community-automations/stock-fundamentals-crew

DevOps 與程式碼

PublicClaude 子代理

股票基本面團隊

基本面問題需要從多份申報文件中取出數字並交叉比對，手動整理既慢又容易出錯。這個團隊平行解析這些文件。

sonnet1 週CrewAISEC EDGARFinancial Modeling PrepOpenAI
ClaudeClaude
ROI for
README.md

為什麼選擇此子代理

基本面問題需要從多份申報文件中取出數字並交叉比對，手動整理既慢又容易出錯。這個團隊平行解析這些文件。

主導代理人把每份報表交給專屬代理人，另有比率代理人負責計算，最後由主導代理人組裝出答案。每個論點都附上數字本身及其來源文件，讓你能親自核對，而不是只相信一份摘要。

運作方式

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

輸出範例

json
// Sample output
// (generated when the pipeline finishes)

As the lead agent, dispatch sub-agents to parse income, balance-sheet, and cash-flow data in parallel, compute the relevant ratios, and return a fundamentals answer that shows every figure and its filing source.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.