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earnings-forecast

Analyze earnings forecasts and consensus expectations to identify trading opportunities.

2|Updated May 13, 2026
Search Tags:#consensus expectation#earnings forecast#PEAD#SUE#trading opportunities
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill earnings-forecast-thanhtai040805
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-forecast
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/earnings-forecast
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill earnings-forecast-thanhtai040805

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive analysis of a company's earnings forecast and market consensus expectations, helping users identify trading opportunities through analysis of deviation.

Core Features & Use Cases

  • Earnings Forecast Analysis: Offers detailed analysis of earnings forecasts, including top-down and bottom-up approaches, and standardized unexpected earnings (SUE).
  • Consensus Expectation Analysis: Analyzes market consensus expectations and their deviations from actual earnings.
  • Use Case: A user can input a stock's earnings report and receive analysis on its EPS forecast, market consensus, and trading signals based on SUE and PEAD.

Quick Start

Use the earnings-forecast skill to analyze the earnings forecast for 'Apple Inc.'.

Frequently Asked Questions about earnings-forecast

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

FAQPage Schema
How do I analyze earnings forecasts and market consensus expectations for trading opportunities?▼

To analyze earnings forecasts and market consensus expectations, you input a stock's historical financial data and consensus forecasts to identify trading opportunities based on deviations between actual earnings and market expectations.

What is Standardized Unexpected Earnings (SUE) and how does it identify trading signals?▼

Standardized Unexpected Earnings (SUE) measures the deviation of actual earnings from market consensus expectations. It serves as a quantitative trading signal to identify potential post-earnings announcement drift (PEAD) opportunities.

How does post-earnings announcement drift (PEAD) work in earnings forecast analysis?▼

Post-earnings announcement drift (PEAD) works by analyzing the market's delayed reaction to earnings surprises. It identifies trading opportunities by examining the standardized unexpected earnings and the subsequent price momentum.

Does earnings forecasting require historical financial data and consensus forecasts?▼

Yes, analyzing earnings forecasts requires access to historical financial data and market consensus forecasts. These inputs are essential for applying top-down and bottom-up forecasting approaches to generate accurate trading signals.

What is the best way to use top-down and bottom-up approaches for EPS forecast analysis?▼

The best way to approach EPS forecast analysis is combining top-down macroeconomic forecasting with bottom-up company fundamentals. This dual approach refines market consensus deviation analysis and improves trading signal accuracy.

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