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GGwujun
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earnings-forecast

Compare internal EPS predictions against consensus estimates to generate trading signals.

Updated Jun 12, 2026
Search Tags:#consensus#a-share#pead#sue#analyst-momentum#earnings-forecast
One-click install
npx skills add https://github.com/GGwujun/SigmX --skill earnings-forecast-ggwujun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-forecast
Source: https://github.com/GGwujun/SigmX/tree/main/agent/src/skills/earnings-forecast
Command: npx skills add https://github.com/GGwujun/SigmX --skill earnings-forecast-ggwujun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill translates earnings forecasts and market consensus into actionable signals by analyzing disparities between internal EPS predictions and analysts' expectations, enabling traders to identify mispricing opportunities.

Core Features & Use Cases

  • Forecast methodologies: supports Top-Down and Bottom-Up EPS construction to capture different layers of earnings drivers.
  • Signal generation: computes SUE, PEAD, and analyst momentum metrics to surface buy/sell indications.
  • Use Case: apply to A-share stocks with adequate liquidity to generate short- to medium-term trading signals and position management guidance.

Quick Start

Use the earnings-forecast skill to generate EPS forecasts vs consensus and produce a trading signal report for a chosen stock.

Frequently Asked Questions about earnings-forecast

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

FAQPage Schema
How do I generate earnings forecast trading signals for A-share stocks?▼

To generate A-share trading signals, compare internal EPS predictions against consensus estimates using SUE, PEAD, and analyst momentum metrics to surface mispricing opportunities and holding suggestions.

What is the best way to identify earnings forecast discrepancies and market mispricing?▼

Identifying earnings forecast discrepancies involves comparing internal EPS predictions with consensus estimates, applying Top-Down and Bottom-Up methods to surface actionable mispricing opportunities.

How does SUE and PEAD work for analyst momentum signals?▼

SUE and PEAD work by calculating standardized unexpected earnings and post-earnings-announcement drift, combining them with analyst momentum metrics to produce buy or sell indications for eligible A-share stocks.

Do I need consensus EPS data to calculate SUE and ERM metrics?▼

Yes, calculating SUE and ERM metrics requires consensus EPS data, historical forecast bias statistics, and dispersion calculations to ensure robust decision support for trading signals.

Can I use Top-Down and Bottom-Up methods together for EPS construction?▼

Yes, you can use both Top-Down and Bottom-Up methods for EPS construction to capture different layers of earnings drivers, ensuring a comprehensive view of forecast discrepancies.

What are the limitations of using analyst momentum for short-term trading signals?▼

Analyst momentum signals are limited to A-share stocks with adequate liquidity and depend on accurate historical forecast bias statistics, restricting their effectiveness for illiquid assets or incomplete consensus data.

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