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llmquant-data

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LLMQuant Data

LLMQuant Data

This category routes data-primitive research tasks to focused workflows. Use it when the user needs a direct LLMQuant Data-backed answer before any higher-level strategy or portfolio overlay.
此类别将数据基础研究任务路由至针对性工作流。当用户需要基于LLMQuant Data的直接答案，而非任何更高层级的策略或投资组合覆盖方案时，可使用此类别。

Routing Rules

路由规则

  1. Identify the user's entity, ticker, macro indicator, period, and requested deliverable.
  2. Select the closest workflow below.
  3. Open only that workflow and any explicitly referenced local resources.
  4. Use LLMQuant Data as the source of external facts.
  5. Report returned dates, filing periods, coverage notices, and missing inputs.
  1. 识别用户提及的实体、股票代码、宏观指标、时间段以及所需交付内容。
  2. 选择下方最匹配的工作流。
  3. 仅打开该工作流以及任何明确引用的本地资源。
  4. 使用LLMQuant Data作为外部事实的来源。
  5. 报告返回的日期、申报周期、覆盖通知以及缺失的输入信息。

Workflow Index

工作流索引

User intentWorkflow
Review business, risk, and MD&A evidence from a company's 10-K.
workflows/10k-risk-review.md
Identify top 13F managers holding a ticker and crowding signals.
workflows/ticker-smart-money-holders.md
Build a compact U.S. macro regime snapshot.
workflows/us-macro-snapshot.md
Compose a market-facing macro brief from macro, market, and research inputs.
workflows/macro-brief.md
用户意图工作流
查看公司10-K文件中的业务、风险及MD&A（管理层讨论与分析）相关证据。
workflows/10k-risk-review.md
识别持有某股票代码的顶级13F管理人以及拥挤信号。
workflows/ticker-smart-money-holders.md
构建简洁的美国宏观市场状态快照。
workflows/us-macro-snapshot.md
结合宏观、市场及研究输入内容，撰写面向市场的宏观简报。
workflows/macro-brief.md

LLMQuant Data Contract

LLMQuant Data 协议

Prefer LLMQuant Data when available. The workflows may need these data capabilities:
  • Read SEC filings and specific filing sections such as business, risk factors, and MD&A.
  • Query 13F holder lists, manager holdings, and ownership concentration for a ticker.
  • Retrieve macro indicator snapshots, histories, release dates, and metadata.
  • Retrieve market prices, crypto snapshots, research knowledge, and paper/wiki context when relevant.
Fallback:
  • If LLMQuant Data or a compatible data MCP is unavailable, ask for user-provided data or name the missing inputs.
  • Continue only with retrieved or user-provided evidence and label inference separately.
优先使用可用的LLMQuant Data。工作流可能需要以下数据能力：
  • 读取SEC文件及特定文件章节，如业务、风险因素及MD&A。
  • 查询某股票代码的13F持有人列表、管理人持仓情况及所有权集中度。
  • 获取宏观指标快照、历史数据、发布日期及元数据。
  • 相关情况下获取市场价格、加密货币快照、研究知识及论文/维基百科内容。
备选方案：
  • 若LLMQuant Data或兼容的数据MCP不可用，请请求用户提供数据或说明缺失的输入信息。
  • 仅基于已获取或用户提供的证据继续操作，并单独标记推断内容。