earnings-revision
Monitor sell-side analyst consensus changes and earnings surprise patterns to generate investment signals across US and Hong Kong markets. The skill covers revision momentum, post-earnings announcement drift (PEAD), management guidance analysis, and earnings quality indicators—all documented alpha factors in equity markets.
Earnings Revision tracks analyst consensus changes and earnings surprises to identify persistent alpha signals in equities.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-27
Earnings Revision tracks analyst consensus changes and earnings surprises to identify persistent alpha signals in equities. Monitor sell-side analyst consensus changes and earnings surprise patterns to generate investment signals across US and Hong Kong markets. The skill covers revision momentum, post-earnings announcement drift (PEAD), management guidance analysis, and earnings quality indicators—all documented alpha factors in equity markets.
Use it when
- earnings-revision identifies 60–90 day price continuation signals following earnings announcements by analyzing post-earnings announcement.
- earnings-revision tracks analyst estimate changes and consensus revisions to detect shifts in sell-side expectations.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
HKUDS/Vibe-Trading/earnings-revision · repository language: Python
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What earnings revision signals does earnings-revision help identify?
earnings-revision monitors sell-side analyst consensus changes and earnings surprise patterns to generate investment signals. The skill tracks revision momentum, post-earnings announcement drift (PEAD), management guidance analysis, and earnings quality indicators—all documented alpha factors in equity markets across US and Hong Kong.
How does earnings-revision analyze post earnings drift PEAD?
earnings-revision identifies 60–90 day price continuation signals following earnings announcements by analyzing post-earnings announcement drift patterns. This helps detect momentum that persists after initial market reactions, enabling traders to capitalize on delayed price adjustments to earnings surprises.
What consensus estimate revisions can earnings-revision track?
earnings-revision tracks analyst estimate changes and consensus revisions to detect shifts in sell-side expectations. By monitoring revision breadth and estimate dispersion metrics, the skill scores earnings beats and misses, helping identify which surprises carry the strongest momentum signals for alpha generation.
How does earnings-revision evaluate management guidance changes?
earnings-revision evaluates management guidance changes and detects earnings quality red flags through guidance analysis. The skill scores guidance revisions and analyzes guidance language sentiment to identify when management expectations shift, signaling potential earnings quality issues or forward momentum.
Does earnings-revision compare US and Hong Kong earnings practices?
earnings-revision compares US and Hong Kong equity earnings seasonality and reporting practices, enabling cross-market analysis. This helps investors understand regional differences in earnings calendars, analyst coverage patterns, and guidance disclosure norms between the two markets.
What earnings quality indicators does earnings-revision detect?
earnings-revision identifies earnings quality red flags including accrual manipulation detection, standardized unexpected earnings (SUE) scoring, and estimate dispersion analysis. These indicators help distinguish sustainable earnings surprises from accounting-driven beats that may not sustain price momentum.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
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 Type | Description | Typical Alpha (annualized) | Persistence |
|---|---|---|---|
| Earnings surprise (beat/miss) | Actual EPS vs consensus | 3-8% post-event drift | 60-90 days (PEAD) |
| Consensus revision breadth | % of analysts revising up vs down | 4-6% long-short spread | 3-6 months |
| Estimate magnitude change | Size of revision relative to prior estimate | 3-5% | 1-3 months |
| Guidance |
(truncated - see the full file via the links below)
File tree — 1 file
agent/src/skills/earnings-revision/SKILL.md
Let your AI agent find skills like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 56,283 agent skills by what they can do, searchable in plain language.
wish › “Track analyst consensus revisions and earnings surprise momentum for alpha generation”
Give your agent the search over MCP, or paste the wish link into any chat. No install? Search from any chat →
Related skills
Examine how analyst estimates and revenue forecasts are shifting over time using Yahoo Finance data. See consensus levels, revision direction, and whether analysts are raising or cutting numbers—plus how actual results have compared to past estimates.
Earnings Recap pulls together the complete picture after a company reports: actual versus estimated earnings per share, revenue performance, the magnitude of any surprise, and how the stock moved in response. Built on Yahoo Finance data, it surfaces quarterly financial trends, margin changes, and analyst context to help you understand what the market is reacting to.
Access sell-side analyst consensus, institutional ownership, insider trading records, and finance event calendars through Longbridge's research platform. Supports investment frameworks including coverage initiation, competitive analysis, and financial planning across multiple markets.
Earnings Preview assembles a structured briefing before earnings reports, pulling consensus estimates, analyst sentiment, price targets, and your company's track record of beating or missing expectations. Get everything needed to understand what the street expects in one view.
Evaluate recent earnings reactions by scoring stocks across gap magnitude, pre-earnings momentum, volume trends, and moving average positioning. The skill assigns composite scores and letter grades (A–D) to rank candidates for potential swing trades, with detailed breakdowns of each factor's contribution to the overall setup quality.
This strategy captures volatility mean reversion by computing annualized historical volatility and ranking it percentile-wise over a lookback period. Long signals trigger when volatility sits in the low percentile range, positioning for expansion; short or exit signals fire when volatility ranks high, betting on contraction. Works with any OHLCV data across equities and crypto.