earnings-revision

Analyze sell-side analyst estimate revisions by quantifying consensus changes, evaluating management guidance shifts, and tracking post-earnings price drift to generate actionable equity investment signals. This Skill processes US and HK market data to evaluate revision breadth and earnings surprise patterns.

Post-earnings price drift (PEAD) is the tendency for stock prices to continue moving in the direction of an earnings surprise. This Skill identifies alpha-generating opportunities by analyzing earnings surprise patterns, consensus estimate revisions, and historical surprise performance to evaluate momentum.

Check earnings quality by evaluating management guidance changes and financial quality metrics to flag potential risks like accrual manipulation. This Skill synthesizes revision breadth and earnings surprise patterns to determine whether an earnings beat reflects genuine momentum or artificial EPS boosts.

Yes, you can process US and HK market data to evaluate consensus trends and historical surprise performance. The Skill requires integration with financial data providers to assess sell-side analyst estimate revisions, management guidance changes, and post-earnings price drift.

You should not rely on earnings momentum analysis when financial data provider integration is unavailable, as the Skill requires this connection to assess consensus trends. Additionally, without sufficient revision breadth or historical surprise data, signals may lack the context needed for long or short positions.