earnings-forecast

Analyze corporate earnings forecasts and market consensus expectations to identify trading opportunities.

Updated May 25, 2026
One-click install
npx skills add https://github.com/NigarumOvum/AutoTrading --skill earnings-forecast-nigarumovum
Or copy as Structured Prompt for Agent
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Skill: earnings-forecast
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/earnings-forecast
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill earnings-forecast-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify over- and under-performance opportunities by analyzing earnings forecasts and consensus expectations.

Core Features & Use Cases

  • Earnings Forecast Analysis: Provides in-depth analysis of top-down and bottom-up forecasting methods, including SUE (Standardized Unexpected Earnings) and PEAD (Post-Earnings Announcement Drift).
  • Analyst Expectation Revisions: Tracks the momentum of analyst expectation revisions, providing insights into market sentiment.
  • Use Case: Imagine you're a financial analyst looking for potential stock trading opportunities. This Skill can help you analyze EPS forecasts, identify potential discrepancies, and make informed trading decisions.

Quick Start

Run the earnings-forecast skill with the company's stock symbol 'AAPL' to analyze its earnings forecast.

Frequently Asked Questions about earnings-forecast

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

FAQPage Schema
How do I analyze corporate earnings forecasts and market consensus expectations?

To analyze corporate earnings forecasts and market consensus expectations, this Skill identifies discrepancies for trading opportunities using top-down and bottom-up methods. It requires historical earnings data and market consensus forecasts to run.

What is SUE and PEAD in earnings forecast analysis?

SUE (Standardized Unexpected Earnings) and PEAD (Post-Earnings Announcement Drift) are techniques analyzed by this Skill to identify over- and under-performance opportunities by measuring earnings surprises and their subsequent market impact.

How do I track analyst expectation revisions for market sentiment?

Track analyst expectation revisions by running this Skill, which monitors the momentum of expectation changes to provide market sentiment insights. This helps identify potential discrepancies between forecasts and actual EPS outcomes.

Can I use bottom-up forecasting to identify stock trading opportunities?

Yes, this Skill supports bottom-up forecasting to identify stock trading opportunities by analyzing EPS forecasts. It identifies discrepancies between corporate earnings forecasts and consensus expectations to inform your trading decisions.

Do I need historical earnings data to analyze consensus expectation discrepancies?

Yes, analyzing consensus expectation discrepancies requires historical earnings data and market consensus forecasts as input. This Skill uses these prerequisites to calculate SUE, track PEAD, and identify over- and under-performance opportunities.