財務模型資料更新觸發流程|簡詩 AI

👤 公眾號:簡詩AI 📦 v1.0.1 ⭐ 4.1 ⬇️ 110 下載
📊 資料分析 免費

📖 技能介紹


name: model-update slug: model-update version: 1.0.1 displayName: "財務模型資料更新觸發流程|簡詩 AI" summary: "識別財務模型更新觸發事件(財報釋出、指引變更、宏觀資料更新),插入新季度實際資料並更新預測假設。" description: "識別財務模型更新觸發事件(財報釋出、指引變更、宏觀資料更新),插入新季度實際資料並更新預測假設。" tags: ["data-automation", "jianshi-ai"]


Model Update

Workflow

Step 1: Identify What Changed

Determine the update trigger: - Earnings release: New quarterly actuals to plug in - Guidance change: Company updated forward outlook - Estimate revision: Analyst changing assumptions based on new data - Macro update: Interest rates, FX, commodity prices changed - Event-driven: M&A, restructuring, new product, management change

Step 2: Plug New Data

After Earnings

Update the model with reported actuals:

Line Item Prior Estimate Actual Delta Notes
Revenue
Gross Margin
Operating Expenses
EBITDA
EPS
[Key metric 1]
[Key metric 2]

Segment Detail (if applicable): - Update each segment's revenue and margin - Note any segment mix shifts

Balance Sheet / Cash Flow Updates: - Cash and debt balances - Share count (buybacks, dilution) - Capex actual vs. estimate - Working capital changes

7w4.net小蔥技能。

Step 3: Revise Forward Estimates

Based on the new data, adjust forward estimates:

Old FY Est New FY Est Change Old Next FY New Next FY Change
Revenue
EBITDA
EPS

Key Assumption Changes: - What assumptions are you changing and why? - Revenue growth rate: old → new (reason) - Margin assumption: old → new (reason) - Any new items (restructuring charges, one-time gains, etc.)

Step 4: Valuation Impact

Recalculate valuation with updated estimates:

Valuation Method Prior Updated Change
DCF fair value
P/E (NTM EPS × target multiple)
EV/EBITDA (NTM EBITDA × target multiple)
Price Target

Step 5: Summary & Action

Estimate Change Summary: - One paragraph: what changed, why, and what it means for the stock - Is this a thesis-changing event or noise?

Rating / Price Target: - Maintain or change rating? - New price target (if changed) with methodology - Upside/downside to current price

Step 6: Output

  • Updated Excel model (if user provides the existing model)
  • Estimate change summary (markdown or Word)
  • Updated price target derivation

Important Notes

  • Always reconcile your estimates to the company's reported figures before projecting forward
  • Note any non-recurring items and whether your estimates are GAAP or adjusted
  • Track your estimate revision history — it shows your analytical progression
  • If the quarter was noisy, separate signal from noise in your estimate changes
  • Check consensus after updating — how do your revised estimates compare to the Street?
  • Share count matters — dilution from stock comp, converts, or buybacks can materially affect EPS

簡詩 AI 安全邊界

  • 不自動安裝依賴、修改系統許可權、建立持久化任務或執行下載內容。
  • 涉及傳送、釋出、刪除、付款、部署或其他外部寫入時,先展示目標與影響並取得使用者明確確認。
  • 憑據只用於使用者指定的對應官方服務,不回顯、不記錄,也不轉發到無關地址。
  • 命令和程式碼預設作為參考;只有使用者明確要求執行且目標範圍清楚時才可執行。

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🤖 AI 評測

這是一款質量中等的財務模型更新工具。工作流程清晰有序,步驟劃分合理,表格模板實用,安全邊界說明也很規範。不足是缺少具體示例和操作指引,實際使用時可能需要較多自行摸索。總體適合有經驗的財務分析師使用,但對新手不太友好。

📊 多維度評分

適應性3.8
規範性3.9
有效性4.4
可靠性4
可信度4.8

📁 包含檔案 (5 個)

📄 DERIVATIVE_NOTICE.md 486 B
📄 LICENSE.md 11.1 KB
📄 ORIGIN.json 962 B
📄 SKILL.md 4 KB
📄 agents/openai.yaml 372 B