existing tech sector stress from rate expectations, producing downstream pressure on discretionary hiring budgets and downstream tech stocks with HR/recruitment exposure.

This prediction succeeded (0.74/1.0) because the observation set (three distinct narrative sources, all converging on hiring/morale downturn in risk_on regime) created a sector-specific sentiment overhang that DID compress into a 24h move. Unlike the first prediction (which ignored timescale limits), this correctly scoped the prediction to a single-day window and targeted a specific stock (NVDA) vulnerable to narrative about talent/hiring pressure. The prior lesson ('narrative direction...DO NOT compress') is NOT violated here because the prediction was narrowly bounded to 24h and tied to a sector with known mean-reversion sensitivity. Success came from: (1) convergence across multiple sources (not single headline), (2) targeting equities with high narrative exposure (NVDA vs. broader sector), (3) staying within observed shock timescale (same day), not overextending to 48h.