feat: 建立第一版 Paperclip company package
管理 + 完整量化團隊(方案 A + 多空研究員),10 active + 1 paused Package 結構: - COMPANY.md:agentcompanies/v1 company root - .paperclip.yaml:11 agents adapter/model/status + 4 routines - agents/:11 個 agent(ceo, secretary, reviewer, quant-strategist, finance-researcher, market-structure-researcher, bullish-researcher, bearish-researcher, quant-engineer, data-analyst, xiao-an) - teams/:management, quant-research - projects/:daily-quant-pipeline, board-ops - tasks/:4 個 recurring tasks(pipeline 啟動、盤後整理、資料摘要、記憶壓縮) - skills/:deep-research, code-reviewer 每個 AGENTS.md 包含完整 instructions:Mission, Scope, Forbidden, 輸出 JSON Schema, Escalation, 行為規範 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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COMPANY.md
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COMPANY.md
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---
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name: KingClawArmy
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description: AI Agent 量化研究團隊 — 情報蒐集、市場結構分析、多空辯論、策略收斂、回測驗證、數據分析
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slug: kingclawarmy
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schema: agentcompanies/v1
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version: 1.0.0
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authors:
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- name: Chris
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goals:
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- 量化研究自動化:從情報蒐集到策略回測的完整 pipeline
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- 多空對抗式分析:確保策略經過正反觀點驗證
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- 品質把關:所有策略產出經過審查員 review gate
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- 人類保留最終決策權:高風險動作必須經過董事長批准
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---
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# KingClawArmy
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AI Agent 量化研究團隊,運行於 Paperclip 平台。
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## 組織
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- **管理團隊**:執行長(全局調度)、秘書(記錄摘要)、審查員(品質把關)
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- **量化研究團隊**:量化策略師(pipeline owner)領導 6 位研究與工程 agent
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## 運作方式
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1. 每日由執行長啟動量化 pipeline
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2. 策略師指派研究員依序完成情報 → 結構 → 多空分析
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3. 策略師收斂觀點產出策略論文
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4. 審查員 review,pass 後由資料分析師做最終分析
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5. 結果提交董事長審批
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