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stock-analysis

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Use when asked to analyze, research or value a listed stock or company (US, global, NSE or BSE). Verifies data with verify_data.py, computes ratios, scores and valuation, and checks the report with lint_report.py.

finance/skills/stock-analysis/SKILL.md

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# Stock Analysis

Produce an evidence-backed fundamental analysis of one company, benchmarked against the right peers, and delivered as a written report plus a sector-relative scorecard.

## The principle that governs everything here

**A financial metric carries no meaning until you know the sector it came from and the company's own history.**

If X earns a 20% operating margin and Y earns 30%, that tells you nothing about which is the better business. Y may be in software (where 30% is mediocre) and X in distribution (where 20% is exceptional). Y's 30% may need three times the capital to produce, so X earns a far higher return on the money invested. Y's margin may be eroding while X's compounds.

Two consequences shape this whole skill:

1. **Never rank companies on a single metric.** Every judgement combines profitability, returns on capital, cash conversion, balance sheet, growth durability, governance, and price.
2. **Compare like with like.** Benchmark against sector peers or against the company's own multi-year record — never a raw cross-industry number. For banks, insurers, REITs and miners the standard ratios are not merely less useful, they are *undefined or inverted*; those sectors need their own metric set entirely.
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