earnings-revision

Track earnings estimate revisions and management guidance changes for US/HK equities.

2|Updated May 13, 2026
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill earnings-revision-thanhtai040805
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earnings-revision
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/earnings-revision
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill earnings-revision-thanhtai040805

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill tracks earnings estimate revisions, management guidance changes, and post-earnings price drift to help users understand investment signals and make informed decisions.

Core Features & Use Cases

  • Earnings Revision Tracking: Monitor analyst consensus changes and earnings surprise patterns.
  • Guidance Analysis: Analyze management guidance shifts and their impact.
  • Post-Earnings Drift Analysis: Assess price drift following earnings announcements.
  • Use Case: If you are an investor looking for insights into the financial health of a company, this Skill can provide you with a comprehensive view of earnings revisions and guidance changes.

Quick Start

Analyze the earnings revisions and guidance changes for [Ticker].

Frequently Asked Questions about earnings-revision

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

FAQPage Schema
How do I track earnings estimate revisions and management guidance changes for US equities?

You can track earnings estimate revisions and management guidance changes for US equities by analyzing consensus upgrades, downgrades, and earnings surprise patterns to identify post-earnings price drift signals.

What is post-earnings drift and how does it relate to earnings surprises?

Post-earnings drift is the price movement following earnings announcements. It relates to earnings surprises by showing how consensus upgrades, downgrades, and management guidance shifts impact equity prices over time.

Can I analyze post-earnings drift for HK equities using pandas and yfinance?

Yes, you can analyze post-earnings drift for HK equities using pandas, numpy, and yfinance to fetch real-time financial data and track earnings revisions alongside management guidance changes.

How do I monitor analyst consensus changes and earnings surprise patterns programmatically?

You monitor analyst consensus changes and earnings surprise patterns programmatically by processing real-time financial data with pandas and numpy to identify revision trends and guidance shifts.

What is the best way to analyze management guidance shifts and their impact on equity prices?

The best way to analyze management guidance shifts is by tracking estimate revisions and post-earnings price drift together, evaluating how consensus upgrades or downgrades influence equity valuation patterns.