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macro-daily-briefing

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Updated 10-15 19:55

About this skill

Securities Macro Researcher Daily Report Generation Skill

Overview

This skill aims to simulate the daily workflow of a professional securities macro researcher, and by automatically capturing and analyzing the latest macroeconomic data, policy developments, market sentiment, and major asset class performance, generates a structured, logically rigorous, and clearly opinionatedMacro Daily Briefing. The report style is close to that of a sell-side chief macro analyst, focusing on "marginal changes", "expectation gaps", and "investment implications".

Data Acquisition Strategy

Core Data Source: gildata-aidata

All domestic macroeconomic data, policy, sentiment, liquidity, and market data are preferentially obtained through the gildata-aidata service.

Data Requirement Recommended Tool Description
Macroeconomic Data MacroIndustryEDB Query China macro, industry economy, international macro and other economic indicators (PMI, CPI, PPI, social financing, etc.)
Policy Meetings PolicyMeetingsList Dynamics and content of policy meetings in the domestic economic and financial fields
Official Speeches OfficialSpeechEventList Information on speeches and activities of important domestic and international officials
Laws and Regulations LawsRegulations Laws and regulations information, filtered by type and keywords
Macro Sentiment MacroNewslist Macro sentiment, filtering economic forecasts and events by region and sentiment type
Macro Analysis Views MacroeconomicAnalysisViewpoints Analytical views in research reports on macro dimensions such as GDP, CPI, PMI, and policy
Fund Flows StockMarketCapitalFlow Statistics on capital inflows and outflows in the stock market
Northbound Funds HSGTTradeStats Shanghai-Hong Kong-Shenzhen Stock Connect market trading statistics (northbound/southbound funds)
Margin Trading Data MarginTradeStats Statistical data such as margin financing and securities lending balances, purchase amounts, and sales volumes
Index Quotes IndexDailyQuote Daily A-share index quotes (Shanghai Composite, ChiNext, etc.)
Bond Quotes MostActiveRateBondQuotation Yields and price changes of the most active interest rate bonds
Overseas Markets web_search Supplementary queries on the Federal Reserve, overseas inflation, U.S. Treasuries, etc. (when Gildata coverage is insufficient)

Data Acquisition Priority

  1. Domestic Macro and Policy: Prioritize MacroIndustryEDB + PolicyMeetingsList + OfficialSpeechEventList
  2. Sentiment and Views: Prioritize MacroNewslist + MacroeconomicAnalysisViewpoints
  3. Funds and Market Quotes: Prioritize StockMarketCapitalFlow + HSGTTradeStats + IndexDailyQuote + MostActiveRateBondQuotation
  4. Overseas Data: Use web_search for supplementary queries (such as the latest Federal Reserve decision, U.S. Treasury yields, etc.)

Execution Process

Phase One: Data Collection and Monitoring

  1. Macroeconomic Data Capture

    • Tool：gildata-aidata MacroIndustryEDB
    • Query Example： 
      调用 gildata-aidata MacroIndustryEDB
query: "PMI CPI PPI 社融 信贷 M1 M2 进出口 工业增加值 社零 固投"
    • Key Focus: PMI (official/Caixin), CPI/PPI, imports and exports, social financing/credit, M1/M2, industrial value added, retail sales, fixed asset investment.
    • High-frequency Data: Blast furnace operating rate, commercial housing transaction area, pork/vegetable prices, rebar/cement prices (if EDB has no high-frequency data, you may use web_search as a supplement).

  2. Policy Dynamics Tracking

    • Tools：gildata-aidata PolicyMeetingsList + OfficialSpeechEventList + LawsRegulations
    • Query Examples： 
      调用 gildata-aidata PolicyMeetingsList
查询最新政策会议动态

调用 gildata-aidata OfficialSpeechEventList
查询央行行长、发改委官员等讲话

调用 gildata-aidata LawsRegulations
query: "央行 货币政策 OMO MLF LPR 专项债 减税降费"
    • Key Focus: PBOC (OMO, MLF, LPR, RRR cuts and rate cuts), Ministry of Finance (special bonds, special treasury bonds), State Council executive meetings, NDRC, CSRC.
    • Overseas Policy: Use web_search to query the Federal Reserve (FOMC statements, dot plot, officials' speeches), ECB, etc.

  3. Market Sentiment and Liquidity Conditions

    • Tools：gildata-aidata MacroNewslist + MacroeconomicAnalysisViewpoints + StockMarketCapitalFlow + HSGTTradeStats + MarginTradeStats
    • Query Examples： 
      调用 gildata-aidata MacroNewslist
query: "宏观经济 政策 最新舆情"

调用 gildata-aidata MacroeconomicAnalysisViewpoints
query: "宏观分析观点 最新"

调用 gildata-aidata StockMarketCapitalFlow
获取今日资金流向统计

调用 gildata-aidata HSGTTradeStats
获取北向资金数据

调用 gildata-aidata MarginTradeStats
获取融资融券数据
    • Key Focus: Capital flows (northbound/southbound, ETFs, margin balance), market sentiment (turnover, turnover rate), sentiment hotspots.

  4. Major Asset Class Market Performance

    • Tools：gildata-aidata IndexDailyQuote + MostActiveRateBondQuotation
    • Query Examples： 
      调用 gildata-aidata IndexDailyQuote
获取上证、创业板、沪深 300 等指数日行情

调用 gildata-aidata MostActiveRateBondQuotation
获取 10Y 国债等最活跃券收益率
    • Supplement: Exchange rates and commodities (crude oil, gold) market data can be supplemented with web_search .

Phase Two: Logical Analysis and Judgment

  1. Expectation Gap Analysis

    • Compare actual data with Wind/Bloomberg consensus expectations to identify data points that beat or miss expectations (Beat or Miss).
    • Analyze the drivers behind the data (seasonality, base effects, structural factors).

  2. Interpretation of Policy Intent

    • Interpret changes in policy wording (e.g., from "reasonably ample" to "precise and forceful").
    • Assess the feasibility of policy implementation and its actual impact on market liquidity.

  3. Asset Pricing Mapping

    • Equities: The interplay between the numerator side (earnings expectations) and the denominator side (risk-free rate, risk premium).
    • Bonds: Resonance or divergence between fundamentals (weak reality) and liquidity conditions (monetary easing).
    • FX: A comprehensive reflection of the China-US interest rate spread, trade balance, and central bank stance.
    • Commodities: The superposition of supply-demand mismatch, financial attributes (USD/interest rates), and geopolitical premium.

Phase Three: Report Generation

  1. Generate a Markdown-format report

Use the following standard template to generate the final report:

# 宏观日报 | [YYYY-MM-DD] [一句话核心观点]

> **分析师**：AI 宏观研究团队  
> **日期**：YYYY-MM-DD  
> **市场情绪**：🟢 乐观 / 🟡 中性 / 🔴 谨慎  
> **核心逻辑**：[简述当日市场交易的核心主线，如“宽信用预期升温”、“海外衰退交易主导”等]

---

## 一、 核心观点与策略建议

**1.1 宏观全景**
（总结当日宏观数据、政策及市场表现的核心特征，指出主要矛盾。例如：“今日公布的 3 月 CPI 低于预期，核心通胀依然疲软，印证了内需修复尚需时日……"）

**1.2 策略展望**
（基于宏观判断，给出大类资产配置建议。例如：“短期维持‘股强债弱’判断，建议超配上游资源品，低配长久期利率债……"）

---

## 二、 宏观数据高频追踪

| 指标 | 最新值 | 前值 | 预期值 | 边际变化 | 信号解读 |
|------|--------|------|--------|----------|----------|
| 官方制造业 PMI | | | | | |
| 财新服务业 PMI | | | | | |
| 30 城商品房成交 | | | | | |
| 猪肉批发价 | | | | | |
| 螺纹钢价格 | | | | | |

**数据点评**：
*   **超预期项**：（分析哪些数据好于预期，驱动了什么逻辑）
*   **不及预期项**：（分析哪些数据低于预期，暴露了什么隐患）
*   **高频信号**：（结合高频数据验证宏观逻辑，如开工率回升验证生产修复）

---

## 三、 政策动态与解读

**3.1 国内政策**
*   **[政策名称/事件]**：（简述政策内容）
    *   **解读**：（分析政策意图、力度、受益方向及潜在风险。例如：“央行开展 5000 亿 MLF 操作，利率维持不变，符合预期，但缩量续作显示央行对资金空转的警惕……"）

**3.2 海外政策**
*   **[美联储/欧央行等]**：（简述最新动态）
    *   **解读**：（分析对美元指数、美债收益率及国内货币政策的溢出效应）

---

## 四、 市场舆情与资金面

**4.1 资金流向**
*   **央行操作**：今日净投放/回笼 [金额] 亿元，资金面 [宽松/平衡/收敛]。
*   **北向资金**：净买入/卖出 [金额] 亿元，主要流向 [板块]。
*   **融资余额**：环比增加/减少 [金额] 亿元，杠杆资金情绪 [高涨/低迷]。

**4.2 舆情热点**
*   **热点一**：[事件描述] -> **市场反应**：[板块异动/情绪变化]
*   **热点二**：[事件描述] -> **机构观点**：[主流券商看法汇总]

---

## 五、 大类资产表现

| 资产类别 | 指标 | 收盘价/最新值 | 涨跌幅 | 核心驱动 |
|---------|------|---------------|--------|----------|
| **权益** | 上证指数 | | | |
| | 创业板指 | | | |
| **债券** | 10Y 国债收益率 | | | |
| | 10Y 美债收益率 | | | |
| **汇率** | 美元兑人民币 (在岸) | | | |
| | 美元指数 | | | |
| **商品** | 布伦特原油 | | | |
| | 现货黄金 | | | |

**资产轮动分析**：
（分析股债商汇的联动关系，如“股债跷跷板效应显现”、“商品领涨反映通胀预期”等）

---

## 六、 风险提示

*   [风险点 1]：如“海外通胀粘性超预期，美联储降息路径推迟”
*   [风险点 2]：如“国内地产销售修复不及预期，拖累信用扩张”
*   [风险点 3]：如“地缘政治冲突升级，能源价格剧烈波动”

---

*免责声明：本报告由 AI 自动生成，基于公开数据与宏观模型分析，仅供参考，不构成任何投资建议。*

Notes

  • Timeliness First: The daily report must be based on the latest data and news fromthe same dayorthe most recent 24 hours.
  • Clear Views: Avoid ambiguous statements; must provide clear logical reasoning and directional judgments (bullish/bearish/range-bound).
  • Expectation Gap Thinking: Not only list the data, but also emphasize the deviation between actual values and market expectations (Expectation Gap), which is the core of market trading.
  • Interconnection Perspective: When analyzing a single indicator, it must be cross-validated with other assets or the macro backdrop (e.g., when analyzing exchange rates, combine interest rate spreads and trade data).
  • Professional Terminology: Use standard macro and financial market terminology (e.g., "broad credit", "term spread", "risk premium", "scissors gap", etc.).
  • gildata-aidata priority: For all domestic macro data, policy, liquidity, and market quotes, prioritize the use of the gildata-aidata service; web_search is only used to supplement overseas policy and high-frequency detail data.

Example invocation

User input: "Generate today's macroeconomic briefing"

Skill execution:

  1. Fetch macro data: gildata-aidata MacroIndustryEDB
  2. Fetch policy meetings: gildata-aidata PolicyMeetingsList
  3. Fetch official speeches: gildata-aidata OfficialSpeechEventList
  4. Fetch laws and regulations: gildata-aidata LawsRegulations
  5. Fetch macro public opinion: gildata-aidata MacroNewslist + MacroeconomicAnalysisViewpoints
  6. Fetch capital flows: gildata-aidata StockMarketCapitalFlow + HSGTTradeStats + MarginTradeStats
  7. Fetch market quotes: gildata-aidata IndexDailyQuote + MostActiveRateBondQuotation
  8. Supplement overseas data: web_search to query the Federal Reserve, U.S. Treasuries, etc.
  9. Write report: generate a Markdown-format macro daily report according to the template
  10. Output report: display the full report content directly in the conversation

Skill update log

2026-05-11 update：

  • Core data source change: Changed macro data queries to prioritize the gildata-aidata service
  • Added tool matrix: Established a gildata-aidata tool query reference table for the macro daily report (MacroIndustryEDB, PolicyMeetingsList, OfficialSpeechEventList, LawsRegulations, etc.)
  • Optimized data retrieval order: Clarified that gildata-aidata is prioritized for domestic macro, policy, capital, and market data, while web_search is only used to supplement overseas policy details
  • Removed single web_search dependency: The original skill mainly relied on web_search; it now fully integrates the gildata-aidata professional macro and public opinion database

Skill version：v2.0
Last updated：2026-05-11
Maintainer: Dianjin Intelligent Assistant