Nalanda Capital Framework
Nalanda Capital stock valuation
Description
Recommended by
淡苍
Why we love this skill
This skill applies Nalanda Capital's rigorous investment framework, using a 'presumption of guilt' and data-driven seven-step analysis to deeply evaluate stock value. Unique and highly insightful.
Based on the investment philosophy of Nalanda Capital from Prakash Prasad's book 'Investment Lessons I Learned from Darwin', it performs a systematic in-depth analysis of any stock. Input a stock ticker, and receive a complete report using Nalanda's 7-dimension framework: Six No-Invest Exclusions, ROCE Quality Screener, Proximal vs Ultimate Factors, Signaling Theory Test, Valuation Margin of Safety, and Presumption of Guilt Judgment.
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Nalanda Capital Framework
Nalanda Capital stock valuation
Description
Recommended by
淡苍
Why we love this skill
This skill applies Nalanda Capital's rigorous investment framework, using a 'presumption of guilt' and data-driven seven-step analysis to deeply evaluate stock value. Unique and highly insightful.
Based on the investment philosophy of Nalanda Capital from Prakash Prasad's book 'Investment Lessons I Learned from Darwin', it performs a systematic in-depth analysis of any stock. Input a stock ticker, and receive a complete report using Nalanda's 7-dimension framework: Six No-Invest Exclusions, ROCE Quality Screener, Proximal vs Ultimate Factors, Signaling Theory Test, Valuation Margin of Safety, and Presumption of Guilt Judgment.
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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.

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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