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earnings-forecast

Quantify earnings surprises and analyst revisions to generate trading signals.

Updated Jun 30, 2026
Search Tags:#forecasting#trading#earnings#analyst#pead#sue
One-click install
npx skills add https://github.com/20YN04/vibe-trading-macos --skill earnings-forecast-20yn04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-forecast
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/earnings-forecast
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill earnings-forecast-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the difficulty of identifying market mispricing by quantifying the gap between actual corporate earnings and analyst expectations, helping traders capture performance-driven opportunities.

Core Features & Use Cases

  • Earnings Surprise Analysis: Calculates Standardized Unexpected Earnings (SUE) to identify stocks with significant performance deviations.
  • Analyst Momentum Tracking: Monitors analyst expectation revisions (ERM) and dispersion to gauge market sentiment and conviction.
  • Use Case: A trader can use this skill to filter for stocks with an SUE greater than 1.5 during the earnings season to identify potential candidates for a Post-Earnings Announcement Drift (PEAD) strategy.

Quick Start

Use the earnings-forecast skill to calculate the SUE and analyze analyst sentiment for the stock with ticker 600519.SH based on the latest quarterly report.

Frequently Asked Questions about earnings-forecast

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

FAQPage Schema
How do I calculate Standardized Unexpected Earnings (SUE) to identify trading signals?▼

Standardized Unexpected Earnings (SUE) quantifies the gap between actual corporate earnings and analyst expectations to generate actionable trading signals. Calculating SUE identifies stocks with significant performance deviations and potential market mispricing opportunities.

What is Post-Earnings Announcement Drift (PEAD) and how do analyst revisions track it?▼

Post-Earnings Announcement Drift (PEAD) is a strategy capturing performance-driven opportunities after earnings surprises. Analyst expectation revisions (ERM) and dispersion gauge market sentiment and conviction, helping evaluate stock price potential and detect performance drift.

How do I filter stocks for earnings surprises during earnings season?▼

Filter stocks for earnings surprises by calculating SUE metrics to find significant performance deviations from analyst expectations. Traders often filter for stocks with an SUE greater than 1.5 during earnings season to identify potential PEAD strategy candidates.

Can I use top-down and bottom-up forecasting methodologies for equity analysis?▼

Top-down and bottom-up forecasting methodologies are supported for equity analysis and performance drift detection. These approaches utilize SUE metrics and analyst revision momentum to evaluate stock price potential and identify market mispricing.

How does analyst revision momentum evaluate stock price potential?▼

Analyst revision momentum evaluates stock price potential by monitoring analyst expectation revisions (ERM) and dispersion. Tracking these expectation revisions gauges market sentiment and conviction, helping identify performance-driven opportunities and detect performance drift.

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