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.