valuation-prosperity-tracking

Track industry valuation percentiles and prosperity signals via gildata-aidata.

580|66|Updated Apr 21, 2025
One-click install
npx skills add https://github.com/aliyun/qwen-dianjin --skill valuation-prosperity-tracking
Or copy as Structured Prompt for Agent
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Skill: valuation-prosperity-tracking
Source: https://github.com/aliyun/qwen-dianjin/tree/main/DianJin-SKILLS/investment-researcher/valuation-prosperity-tracking
Command: npx skills add https://github.com/aliyun/qwen-dianjin --skill valuation-prosperity-tracking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps securities strategists continuously monitor industry valuation levels and high-frequency prosperity signals to identify overvaluation bubbles, turning points, and value-for-money opportunities without manually stitching disparate data sources.

Core Features & Use Cases

  • Industry valuation percentile tracking: Monitors absolute valuation (PE TTM, PB MRQ) and relative valuation percentiles (1/3/5/10Y) to classify valuation states (undervalued, reasonable, bubble, extreme bubble) and raise bubble warnings.
  • High-frequency prosperity tracking: Tracks key sector indicators (price, volume/operating rates, and earnings expectation changes) and detects turning points using consecutive period trends and abnormal divergence signals (valuation vs. prosperity mismatch).
  • Value-for-money matrix reporting: Produces a standardized Markdown report that combines prosperity score and valuation score into actionable categories (e.g., “double good”, “value repair”, “avoid”, “high prosperity with high valuation”).

Note

  • All data queries must use the gildata-aidata service.

Quick Start

Ask the AI to generate a latest-date industry valuation and prosperity tracking report for the industries you care about, using gildata-aidata for valuation, macro-industry indicators, and analysis viewpoints.

Frequently Asked Questions about valuation-prosperity-tracking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is industry valuation percentile tracking and how does it detect bubble risks?

Industry valuation percentile tracking monitors absolute and relative valuation metrics like PE TTM and PB MRQ across 1 to 10-year periods. It classifies valuation states and raises bubble warnings to inform securities sector rotation decisions.

How do I track high-frequency prosperity signals to find industry inflection points?

To track high-frequency prosperity signals, monitor key sector indicators including price, volume, operating rates, and earnings expectation changes. Detect turning points by analyzing consecutive period trends and identifying abnormal divergence signals where valuation mismatches prosperity.

How do I generate a markdown report combining industry valuation and prosperity scores?

Generate a value-for-money matrix report by retrieving data through gildata-aidata calls for IndustryValuation and MacroIndustryEDB. The standardized markdown output categorizes industries into actionable groups like value repair or high prosperity with high valuation.

Does gildata-aidata support macro industry EDB data for sector rotation analysis?

Yes, gildata-aidata supports macro industry EDB data retrieval. It provides SectorRank, SectorFundFlowRank, and IndustryAnalysisViewpoints, which are used for percentile computation, trend detection, and prosperity signal generation.

What are the limitations of using valuation percentiles without prosperity tracking?

Using valuation percentiles without prosperity tracking risks missing inflection points caused by abnormal divergence. Relying solely on valuation metrics ignores high-frequency indicators like operating rates and earnings expectations, leading to incomplete value-for-money assessments.