
Earnings Analysis
Post-Earnings Delta Calculation
Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis. Use when analyzing earnings reactions, post-print moves, estimate revisions, or surprise decomposition.
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Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis.
Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis.
Skill.md
這個 Skill 如何運作
Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis. Use when analyzing earnings reactions, post-print moves, estimate revisions, or surprise decomposition.
Use This Skill When
- The user wants to explain why a stock moved after an earnings release.
- The task requires comparing reported results or guidance against consensus, prior guide, or buy-side expectations.
- The work needs a surprise bridge, revision read-through, or a view on whether the reaction was proportional.
- The user needs a reusable post-print framework rather than a loose narrative recap.
Required Inputs
companyand, if available,tickerreporting periodor earnings event datereported results: revenue, gross margin, operating income or margin, EPS, free cash flow, and segment results when relevantexpectation baseline: sell-side consensus, company guidance midpoint, whisper number, or prior quarter implied trajectoryguidance changes: next-quarter and full-year revenue, margin, EPS, or capex guidancemarket reaction window: after-hours, next day close, 3-day move, or another explicitly defined periodsupporting commentary: earnings call, shareholder letter, prepared remarks, or management Q&A- If some inputs are missing, proceed with the highest-quality available baseline, explicitly label missing fields, reduce the precision of the conclusion, and do not fabricate surprise magnitudes or driver bridges.
Workflow
- Define the event scope: company, quarter, benchmark expectation set, and exact reaction window.
- Build a compact reported-versus-expected table for the metrics that actually moved the stock.
- Quantify each surprise using absolute difference, percent difference, and basis-point or dollar contribution where possible.
- Separate the read into:
- print quality: revenue, margin, EPS, cash conversion
- guidance delta: next quarter, full year, and implied exit rate
- mix and quality: segment mix, pricing, volume, customer concentration, one-time items
- narrative delta: tone, demand commentary, backlog, competitive remarks, capital allocation signals
- Compare the reaction with what was already priced in:
- prior stock performance into the print
- consensus versus whisper gap
- whether the beat was low quality or high quality
- whether the reaction was driven by forward guide more than the reported quarter
- If enough historical data exists, add context:
- historical beat or miss distribution
- reaction versus prior earnings events
- simple z-score or percentile framing
- Conclude with the main causal drivers of the move, what remains uncertain, and what to monitor into the next print.
Output Requirements
- Start with a one-paragraph headline read that answers: what happened, versus what baseline, and why the stock moved.
- Use explicit labels for
Fact,Assumption, andInferencewhenever the distinction could be ambiguous. - Keep units visible in every quantified statement:
%,bps,$,x, orstd dev. - State the comparison baseline for every surprise metric.
- Identify whether the move was driven mainly by reported results, forward guidance, mix or quality, management commentary, or expectations positioning.
- If any important metric is unavailable, add a
Missing Datanote instead of estimating a number.
Output Template
Post-Earnings Delta
Event Scope
- Company:
- Reporting period:
- Reaction window:
- Baseline used:
Headline Read
[2-4 sentences on the reported quarter, guidance delta, and principal reason for the stock move.]
Surprise Snapshot
- Revenue:
- Gross margin:
- Operating margin or operating income:
- EPS:
- FCF / cash flow:
- Key segment metrics:
Driver Decomposition
- Reported-quarter delta:
- Guidance delta:
- Mix / quality delta:
- Commentary delta:
- Expectations / positioning delta:
Reaction Interpretation
- What was better than expected:
- What was worse than expected:
- Why the reaction appears proportional or disproportional:
Evidence Classification
- Facts:
- Assumptions:
- Inferences:
Missing Data
- [List any unavailable metrics, baselines, or source limitations.]
What To Monitor Next
- [3-5 concrete indicators for the next quarter.]
Quality Checks
- Confirm every surprise figure reconciles to a stated baseline.
- Check that the narrative explains both the print and the guide, not only one of them.
- Verify that one-time items are identified before calling a beat "high quality."
- Ensure the stock-move explanation ranks drivers instead of listing them as equal.
- Re-read the final output and remove any claim that lacks a source or a clearly marked inference tag.
Guardrails
- Separate reported facts from inferred drivers at all times.
- Do not mix consensus, company guidance, and whisper expectations without naming the baseline.
- Do not invent estimates for missing segment metrics, historical z-scores, or buy-side expectations.
- Do not claim causality from correlation alone; if the driver is plausible but unproven, mark it as an inference.
- Avoid false precision when the source data only supports a directional conclusion.
Example Prompts
- Calculate the post-earnings delta for NVDA and decompose the move into revenue, margin, and guidance drivers.
- Quantify the earnings surprise for this quarter using z-score and explain whether the stock reaction was proportional.
- Compare the reported results and updated guide against consensus, then explain the next-day move with a ranked driver bridge.
最適合用於
何時使用
Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis. Use when analyzing earnings reactions, post-print moves, estimate revisions, or surprise decomposition.

01 · 會前準備
準備決策簡報
The user wants to explain why a stock moved after an earnings release. The task requires comparing reported results or guidance against consensus, prior guide, or buy-side expectations. The work needs a surprise bridge, revision read-through, or a view on whether the reaction was proportional. The user needs a reusable post-print framework rather than a loose narrative recap.

02 · 團隊協作
統一交接標準
讓分析師、投資組合經理與 Agent 產出一致的研究結果。

03 · 即時更新
更新投資邏輯
出現新催化劑、KPI 發布或財報結果後,更新情境假設。
社群回饋
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