undervalued-stock-screener

Screens A-share stocks for strong fundamentals trading below industry valuation medians.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/xiaoshan1234/ai-skill --skill undervalued-stock-screener-xiaoshan1234
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Skill: undervalued-stock-screener
Source: https://github.com/xiaoshan1234/ai-skill/tree/main/role/stock-manager/skills/undervalued-stock-screener
Command: npx skills add https://github.com/xiaoshan1234/ai-skill --skill undervalued-stock-screener-xiaoshan1234

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Finding genuinely undervalued companies in the A-share market requires comparing valuation multiples against industry peers while filtering out value traps, which is time-consuming to do manually across thousands of listed companies. ## Core Features & Use Cases - Multi-Factor Screening: Filters stocks by PE/PB below Shenwan industry medians, positive revenue and profit CAGR, low debt ratios, positive free cash flow, and above-average ROE/ROIC, automatically excluding ST stocks and recent loss-makers. - Deep Value Analysis: Produces per-company analysis covering business moats, reasons for undervaluation, core risks, and multi-method valuation ranges (PE, PB-ROE, EV/EBITDA, DCF). - A-Share Specific Methodology: Applies industry-differentiated benchmarks, deducts non-recurring items from earnings, and flags common value traps like subsidy dependence and goodwill impairment risk. - Use Case: Ask for the 10 most undervalued mid-cap companies in the food and beverage sector, and receive a structured report with valuation comparisons, fundamental metrics, and estimated upside ranges. ## Quick Start Screen the A-share market for 10 undervalued companies with strong fundamentals and show me the valuation analysis report.

Frequently Asked Questions about undervalued-stock-screener

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

FAQPage Schema
How do I screen for undervalued A-share stocks?

Specify your screening scope (whole market, a Shenwan industry, or a specific board), market cap range, result count, and focus style such as deep value or PEG-based growth value. The skill filters by PE/PB below industry medians, positive growth, healthy balance sheets, and strong ROE, then outputs a structured analysis report.

What criteria identify value traps in stock screening?

Value traps are flagged by low PE combined with low ROE, revenue growth with declining profits, operating cash flow persistently weaker than net income, high receivables, large goodwill, and heavy reliance on government subsidies. A-share specific checks include non-recurring income masking weak core operations and high share pledge ratios.

Does the screener work for banks and financial stocks?

Yes, but financial companies use sector-specific metrics instead of standard debt ratios. Banks are evaluated on core tier-1 capital adequacy above 8.5% and provision coverage above 150%, while insurers use solvency ratios, since standard asset-liability ratios do not apply to financial institutions.

Can I get real-time market data for the valuation analysis?

Yes, the skill integrates with the findata-toolkit-cn skill, which provides free A-share real-time quotes, financial indicators, insider trading data, northbound capital flows, and macro data without requiring API keys.

Why does the screener use industry-relative valuation instead of absolute thresholds?

A-share valuation levels are structurally higher than mature markets and vary enormously across industries, so absolute PE cutoffs misclassify stocks. Comparing within Shenwan industry classifications avoids treating a 0.6x PB bank or a 40x PE software company as automatically cheap or expensive.

What are the limitations of low valuation stock screening?

Low valuation does not equal investment opportunity, since cheap stocks may stay cheap due to structural decline or governance problems. The analysis relies on historical public data with reporting lag, and the output is informational only, not investment advice.