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DaddyElonMusk69
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earnings-revision

Analyze earnings estimate revisions and guidance changes to generate investment signals.

Updated Apr 12, 2026
Search Tags:#guidance#analysis#signals#revision#earnings#equity#pead
One-click install
npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill earnings-revision-daddyelonmusk69
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-revision
Source: https://github.com/DaddyElonMusk69/motis-agent/tree/main/skills/finance/earnings-revision
Command: npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill earnings-revision-daddyelonmusk69

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides analysts and traders with a structured framework to track and interpret earnings estimate revisions, guidance changes, and post‑earnings price drift, turning raw data into actionable investment signals.

Core Features & Use Cases

  • Revision Momentum Analysis: Calculates consensus revision breadth, magnitude, and dispersion to gauge analyst sentiment.
  • PEAD Assessment: Evaluates post‑earnings announcement drift and suggests timing for trades.
  • Guidance Change Scoring: Scores management guidance revisions against consensus and prior guidance.
  • Earnings Quality Checks: Flags red‑flags in earnings reports such as cash‑flow divergence and accrual manipulation. Use case example: An equity analyst uses the skill to generate a signal report for a US ticker ahead of its earnings call, incorporating consensus revisions and guidance shifts.

Quick Start

Ask the skill to produce an earnings revision analysis for ticker XYZ for the upcoming quarter.

Frequently Asked Questions about earnings-revision

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

FAQPage Schema
How do I analyze earnings estimate revisions to generate equity investment signals?▼

To analyze earnings estimate revisions, calculate consensus revision breadth, magnitude, and dispersion to gauge analyst sentiment and generate actionable investment signals for US and Hong Kong equities during earnings seasons.

What is post-earnings announcement drift and how do I assess it for trading?▼

Post-earnings announcement drift (PEAD) is the tendency of a stock's price to continue moving in the direction of an earnings surprise. Assess PEAD by evaluating the drift to determine optimal trade timing after earnings calls.

How do I score management guidance changes against analyst consensus?▼

Score management guidance changes by comparing the new guidance revisions against both current analyst consensus estimates and prior guidance, providing a structured measure of management's outlook shift.

Can I check earnings quality for red flags like cash-flow divergence and accrual manipulation?▼

Yes, you can check earnings quality by flagging red flags in financial reports, specifically identifying cash-flow divergence and potential accrual manipulation to ensure the reported fundamentals are reliable.

What data is needed to perform PEAD assessment and revision momentum analysis?▼

Performing PEAD assessment and revision momentum analysis requires consensus data feeds and financial fundamentals, while guidance scoring calculations are optional inputs to satisfy research and trading workflows.

Does this earnings revision analysis work for both US and Hong Kong equities?▼

Yes, this earnings revision analysis applies to both US and Hong Kong equities during earnings seasons, providing revision momentum, PEAD assessment, and earnings quality evaluation for both markets.

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