Skill 寫法圖鑑

earnings-preview

Anthropic | 金融與投資 | 原文 | Apache-2.0

財報前建立預估、看多看空情境和要盯的關鍵指標

中文翻譯

---
name: earnings-preview
description: 建立財報前分析,包括預估模型、情境框架和要關注的關鍵指標。在公司發布季度財報前使用,用來準備部位筆記、設定看多/看空情境、找出會推動股價的因素。觸發詞包括「earnings preview」、「what to watch for [company] earnings」、「pre-earnings」、「earnings setup」、「preview Q[X] for [company]」。
---

# 財報前瞻

## 工作流程

### 步驟 1:蒐集背景

- 確認公司和財報季度
- 用 web search 取得共識預估(營收、EPS、關鍵分部指標)
- 找出財報日期和時間(盤前 vs. 盤後)
- 回顧公司上一季財報電話會議中的任何 guidance 或評論

### 步驟 2:關鍵指標框架

針對該公司建立專屬的「要看什麼」框架:

**財務指標:**
- 營收 vs. 共識(總計與各分部)
- EPS vs. 共識
- 利潤率(毛利、營業、淨利):擴張還是收縮?
- 自由現金流
- 前瞻 guidance vs. 共識

**營運指標**(依產業):
- 科技/SaaS:ARR、淨留存率、RPO、客戶數
- 零售:同店銷售、客流、客單
- 工業:backlog、book-to-bill、價格 vs. 數量
- 金融:NIM、信用品質、放款成長、手續費收入
- 醫療:處方量、病患量、研發管線更新

### 步驟 3:情境分析

建立 3 個情境及其對股價的影響:

| 情境 | 營收 | EPS | 關鍵驅動 | 股價反應 |
|----------|---------|-----|------------|----------------|
| Bull | | | | |
| Base | | | | |
| Bear | | | | |

每個情境都要寫:
- 營運上要發生什麼事
- 管理層的哪些說法會暗示這個情境
- 歷史脈絡:股價對類似的財報數字怎麼反應過?

### 步驟 4:催化劑 Checklist

找出 3 到 5 個會決定股價反應的事:

1. [指標] vs. [共識/whisper number]:為什麼重要
2. [Guidance 項目]:買方預期聽到什麼
3. [敘事轉變]:任何策略變動、併購、重組

### 步驟 5:輸出

一頁式財報前瞻,包含:
- 公司、季度、財報日期
- 共識預估表
- 要關注的關鍵指標(依重要性排序)
- Bull/base/bear 情境表
- 催化劑 checklist
- 交易佈局:近期股價表現、選擇權隱含波動

## 重要注意事項

- 共識預估會變,一定要註明預估的來源和日期
- 買方調查的「whisper number」往往比公布的共識更有參考價值
- 歷史財報反應有助於校準預期(搜尋「[company] earnings reaction history」)
- 選擇權隱含波動告訴你市場預期什麼,拿來跟你的情境比較

英文原文

---
name: earnings-preview
description: Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".
---

# Earnings Preview

## Workflow

### Step 1: Gather Context

- Identify the company and reporting quarter
- Pull consensus estimates via web search (revenue, EPS, key segment metrics)
- Find the earnings date and time (pre-market vs. after-hours)
- Review the company's prior quarter earnings call for any guidance or commentary

### Step 2: Key Metrics Framework

Build a "what to watch" framework specific to the company:

**Financial Metrics:**
- Revenue vs. consensus (total and by segment)
- EPS vs. consensus
- Margins (gross, operating, net) — expanding or contracting?
- Free cash flow
- Forward guidance vs. consensus

**Operational Metrics** (sector-specific):
- Tech/SaaS: ARR, net retention, RPO, customer count
- Retail: Same-store sales, traffic, basket size
- Industrials: Backlog, book-to-bill, price vs. volume
- Financials: NIM, credit quality, loan growth, fee income
- Healthcare: Scripts, patient volumes, pipeline updates

### Step 3: Scenario Analysis

Build 3 scenarios with stock price implications:

| Scenario | Revenue | EPS | Key Driver | Stock Reaction |
|----------|---------|-----|------------|----------------|
| Bull | | | | |
| Base | | | | |
| Bear | | | | |

For each scenario:
- What would need to happen operationally
- What management commentary would signal this
- Historical context — how has the stock moved on similar prints?

### Step 4: Catalyst Checklist

Identify the 3-5 things that will determine the stock's reaction:

1. [Metric] vs. [consensus/whisper number] — why it matters
2. [Guidance item] — what the buy-side expects to hear
3. [Narrative shift] — any strategic changes, M&A, restructuring

### Step 5: Output

One-page earnings preview with:
- Company, quarter, earnings date
- Consensus estimates table
- Key metrics to watch (ranked by importance)
- Bull/base/bear scenario table
- Catalyst checklist
- Trading setup: recent stock performance, implied move from options

## Important Notes

- Consensus estimates change — always note the source and date of estimates
- "Whisper numbers" from buy-side surveys are often more relevant than published consensus
- Historical earnings reactions help calibrate expectations (search for "[company] earnings reaction history")
- Options-implied move tells you what the market expects — compare to your scenarios