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Daily Alpha Report: Tuesday, December 16, 2025

DAILY
2025-12-16
Generated 12/16/2025, 6:35:00 PM
7 sources

Daily Alpha Report: Tuesday, December 16, 2025

Generated at 2025-12-16T18:35:00.582Z

Executive Summary

NVDA leads the alpha ranking at 57.4.
MSFT saw the biggest decline (-17.2 alpha).

Alpha Leaderboard

RankTickerAlphaChange
#1 (+2)NVDA57.4-2.1
#2 (+2)GOOGL46.9-10.2
#3 (-2)MSFT46.1-17.2
#4 (-2)AMD45.9-14.5
#5 (—)INTC41.7-12.1
#6 (—)AMZN40.5-10.3
#7 (+28)SNOW38.6+6.9
#8 (+8)ORCL38.4+1.2
#9 (+5)OPENAI37.7-0.6
#10 (-2)META37.3-7.0

Notable Movers

  • NVDA: 2 positions up (alpha -2.1)
  • GOOGL: 2 positions up (alpha -10.2)
  • MSFT: 2 positions down (alpha -17.2)
  • AMD: 2 positions down (alpha -14.5)
  • INTC: 0 positions down (alpha -12.1)

Divergence Radar

Stocks where alpha signal diverges significantly from price action.

  • CRUS [FROTH RISK]: Divergence +0.0, Alpha 26.8
  • UMC [FROTH RISK]: Divergence +0.0, Alpha 29.1
  • STABILITY [FROTH RISK]: Divergence +0.0, Alpha 26.3
  • COHERE [FROTH RISK]: Divergence +0.0, Alpha 30.0
  • ALGM [FROTH RISK]: Divergence +0.0, Alpha 26.8

Active Alerts

  • ALPHA_SPIKE (10x) (CRM, ADBE, MSFT...)
  • RANK_JUMP (81x) (CRUS, CSCO, WDAY...)
  • EARNINGS_UPCOMING (1x) (MU)

Sourced Research

Market Intelligence

Google (GOOGL) is aggressively expanding its TPU ecosystem as a Nvidia alternative, powering Gemini 3 with seventh-generation Ironwood TPUs and seeking sales to Meta (billions starting 2027) and Anthropic (up to 1M TPUs in 2026 via Google Cloud).[1][2][3][4] TPUs integrate 6-8 HBM modules per chip (SK Hynix supplying HBM3E now, likely 12-layer HBM3E for "7e" TPU), offering up to 80% cost savings vs. Nvidia H100 while outperforming H200; Google may use Intel EMIB packaging for TPU v9 around 2027.[1][2][4] It opened its largest non-US AI hardware hub in Taipei and plans AI glasses in 2026 powered by Gemini on Android XR.[5][7]

Microsoft (MSFT) has no specific developments in AI hardware or semiconductors reported in the last 7 days.[web:0-6]

AMD is gaining traction as a Nvidia alternative for inference workloads, matching or exceeding equivalent Nvidia performance with annual hardware updates; positioned for cloud/local AI infrastructure amid Nvidia supply constraints.[2] No other AMD-specific news in the last 7 days.[web:0-6]

Sources:



Signal Health


This report was auto-generated by Silicon Analysis. All research sections include citations to primary sources.

Signal health data unavailable