earnings-revision

Analyze earnings revisions, guidance changes, and post-earnings price drift.

Updated May 25, 2026

Search Tags:#financial analysis #equity markets #post-earnings drift #earnings revisions #management guidance

Ready to run

npx skills add https://github.com/NigarumOvum/AutoTrading --skill earnings-revision-nigarumovum

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: earnings-revision
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/earnings-revision
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill earnings-revision-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, yfinance, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive analysis of earnings revisions, management guidance, and post-earnings announcement drift, helping investors identify potential investment signals.

Core Features & Use Cases

Earnings Revision Analysis: Track analyst consensus changes, earnings surprise patterns, and management guidance shifts.
Post-Earnings Announcement Drift (PEAD): Analyze price drift in the direction of earnings surprises for 60-90 days post-announcement.
Management Guidance Analysis: Evaluate the significance of management guidance changes and their impact on stock prices.
Earnings Quality Indicators: Identify red flags in earnings reports and score the quality of earnings.
Multi-Market Considerations: Compare and contrast earnings practices and analysis across different markets (US, HK equities).

Quick Start

Use the earnings-revision skill to analyze the consensus earnings revisions for Company XYZ over the past quarter.

Frequently Asked Questions about earnings-revision

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

FAQPage Schema

What is post-earnings announcement drift and how do earnings revisions affect stock prices?▼

Post-earnings announcement drift (PEAD) is the tendency for stock prices to continue moving in the direction of an earnings surprise for 60-90 days. Tracking earnings revisions and management guidance shifts helps identify these momentum signals for equity markets.

How do I analyze management guidance changes and earnings surprise patterns for investment signals?▼

You can analyze management guidance changes by tracking analyst consensus shifts and evaluating the significance of guidance updates. This Skill processes financial data to identify earnings surprise patterns and score earnings quality to generate investment insights.

Can I use earnings revision analysis for both US and Hong Kong equity markets?▼

Yes, earnings revision analysis supports multi-market considerations, allowing you to compare and contrast earnings practices across US and Hong Kong equities. It evaluates management guidance shifts and PEAD to identify investment signals in different markets.

How do I identify red flags in earnings reports and score earnings quality?▼

You identify red flags by analyzing earnings quality indicators within financial reports. This Skill scores the quality of earnings by evaluating management guidance shifts, analyst consensus changes, and earnings surprise patterns to detect potential anomalies.

What financial data do I need to track analyst consensus changes and earnings revisions?▼

Analyzing earnings revisions requires real-time consensus data and financial analytics tools. The Skill utilizes yfinance, pandas, and numpy to process equity market data, tracking analyst consensus changes and earnings surprise patterns to detect investment signals.