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Skillspolicy-flash-briefing

policy-flash-briefing

Data & analytics

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Updated 10-15 19:55

About this skill

Securities Strategist Policy & Event Flash Briefing

Overview

This skill is designed specifically for **"trading-oriented strategy research"and aims to provideminute-level/hour-levelrapid response to sudden policies, major macroeconomic data, and sharp intraday movements. Unlike in-depth research reports, this skill focuses on"immediate market reaction"and"expectation gap trading"**, providing traders with direct decision support.

Core logic:

  1. Qualitative: What is the nature of the policy/event? (Monetary, fiscal, regulatory, industrial?)
  2. Quantitative/Expectations: How strong is it? Does it exceed expectations? (In line with expectations = good news priced in, exceeding expectations = new main line)
  3. Transmission: Who benefits? Who is hurt? Is it sentiment impact or substantive impact?
  4. Response: How to act? (Chase highs, buy dips, wait and see, hedge?)

All data queries must use the gildata-aidata service。

Applicable scenarios

  • Sudden policy: Central bank rate cuts/RRR cuts, new CSRC policies (such as restricting short selling, encouraging dividends), Ministry of Finance bond issuance, communiques of important meetings (Politburo meeting, State Council executive meeting).
  • Data anomalies: CPI/PPI, social financing, PMI significantly exceeding or falling short of expectations.
  • Sharp intraday drop/surge: Market panic or frenzy without clear news, requiring investigation of causes and response recommendations.
  • Industry regulation: Sudden new rules targeting specific industries (such as internet, pharmaceuticals, education, real estate).

Data collection guidelines (gildata-aidata tool mapping)

All data must be obtained through the gildata-aidata service, with specific tool calls as follows:

Macroeconomic data query

finx gildata-aidata MacroIndustryEDB --body '{"indicatorCode": "指标代码", "startDate": "开始日期", "endDate": "结束日期"}'

Query economic indicator data such as China macro, industry economy, and international macro (such as M1, M2, social financing, CPI, PPI, PMI, etc.) to verify whether macroeconomic data exceed expectations.

Policy and public opinion acquisition

finx gildata-aidata PolicyMeetingsList --body '{"limit": 5}'

Query policy meeting dynamics and content in the domestic economic and financial field, and analyze policy logic.

finx gildata-aidata OfficialSpeechEventList --body '{"limit": 5}'

Query speeches and activity information of important domestic and international officials.

finx gildata-aidata LawsRegulations --body '{"keyword": "关键词"}'

Query laws and regulations information, supporting filtering by type and keywords, used to verify regulatory policies.

finx gildata-aidata MacroNewslist --body '{"limit": 5}'

Query macro public opinion, supporting filtering by region and sentiment type for economic forecasts and events.

finx gildata-aidata MacroeconomicAnalysisViewpoints --body '{"limit": 5}'

Obtain analytical views on macroeconomic dimensions such as GDP, CPI, PMI, and policy from research reports.

Market background and quotes

finx gildata-aidata IndexLiveQuote --body '{"indexCode": "指数代码"}'

Obtain real-time A-share index quotes to judge the market state during intraday anomalies.

finx gildata-aidata StockMarketTradeStats --body '{"tradeDate": "交易日期"}'

Obtain trading statistics such as trading volume, turnover, and number of trades in the Shanghai, Shenzhen, and Beijing markets, and analyze volume coordination.

Industry/sector performance

finx gildata-aidata SectorRank --body '{"sectorType": "行业板块", "tradeDate": "交易日期"}'

Obtain the sector list and sort by indicators such as price change and turnover rate to identify leading/lagging sectors after policy announcements.

finx gildata-aidata SectorFundFlowRank --body '{"sectorType": "行业板块", "tradeDate": "交易日期"}'

Sort sectors by capital flow indicators and analyze whether main funds are entering related sectors.

finx gildata-aidata IndustryAnalysisViewpoints --body '{"industry": "行业名称", "limit": 5}'

Obtain analytical views on industry trends, competitive landscape, policies, etc. from research reports.

Capital Flows and Sentiment

finx gildata-aidata HSGTTradeStats --body '{"tradeDate": "交易日期"}'

Obtain trading statistics for the Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect markets to judge foreign investors' attitudes toward policies.

finx gildata-aidata MarketLimitUpDownCount --body '{"tradeDate": "交易日期"}'

Obtain real-time statistics on the number of advancing, declining, limit-up, and limit-down stocks in the Shanghai, Shenzhen, and Beijing markets to judge market sentiment.

Execution Process

Phase 1: Event Capture and Factor Extraction

  1. Confirm facts: Through PolicyMeetingsList / LawsRegulations confirm the authenticity, release time, and issuing institution of the event.
  2. Extract the core: Summarize the core content of the policy in one sentence (e.g., "The central bank announces a 15bp cut in LPR").
  3. Identify expectations: Through MacroIndustryEDB compare with historical data or market expectations to determine whether it exceeds expectations.

Phase 2: Logical Deduction and Impact Analysis

  1. Expectation gap analysis：
    • Better than expected positive: May ignite a new main line, and there may be rush buying at the open.
    • In line with expectations: Good news realized, beware of a spike and pullback.
    • Below expectations/bearish: Sentiment-driven selloff, look for oversold opportunities or stop losses.
  2. Sorting out transmission paths：
    • Use SectorRank and SectorFundFlowRank to observe market reactions.
    • Direct beneficiaries: Sectors with the strongest logic.
    • Sentiment beneficiaries: High-elasticity instruments (such as micro-cap stocks and brokerages).
    • Damaged sectors: Areas clearly under pressure.
  3. Capital game prediction: Combine HSGTTradeStats and MarketLimitUpDownCount to judge the attitudes of institutions, hot money, and foreign capital.

Phase 3: Strategy Generation

  1. Output report: Generate a standardized Markdown quick commentary report, noting the data sources.

Standard Report Template (Markdown)

# ⚡ 策略快评 | [事件名称]：[一句话核心结论]

> **数据来源**: gildata-aidata 专业金融数据服务
> **发布时间**：YYYY-MM-DD HH:MM  
> **事件性质**：[货币政策 / 财政政策 / 行业监管 / 宏观数据 / 市场异动]  
> **超预期程度**：[🔥 大幅超预期 / 🟡 符合预期 / ❄️ 不及预期 / 利空]

---

## 一、 事件摘要

*   **核心内容**：[简述政策/事件核心]
*   **市场背景**：[基于 IndexLiveQuote 和 StockMarketTradeStats 描述发布时的市场环境]

---

## 二、 核心解读与预期差分析

**1. 政策意图与力度**
*   [分析政策背后的意图，结合 MacroIndustryEDB 数据]

**2. 预期差研判 (关键)**
*   **[超预期/符合/不及]**：市场此前预期为 [X]，实际结果为 [Y]。
*   **交易含义**：[分析交易层面的影响]

---

## 三、 市场影响与板块梳理

| 影响方向 | 涉及板块/领域 | 核心逻辑 | 持续性预判 |
|----------|--------------|----------|------------|
| 🔥 **直接利好** | [板块 A]、[板块 B] | [逻辑] | [短/中/长] |
| 📉 **直接利空** | [板块 C] | [逻辑] | [短/中/长] |
| 🟡 **情绪提振** | [板块 D] | [逻辑] | [短] |

**资金博弈推演**：
*   **机构**：[结合 SectorFundFlowRank 数据分析机构动向]
*   **游资**：[结合 MarketLimitUpDownCount 数据分析游资情绪]
*   **外资**：[结合 HSGTTradeStats 分析北向资金流向]

---

## 四、 策略应对建议 (Actionable Insights)

**1. 短线交易 (T+0 / T+1)**
*   **操作建议**：[具体操作策略]
*   **关注标的**：[代表性方向]
*   **风险提示**：[风险提示]

**2. 中线配置**
*   **操作建议**：[中线配置思路]

**3. 风控提示**
*   [风控建议]

---

*免责声明：本快评基于 gildata-aidata 公开信息即时生成，仅供参考，不构成投资建议。市场有风险，投资需谨慎。*

Precautions

  • Uniqueness of data sources: All macroeconomic data, policy information, market quotes, and sector performance must be obtained through gildata-aidata services to ensure data authority.
  • Speed first: When information is incomplete, first give a preliminary judgment, which can be updated later.
  • Expectation gap is the core: Do not just restate the news; you must point out "what the market did not expect" or "what the market got wrong."
  • Distinguish sentiment from substance: Clearly distinguish whether it is "sentiment-driven speculation" (such as concept themes) or "fundamental improvement" (such as upward revision of earnings expectations).
  • Objective and neutral: Avoid excessive optimism or pessimism, and speak based on data and historical patterns.
  • Disclaimer: Must include risk warnings and emphasize that it is not investment advice.
  • Tool invocation specifications: When invoking gildata-aidata tools, the date format must comply with API requirements, and indicator codes must be accurate.