earnings-forecast

Generate buy or sell signals from earnings forecasts and analyst consensus.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill earnings-forecast-0xzknw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earnings-forecast
Source: https://github.com/0xZKnw/vibe-trading-tap/tree/main/agent/src/skills/earnings-forecast
Command: npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill earnings-forecast-0xzknw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the difficulty of identifying trading opportunities caused by market expectation gaps, helping users move beyond simple price tracking to analyze fundamental earnings momentum.

Core Features & Use Cases

  • Earnings Expectation Analysis: Compare self-generated Top-Down or Bottom-Up EPS forecasts against analyst consensus to identify mispriced assets.
  • Momentum Tracking: Utilize SUE (Standardized Unexpected Earnings) and analyst revision ratios to time entry and exit points.
  • Use Case: During a quarterly earnings season, use this skill to filter for stocks with an SUE greater than 1.5 to identify potential high-growth candidates for a 40-day holding period.

Quick Start

Use the earnings-forecast skill to analyze the current earnings surprise and analyst momentum for the stock with ticker 600519.

Frequently Asked Questions about earnings-forecast

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

FAQPage Schema
How do I use earnings forecasts to generate trading signals for A-share equities?

Earnings forecasts generate trading signals for A-share equities by comparing your Top-Down or Bottom-Up EPS projections against analyst consensus to identify mispriced assets and expectation gaps.

What is Standardized Unexpected Earnings (SUE) and how does it identify high-growth stocks?

Standardized Unexpected Earnings (SUE) measures the gap between actual earnings and market consensus. Filtering for an SUE greater than 1.5 helps identify potential high-growth candidates for a 40-day holding period.

How do I time entry and exit points using analyst revision momentum?

Time entry and exit points using analyst revision momentum by tracking the ratio of analyst upgrades to downgrades, which indicates shifting market expectations and helps pinpoint potential outperformance opportunities.

Can I perform bottom-up financial modeling to find mispriced assets during earnings season?

Yes, you can perform bottom-up financial modeling to find mispriced assets during earnings season by generating independent EPS forecasts and comparing them against the market consensus to reveal expectation gaps.

What is the Post Earnings Announcement Drift (PEAD) and how does it apply to trading?

Post Earnings Announcement Drift (PEAD) is the tendency of stock prices to continue moving in the direction of an earnings surprise. It is applied as a quantitative metric to provide actionable buy or sell signals based on historical earnings data.