earnings-revision

Track analyst estimate revisions and earnings surprises for US and Hong Kong equities.

6.1k|1.2k|Updated Jun 9, 2022
One-click install
npx skills add https://github.com/charliedream1/ai_quant_trade --skill earnings-revision-charliedream1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earnings-revision
Source: https://github.com/charliedream1/ai_quant_trade/tree/main/a_%E5%85%A8%E7%BD%91%E4%BC%98%E7%A7%80%E8%B5%84%E6%BA%90/10_%E5%A4%A7%E6%A8%A1%E5%9E%8B/07_skill%E5%8C%85/vibe_trading_skills/earnings-revision
Command: npx skills add https://github.com/charliedream1/ai_quant_trade --skill earnings-revision-charliedream1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the systematic tracking of earnings estimate revisions, management guidance changes, and post-earnings drift to surface persistent alpha signals across US and Hong Kong equities.

Core Features & Use Cases

  • Track analyst consensus revisions, earnings surprises, and guidance changes to quantify momentum.
  • Compute and monitor key metrics such as revision breadth, dispersion, and PEAD signals for cross-market screening.
  • Use cases include portfolio construction, risk management, and research workflows across multi-market equities.

Quick Start

Query the latest quarterly data to output a ranked list of stocks with positive consensus revisions and PEAD potential.

Frequently Asked Questions about earnings-revision

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

FAQPage Schema
How do I track analyst estimate revisions and post-earnings drift for US and Hong Kong equities?

To track analyst estimate revisions and post-earnings drift, you can automate the monitoring of consensus revisions, earnings surprises, and guidance changes to generate persistent alpha signals across US and Hong Kong equities. This process systematically quantifies momentum for cross-market screening.

What is PEAD alpha and how do earnings revisions uncover it?

PEAD (post-earnings announcement drift) alpha is generated by analyzing the persistent momentum following earnings surprises. By tracking analyst consensus revisions and management guidance changes, you can identify sustained price drifts and risk-adjusted opportunities in the market.

Do I need real-time consensus feeds from Bloomberg or Refinitiv to analyze earnings surprises?

Real-time consensus feeds from Bloomberg or Refinitiv are required for production-grade investment signals. However, you can source historical data from free providers to perform exploratory analysis of earnings surprises and revisions without a paid subscription.

How do I screen stocks based on revision breadth and dispersion metrics?

You can screen stocks by computing and monitoring key metrics such as revision breadth, dispersion, and PEAD signals. Querying the latest quarterly data outputs a ranked list of equities exhibiting positive consensus revisions and strong post-earnings drift potential.

Can I use earnings revision signals for portfolio construction and risk management?

Yes, earnings revision signals are designed for portfolio construction, risk management, and research workflows. By tracking management guidance changes and consensus estimate revisions, you can identify risk-adjusted opportunities and apply them directly to multi-market equity strategies.

What are the limitations of using free data providers for post-earnings drift analysis?

Free data providers limit post-earnings drift analysis to historical exploratory testing rather than real-time signal generation. Without production-grade consensus feeds, you cannot capture live analyst estimate revisions or immediate guidance changes needed for active cross-market screening.