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Market Discoveries

As of 2026-11-07

Real signals detected daily from trade and ratings data — yield extremes, rating actions, credit spread moves, and volume anomalies. Confidence reflects data sample size, not investment quality.

All Signal Types Yield Extremes Rating Actions Spread Moves Volume Anomalies
All Confidence High Medium
Edelweiss Financial Services Limited traded 9.4x its 30-day median volume Volume Anomalies · 6 qualified trades · 2026-10-26 Confidence MEDIUM Explore Edelweiss Financial Services Limited traded 6.2x its 30-day median volume Volume Anomalies · 6 qualified trades · 2026-10-26 Confidence MEDIUM Explore Power Finance Corporation Limited traded 13.9x its 30-day median volume Volume Anomalies · 9 qualified trades · 2026-10-25 Confidence MEDIUM Explore Edelweiss Financial Services Limited traded 6.9x its 30-day median volume Volume Anomalies · 7 qualified trades · 2026-10-25 Confidence MEDIUM Explore Edelweiss Financial Services Limited traded 6.2x its 30-day median volume Volume Anomalies · 6 qualified trades · 2026-10-25 Confidence MEDIUM Explore Power Finance Corporation Limited traded 13.9x its 30-day median volume Volume Anomalies · 9 qualified trades · 2026-10-24 Confidence MEDIUM Explore Edelweiss Financial Services Limited traded 6.9x its 30-day median volume Volume Anomalies · 7 qualified trades · 2026-10-24 Confidence MEDIUM Explore Edelweiss Financial Services Limited traded 6.2x its 30-day median volume Volume Anomalies · 6 qualified trades · 2026-10-24 Confidence MEDIUM Explore Power Finance Corporation Limited traded 19.5x its 30-day median volume Volume Anomalies · 10 qualified trades · 2026-10-23 Confidence MEDIUM Explore Edelweiss Financial Services Limited traded 6.9x its 30-day median volume Volume Anomalies · 8 qualified trades · 2026-10-23 Confidence MEDIUM Explore Edelweiss Financial Services Limited traded 6.2x its 30-day median volume Volume Anomalies · 6 qualified trades · 2026-10-23 Confidence MEDIUM Explore

Showing 11 of 36 discoveries (page 2 of 2).

Every signal above is a fixed-threshold query over real trade, rating, and pricing data — not a model score or recommendation. See Methodology for data sources.