What problem does it solve?
This Skill helps investors systematically analyze how earnings estimates and management guidance are changing, and how those changes tend to translate into post-earnings price drift for US and Hong Kong equities.
Core Features & Use Cases
- Earnings revision momentum scoring: Assesses the direction and strength of estimate revisions using surprise, revision breadth, magnitude, and dispersion to infer likely continuation behavior.
- PEAD (post-earnings drift) signal design: Converts earnings surprises into a trade-relevant drift expectation using event persistence windows and enhancement filters like ownership, cap size, and combined surprise types.
- Management guidance analysis: Evaluates guidance raises, maintained signals, guidance cuts/withdrawals, and the language patterns that often precede stronger or weaker forward outcomes.
- Earnings quality checks: Flags potentially lower-quality beats via cash conversion, accrual behavior, non-GAAP gaps, and buyback-driven EPS effects.
Quick Start
Use the earnings-revision skill to produce an Earnings Revision Analysis report for a specific ticker by compiling consensus snapshot, last earnings event surprises, revision momentum, earnings quality indicators, and an overall directional signal.