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llmquant-macro

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LLMQuant Macro

LLMQuant Macro

This category routes macroeconomic research workflows for regime dashboards, policy previews, and portfolio impact mapping.
此分类用于路由宏观经济研究工作流，涵盖市场状态仪表板、政策前瞻以及投资组合影响映射。

Routing Rules

路由规则

  1. Identify geography, indicators, policy body, asset universe, horizon, and requested deliverable.
  2. Select the closest workflow below.
  3. Open only that workflow and any referenced local resources.
  4. Use LLMQuant Data for macro observations, release dates, rates, FX, commodities, credit, equity indices, and research context.
  5. Report observation dates, release dates, revisions, frequencies, stale notices, and missing inputs.
  1. 识别地域、指标、政策机构、资产范围、时间周期以及用户要求的交付物。
  2. 选择最匹配的下方工作流。
  3. 仅打开该工作流及任何引用的本地资源。
  4. 使用LLMQuant Data获取宏观观测数据、发布日期、利率、外汇、大宗商品、信贷、股票指数及研究背景。
  5. 报告观测日期、发布日期、修订信息、频率、过期通知以及缺失的输入项。

Workflow Index

工作流索引

User intentWorkflow
Build a cross-indicator macro dashboard and regime view.
workflows/global-macro-dashboard.md
Prepare a Fed or central-bank policy meeting preview.
workflows/fed-policy-preview.md
Translate macro data into equity, rates, credit, FX, commodity, and portfolio implications.
workflows/macro-to-portfolio-impact.md
用户意图工作流
构建跨指标宏观仪表板及市场状态视图。
workflows/global-macro-dashboard.md
准备美联储或央行政策会议前瞻。
workflows/fed-policy-preview.md
将宏观数据转化为股票、利率、信贷、外汇、大宗商品及投资组合的影响分析。
workflows/macro-to-portfolio-impact.md

LLMQuant Data Contract

LLMQuant数据约定

Prefer LLMQuant Data when available. The workflows may need these data capabilities:
  • Retrieve macro indicator snapshots, histories, revisions, release dates, and consensus context.
  • Retrieve central-bank policy rates, rate expectations, yield curves, inflation, labor, growth, housing, liquidity, and sentiment.
  • Retrieve cross-asset prices for equities, rates, FX, commodities, credit, crypto, and volatility.
  • Retrieve portfolio exposures and ETF look-through when translating macro into portfolio impact.
Fallback:
  • If a macro series or release calendar is unavailable, name the missing input and avoid time-sensitive claims.
  • Do not imply real-time macro data when only latest closed observations are available.
优先使用可用的LLMQuant Data。工作流可能需要以下数据能力：
  • 获取宏观指标快照、历史数据、修订信息、发布日期及共识背景。
  • 获取央行政策利率、利率预期、收益率曲线、通胀、劳动力、增长、住房、流动性及市场情绪数据。
  • 获取股票、利率、外汇、大宗商品、信贷、加密货币及波动率的跨资产价格数据。
  • 在将宏观因素转化为投资组合影响时，获取投资组合敞口及ETF穿透数据。
备选方案：
  • 若宏观数据序列或发布日历不可用，需说明缺失的输入项，避免做出时效性声明。
  • 当仅提供最新已收盘观测数据时，不得暗示具备实时宏观数据。