Duan Yongping Stock Selection
Good Business, Good Company, Good Price
Description
An A-share research assistant grounded in value investing. It analyzes business models, competitive moats, financial quality, and valuation to help investors identify outstanding companies with long-term compounding potential.
Related Skills
View all
Dorsey Investment Analyzer V2
A structured investment analysis Skill based on Pat Dorsey's 'The Little Book That Builds Wealth' methodology. It provides users with Go/No-Go investment decision assistance through a six-phase workflow (Fast Screening → Moat → Financial Health Check → Management Assessment → Valuation → Decision). Core features: Cash Flow Priority, Moat Centricity, Margin of Safety Discipline, Dual-Core Adversarial Engine (Analysis Executor + Quality Auditor), Strict Step-by-Step Mechanism. Suitable for individual stock investment analysis, quick screening, complete investment report generation, and other scenarios.
Financial & Stock Valuation V4
Based on the AFP four-step framework, this Skill analyzes A-share companies' financial reports, strategy, cash flow, capital structure, and earnings quality. It then uses relative valuation and FCFF/WACC scenario analysis to produce a traceable reference for investment research.
Deep Stock Research Engine
Not a news summary, but an individual stock research report with a methodological framework. Enter a company (A-share/H-share/US stock name or code), and it will perform 10-15 bilingual web searches to produce a report based on a seven-dimension framework: ① Business Model – where money comes from and goes, with a "translated into plain language" version ② Revenue Structure – breakdown by business, growth engines and drags ③ Moat – mandatory answer on widening or narrowing, using market share, gross margin, and pricing power ④ Financial Quality – cash flow vs profit alignment, changes in receivables, inventory, and goodwill ⑤ Competitive Landscape – competitor comparison table and concentration direction ⑥ Valuation Framework – only data and calculation framework, no judgment of over/undervaluation ⑦ Risk List – sorted by impact, each with verifiable trigger signals Each report includes: a one-page bull/bear summary (with substantial evidence on both sides), a next-quarter tracking list, and data sources for each point. Three iron rules: · Each key number is traceable to official filings or authoritative media; if not found, labeled 'insufficient information', never fabricated · Facts, calculations, and inferences are labeled separately · No stock price predictions, no target prices, no buy/sell advice – even for 'should I buy', only bull/bear evidence is given Supports three perspectives: Understand the Business (default), Financial Checkup, and Company Comparison. Suitable for investment researchers, financial content creators, and serious investors who want to systematically understand a company.
Duan Yongping Stock Selection
Good Business, Good Company, Good Price
Description
An A-share research assistant grounded in value investing. It analyzes business models, competitive moats, financial quality, and valuation to help investors identify outstanding companies with long-term compounding potential.
Related Skills
View allDorsey Investment Analyzer V2
A structured investment analysis Skill based on Pat Dorsey's 'The Little Book That Builds Wealth' methodology. It provides users with Go/No-Go investment decision assistance through a six-phase workflow (Fast Screening → Moat → Financial Health Check → Management Assessment → Valuation → Decision). Core features: Cash Flow Priority, Moat Centricity, Margin of Safety Discipline, Dual-Core Adversarial Engine (Analysis Executor + Quality Auditor), Strict Step-by-Step Mechanism. Suitable for individual stock investment analysis, quick screening, complete investment report generation, and other scenarios.
Financial & Stock Valuation V4
Based on the AFP four-step framework, this Skill analyzes A-share companies' financial reports, strategy, cash flow, capital structure, and earnings quality. It then uses relative valuation and FCFF/WACC scenario analysis to produce a traceable reference for investment research.
Deep Stock Research Engine
Not a news summary, but an individual stock research report with a methodological framework. Enter a company (A-share/H-share/US stock name or code), and it will perform 10-15 bilingual web searches to produce a report based on a seven-dimension framework: ① Business Model – where money comes from and goes, with a "translated into plain language" version ② Revenue Structure – breakdown by business, growth engines and drags ③ Moat – mandatory answer on widening or narrowing, using market share, gross margin, and pricing power ④ Financial Quality – cash flow vs profit alignment, changes in receivables, inventory, and goodwill ⑤ Competitive Landscape – competitor comparison table and concentration direction ⑥ Valuation Framework – only data and calculation framework, no judgment of over/undervaluation ⑦ Risk List – sorted by impact, each with verifiable trigger signals Each report includes: a one-page bull/bear summary (with substantial evidence on both sides), a next-quarter tracking list, and data sources for each point. Three iron rules: · Each key number is traceable to official filings or authoritative media; if not found, labeled 'insufficient information', never fabricated · Facts, calculations, and inferences are labeled separately · No stock price predictions, no target prices, no buy/sell advice – even for 'should I buy', only bull/bear evidence is given Supports three perspectives: Understand the Business (default), Financial Checkup, and Company Comparison. Suitable for investment researchers, financial content creators, and serious investors who want to systematically understand a company.
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