Macro Event Market Impact Skill
Data Dependencies and Pre-execution Requirements
It is recommended to use Wind's
to obtain underlying data. Before execution, check whether
is already available locally; if not, prompt the user to install it:
bash
# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y
# Gitee Mirror (Domestic China)
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y
Skill Positioning
This skill is used to interpret the impact of macro events on the market, answering questions such as "What exactly exceeded expectations in this data or meeting, which assets and sectors are affected first, why the short-term market reacted this way, and how to reunderstand the environment in the medium term". The key output is not repeating news headlines, but breaking down expectation gaps, transmission paths, and the real implications for the stock market.
Execution Process
Step 1: Confirm Macro Event, Expected Baseline and Context of the Timing
First, clarify what macro event is to be interpreted, and establish the benchmark background before the event:
- Is it inflation, employment, growth, interest rates or policy meetings
- What was the market's mainstream expectation before the event was announced
- Is the market's most sensitive variable currently inflation, growth, liquidity or policy path
- Was the market in a state of rising risk appetite or defensive stance before this event occurred
Without an expected baseline, macro interpretation tends to stay at the superficial judgment of "good or bad data".
Step 2: Identify the Real Expectation Gap of This Event
The focus of macro events is not the data itself, but what has changed compared to market expectations. Key points include:
- Which core data point exceeded or fell short of expectations
- Whether the variable the market was most worried about has been alleviated or intensified
- Whether the internal structure of the data is more important than the headline figure
- Whether this event has changed the subsequent narrative of policy, liquidity or growth
Step 3: Disassemble the Impact Transmission Chain
Focusing on the stock market, explain how impacts are usually transmitted:
- First affect interest rates, exchange rates, commodities or risk appetite
- Then affect style comparisons such as growth vs value, cyclical vs defensive
- Further affect profit expectations and valuation tolerance for specific industries
- Finally affect the market's pricing of the environment in the coming weeks or months
It is necessary to separate immediate price fluctuations from slower narrative repricing.
Step 4: Analyze Differentiated Impacts on Sectors and Styles
Different sectors have different sensitivities to the same macro event, and it is necessary to explain:
- Which industries are direct beneficiaries
- Which industries are more likely to come under pressure
- Which sectors' reactions mainly come from valuation changes and which come from fundamental changes
- What may be the reason if the market shows a counterintuitive performance
Step 5: Distinguish Short-term Trading Reactions from Medium-term Environmental Implications
Further judge:
- Is today's market reaction reasonable pricing or emotional amplification
- Is the event sufficient to change the medium-term market main line
- If it is just a disturbance, which subsequent data still need to be confirmed
- If the environment does switch, how should styles and positions be adjusted
Step 6: Form the Final Macro Impact Interpretation Draft
The final output should let users know what this macro event has affected, how deep the impact is, and what follow-up variables to monitor. The main text only retains expectation gaps, transmission logic, differentiated impacts and tracking points.
Output Structure
Market Impact Interpretation of {Macro Event Name} ({YYYY-MM-DD})
1. 30-second Conclusion
- Largest Expectation Gap This Time: {One sentence}
- Main Impact Direction on Stock Market: {Bullish / Bearish / Neutral and complex}
- Most Sensitive Style or Sector: {Content}
- Medium-term Implication Judgment: {Environment improved / Environment under pressure / To be confirmed}
2. Event Facts vs Expectations
| Item | Announced Result | Pre-event Expectation | Implication of Change |
|---|
| Core Indicator 1 | {Content} | {Content} | {Judgment} |
| Core Indicator 2 | {Content} | {Content} | {Judgment} |
| Core Indicator 3 | {Content} | {Content} | {Judgment} |
3. Impact Transmission Path
- First-layer Transmission: {Content}
- Second-layer Transmission: {Content}
- Third-layer Transmission: {Content}
4. Impacts on Sectors and Styles
- Beneficiary Direction: {Content}
- Pressure-bearing Direction: {Content}
- Most Notable Misaligned Reaction: {Content}
5. Short-term and Medium-term Judgment
- Interpretation of Short-term Trading Reaction: {Content}
- Medium-term Environmental Implication: {Content}
- Variables Still Needing Verification: {Content}
6. Follow-up Observation List
- {Observation Point 1}
- {Observation Point 2}
- {Observation Point 3}
Quality Requirements
- Macro interpretation must focus on "expectation gaps" rather than just stating whether data is good or bad.
- Separate immediate market reactions from medium-term environmental repricing for analysis.
- Reflect differentiated sensitivities of styles and industries, avoiding average conclusions.
- If the market reaction is counterintuitive, prioritize explaining the reason instead of ignoring it.
- The output should help users judge the depth and persistence of the event's impact, rather than staying at news repetition.