SuperAPI AI Directory

valuation_snapshot_skill

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Updated 10-15 17:27

About this skill

Valuation Snapshot Skill

Data dependencies and execution prerequisites

It is recommended to use Wind wind-mcp-skill to obtain the underlying data. Before execution, first check whether wind-mcp-skillalready exists locally; if not, prompt the user to install:

# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y

# Gitee 镜像(国内)
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y

Skill positioning

This skill is used to quickly answer "roughly how expensive is this stock now" and to explain the market expectations behind whether it is expensive or cheap. The output focus is not to build a complete valuation model, but to form a preliminary judgment of the current odds within limited time using appropriate valuation measures, historical percentiles, and peer comparisons.

Execution process

Step 1: Confirm the applicable valuation perspective

First determine which valuation measure is more suitable for observing the company, commonly including:

  • Profit-driven companies: look at profit-based multiples
  • High-growth companies or companies whose profits are not yet stable: look at revenue-based multiples
  • Companies with obvious asset attributes: look at net assets or replacement value
  • Companies with obvious cyclical attributes: look at the cycle position and mid-cycle valuation

If the company is in a special stage, it should be clearly stated that traditional valuation measures may be distorted.

Step 2: Extract the current valuation level and historical range

Collect current valuation indicators and, as much as possible, place them back into historical coordinates for judgment:

  • Whether the current level is at a historical high, middle, or low
  • Whether there is an obvious premium or discount compared with several key past stages
  • Whether the current valuation has significantly deviated from the pace of its own operating changes

If the historical data itself is affected by extreme events, this should be explained separately and not used mechanically.

Step 3: Add peer and industry references

Valuation judgment cannot rely only on its own history; it must also look at relative position:

  • Valuation differences between industry leaders and second-tier companies
  • Common reasons the market gives a premium or discount
  • Whether the company's current position reasonably reflects its competitive position, growth quality, and risk structure

If it is a thematic stock or a highly volatile stock, also pay attention to short-term distortions in valuation caused by sentiment factors.

Step 4: Explain the expectation requirements behind the "valuation position"

A truly useful valuation judgment is not about whether the multiple itself is "high/low," but rather:

  • How strong are the growth and profitability improvement assumptions implied by the current price
  • Which conditions need to be delivered in the future for the current valuation to hold up
  • Which variables, once they fail, are most likely to compress the valuation

This step should reconnect valuation with operating variables.

Step 5: Determine the triggers for re-rating or de-rating

List the factors most likely to change the valuation level in the future, such as:

  • Earnings beating or missing expectations
  • Improvement or deterioration in business structure
  • Changes in industry boom trends
  • Policy, financing, and market style rotation

Help users understand that valuation is not a static number, but the result of dynamic expectations.

Step 6: Output concise conclusions and usage suggestions

Finally, clearly answer:

  • Roughly where the stock's current valuation stands
  • Whether this position is reasonable, high, or low
  • Whether it is more suitable to continue observing, pay attention on dips, or require stronger delivery before it is worth approaching

Output structure


{Stock Name} Valuation Snapshot ({YYYY-MM-DD})

I. Valuation Conclusion

  • Current Valuation Assessment: {Low / Fair / High}
  • Historical Position: {Low / Mid / High}
  • Relative Position vs. Peers: {Discount / In Line / Premium}

II. Core Valuation Table

Dimension Current Situation Interpretation
Primary Valuation Metric {Indicator} {Why It Applies}
Current Level {Value} {Explanation}
Historical Percentile {Position} {Explanation}
Peer Comparison {Result} {Explanation}

III. What Expectations Are Implied by the Current Price

  • {Expectation 1}
  • {Expectation 2}
  • {Expectation 3}

IV. Why There Is a Premium or Discount

Reasons for Premium/Discount

  • {Reason 1}
  • {Reason 2}

Unreasonable Aspects

  • {Unreasonable Point 1}
  • {Unreasonable Point 2}

V. Key Triggers for Future Valuation Changes

  • Conditions Favorable for Re-rating: {Condition}
  • Risks Leading to De-rating: {Condition}

VI. Usage Recommendations

  • Suitable Action: {Continue Observing / Wait for Verification / Worth Close Tracking}
  • Variable to Watch Most Closely: {Variable}

Quality Requirements

  1. Choose the right valuation metric first, then discuss whether it is high or low; do not mechanically apply a single multiple.
  2. Valuation conclusions must return to operations and expectations, and must not remain at the surface level of numbers.
  3. Both historical and peer comparisons must clearly explain the metric and boundaries to avoid misleading comparisons.
  4. If the company is in an abnormal phase, the limitations of the valuation reference should be clearly pointed out.
  5. The output should serve "odds judgment," rather than writing valuation as an isolated math problem.