Skills

Earnings Revision

Earnings estimate revisions, guidance analysis, and post-earnings drift (PEAD), track...

Install

npx skills add HKUDS/Vibe-Trading --skill earnings-revision -g -a claude-code -y
Repository
HKUDS/Vibe-Trading37.4k
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Mediumabout 2,438 tokens
Runs scripts
No, instructions only

What it does

Earnings estimate revisions, guidance analysis, and post-earnings drift (PEAD), track analyst consensus changes, earnings surprise patterns, and management guidance shifts for US/HK equities.

Earnings Revision & Guidance Analysis

Overview

Track sell-side analyst estimate revisions, management guidance changes, and post-earnings price drift to generate investment signals. Earnings revisions are among the most persistent and well-documented alpha factors in equity markets, stocks with upward revisions tend to continue outperforming, and vice versa.

Core Concepts

1. Earnings Revision Momentum

The revision signal hierarchy (strongest to weakest):

Signal TypeDescriptionTypical Alpha (annualized)Persistence
Earnings surprise (beat/miss)Actual EPS vs consensus3-8% post-event drift60-90 days (PEAD)
Consensus revision breadth% of analysts revising up vs down4-6% long-short spread3-6 months
Estimate magnitude changeSize of revision relative to prior estimate3-5%1-3 months
Guidance revisionManagement guidance change vs prior5-10% on eventImmediate + 30-60 day drift
Whisper number miss/beatActual vs buy-side whisper (not official consensus)2-4%1-2 weeks

2. Key Metrics

Earnings Surprise:

# Standardized Unexpected Earnings (SUE)
sue = (actual_eps - consensus_eps) / std_of_forecast_errors

# Interpretation
# SUE > +2: large positive surprise → strong PEAD signal
# SUE < -2: large negative surprise → strong negative PEAD
# |SUE| < 0.5: in-line with expectations → weak signal

Revision Breadth:

# Revision breadth ratio
breadth = (num_upgrades - num_downgrades) / total_analysts

# Interpretation
# breadth > +0.5: strong consensus upgrade momentum
# breadth < -0.5: strong consensus downgrade momentum
# |breadth| < 0.2: mixed / no clear direction

Estimate Dispersion:

# Analyst disagreement
dispersion = std_of_estimates / abs(mean_estimate)
Read the whole SKILL.md on GitHub

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