earnings-revision

Analyze earnings estimate revisions and guidance changes to forecast post-earnings price drift.

Updated May 5, 2026
One-click install
npx skills add https://github.com/wudye/traderAssistHK --skill earnings-revision-wudye
Or copy as Structured Prompt for Agent
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Skill: earnings-revision
Source: https://github.com/wudye/traderAssistHK/tree/main/backend/src/skills/earnings-revision
Command: npx skills add https://github.com/wudye/traderAssistHK --skill earnings-revision-wudye

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you translate earnings estimate revisions, management guidance changes, and post-earnings reactions into actionable signals for predicting near-term price drift (PEAD).

Core Features & Use Cases

  • Revision momentum tracking: Quantifies how analyst consensus is moving (breadth and magnitude) to anticipate continuation or reversal.
  • Earnings surprise + PEAD framework: Maps beat/miss patterns into expected 60–90 day drift tiers and applies practical enhancement filters (e.g., dispersion, ownership, cap size).
  • Management guidance analysis + earnings quality checks: Interprets guidance raises/lowerings/withdrawals and flags potential earnings-quality red range behaviors to adjust confidence.

Use case: You’re analyzing a US or Hong Kong listed equity ahead of and after results; you want to know whether the market should continue repricing based on revision direction and guidance tone rather than just the headline EPS number.

Quick Start

Use the earnings-revision skill for a specific ticker by asking for a consensus snapshot, last earnings event interpretation (surprise, guidance change, quality flags), and the resulting bullish/neutral/bearish signal.

Frequently Asked Questions about earnings-revision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I forecast post-earnings price drift using estimate revisions and guidance changes?

Forecast post-earnings price drift by quantifying consensus revision breadth, mapping earnings surprise patterns into 60–90 day drift tiers, and assessing management guidance tone to generate a structured bullish or bearish signal.

What is PEAD and how does earnings surprise analysis predict continuation patterns?

PEAD, or post-earnings announcement drift, is the tendency for stock prices to continue moving in the direction of an earnings surprise. It maps beat or miss patterns into expected 60–90 day drift tiers using dispersion and cap size filters.

Can I analyze consensus momentum and earnings revisions for US and Hong Kong equities?

Yes, consensus momentum and earnings revisions analysis covers US and Hong Kong listed equities around earnings events, calculating revision magnitude, dispersion, and guidance-versus-consensus scoring to output actionable trading signals.

How do I interpret management guidance changes to adjust trading confidence?

Interpret management guidance changes by evaluating raises, lowerings, or withdrawals alongside earnings quality indicators. Flagging potential red range behaviors adjusts confidence in the resulting near-term price drift signal.

What standardized metrics are required to generate a structured earnings revision signal?

Generating a structured earnings revision signal requires standardized metrics including earnings surprise, revision breadth, dispersion, guidance-versus-consensus scoring, and earnings quality indicators to determine signal confidence.