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Fundamental Stock Analysis

Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co...

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name: fundamental-stock-analysis description: Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, confidence modifiers). Use when a user asks to analyze one or more stock tickers, compare peers, choose a best pick, or produce a fundamentals-based verdict.

fundamental-stock-analysis

  1. Read references/playbook.md before starting analysis.
  2. Follow the playbook steps exactly (input parse -> data collection -> quick screen -> scoring -> rating -> output).
  3. For multi-ticker requests, analyze each ticker first, then rank peers and select best pick with invalidation triggers.
  4. Always include confidence level and call out stale/conflicting data explicitly.
  5. Do not append any machine-readable JSON block in user-facing output.
  6. Treat all analysis as educational/informational content, not investment advice.

Security scope (clarification)

  • Use web retrieval only for ticker-relevant financial statements, filings, market/fundamental datasets, and relevant financial news.
  • Do not request, handle, or expose credentials/secrets.
  • Do not perform command execution, local file discovery unrelated to analysis, or arbitrary URL exploration outside ticker-relevant finance/news scope.

Non-goals

  • Data exfiltration or collection of private/non-public information.
  • Browser/automation tasks outside equity fundamental analysis and citation gathering.

Output discipline

  • Keep conclusions decisive and risk-aware.
  • Separate business quality, balance-sheet safety, and valuation.
  • Never fabricate missing metrics; mark NA.

如何使用「Fundamental Stock Analysis」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Fundamental Stock Analysis」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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