earnings-forecast

Forecast earnings and analyze market expectations to identify mispricing opportunities.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/ajithkumar31082004-bit/Vibe-Trading --skill earnings-forecast-ajithkumar31082004-bit
Or copy as Structured Prompt for Agent
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Skill: earnings-forecast
Source: https://github.com/ajithkumar31082004-bit/Vibe-Trading/tree/main/Vibe-Trading-main/agent/src/skills/earnings-forecast
Command: npx skills add https://github.com/ajithkumar31082004-bit/Vibe-Trading --skill earnings-forecast-ajithkumar31082004-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes earnings forecasts vs market consensus to identify mispricing opportunities driven by earnings expectations and revisions.

Core Features & Use Cases

  • Top-Down / Bottom-Up forecasting: integrate macro to company-level revenue and profit assumptions to derive EPS forecasts.
  • SUE, PEAD, and Analyst Expectation Tracking: compute forecast deviations, post-announcement drift opportunities, and momentum signals from revisions.
  • Trading Signal Synthesis: convert deviations and momentum into actionable long/short or position-sizing signals, with calendar-based rebalancing.

Quick Start

Instruct the system to generate an EPS forecast and compare it to consensus to trigger a trading signal.

Frequently Asked Questions about earnings-forecast

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

FAQPage Schema
How do I calculate SUE for earnings forecasts to find trading signals?

SUE is calculated by comparing your EPS forecast against market consensus to measure the deviation. This deviation is then synthesized with momentum signals to generate actionable long or short trading signals for upcoming earnings events.

What is PEAD and how does it apply to earnings expectations?

PEAD, or post-earnings-announcement drift, tracks the sustained price momentum following an earnings surprise. The Skill analyzes PEAD holding logic alongside analyst expectation revisions to identify and exploit sustained market mispricing after earnings events.

How do I generate an EPS forecast using top-down and bottom-up approaches?

Generate an EPS forecast by integrating macro-level top-down assumptions with company-level bottom-up revenue and profit projections. Comparing this derived forecast against market consensus identifies mispricing opportunities and triggers actionable trading signals.

Can I use analyst expectation revisions for position-sizing signals?

Yes, analyst expectation revisions and dispersion metrics are synthesized directly into position-sizing signals. The Skill converts these momentum signals and forecast deviations into actionable long or short positions with calendar-based rebalancing and risk controls.

Does this earnings forecasting approach work without external dependencies?

Yes, this earnings forecasting approach operates without external dependencies. It independently computes forecast deviations, ERM, and dispersion to output clear trading signals with integrated risk controls across equities with upcoming earnings events.