XVARY Stock Research

XVARY Stock Research

[](./LICENSE) [](https://www.python.org/) [](./SKILL.md) [](https://xvary.com)

Type `/analyze NVDA` in Claude Code and get a thesis-driven equity report with conviction scoring, kill criteria, and an EDGAR-backed financial snapshot -- in under two minutes, from public data, for free.

This is the open skill layer of [XVARY Research](https://xvary.com). We run a 21-stage pipeline to produce institutional-depth stock analysis. This repo gives you the methodology framework, the data tools, and the scoring models. The full 22-section deep dives live at [xvary.com](https://xvary.com).

*We recognize Linux Do community*

From the live site (NVDA deep dive)

Captured from **[xvary.com/stock/nvda/deep-dive/](https://xvary.com/stock/nvda/deep-dive/)** — same product surface the skill is designed to complement.

*Regenerate these assets:* `npm install && npm run screenshots:nvda` (see `scripts/screenshot_xvary_nvda.mjs`).

What you get that raw data tools don't

• A verdict, not a spreadsheet -- "Constructive at 74/100 conviction"
• Named kill criteria -- exactly what would break the thesis
• Composite scores across four dimensions, not just price ratios
• Analysis that reads like a research desk, not a terminal dump

Quick Start

Clone and verify

git clone git@github.com:xvary-research/claude-code-stock-analysis-skill.git
cd claude-code-stock-analysis-skill
python3 tools/edgar.py AAPL    # pulls SEC XBRL data
python3 tools/market.py AAPL   # pulls price + ratios

**XVARY monorepo:** if you already have the full workspace, this skill lives at `9. Marketing/xvary skill/`.

Install as a Claude Code skill

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