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All AI model signals ranked by conviction score

Rank	Ticker	Class	Tier	Score	Prob Up	Horizon	Factors
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Methodology. Conviction score = (prob_up − 0.5) × 2 × predicted_confidence × 100. Range: −100 (fully bearish) to +100 (fully bullish). Primary horizon h=1. Signals sourced from data/forecast-ledger-backfill-enriched-real-77t; top 200 by conviction. Auto-refresh every 120s. Methodology hash: signals-2026-06-04-v1.