xvary-stock-research

XVARY Stock Research

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. 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.

We recognize Linux Do community

From the live site (NVDA deep dive)

Captured from 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 [email protected]: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

mkdir -p ~/.claude/skills/xvary-stock-research
cp SKILL.md ~/.claude/skills/xvary-stock-research/SKILL.md
cp -R references tools examples ~/.claude/skills/xvary-stock-research/

Or skip the install entirely -- open Claude Code in this repo and say:

Read SKILL.md and run /analyze AAPL

Plugin marketplace (same folder): open this directory as the marketplace root (it contains .claude-plugin/marketplace.json), then in Claude Code run /plugin marketplace add . and /plugin install xvary-stock-research@xvary-research. Validate with claude plugin validate . before you tag a release.

Public GitHub checkout: /plugin marketplace add xvary-research/claude-code-stock-analysis-skill then /plugin install xvary-stock-research.

Commands

Command	What it does
/analyze {ticker}	1-page thesis + scorecard + risks + EDGAR-backed financial snapshot
/score {ticker}	Momentum, Stability, Financial Health, and Upside Estimate
/compare {A} vs {B}	Side-by-side score, thesis, and risk differential

Example: /analyze NVDA

Full example: examples/nvda-analysis.md

Verdict: CONSTRUCTIVE (Conviction 74/100)

┌─────────────────┬───────┬──────────────────────────────────────────────┐
│ Score           │ Value │ Read                                         │
├─────────────────┼───────┼──────────────────────────────────────────────┤
│ Momentum        │  88   │ Demand + operating leverage remain strong    │
│ Stability       │  70   │ Strong execution, non-zero cyclicality risk  │
│ Financial Health│  84   │ Robust balance sheet vs obligations          │
│ Upside Estimate │  64   │ Positive setup, expectations already high    │
└─────────────────┴───────┴──────────────────────────────────────────────┘

Thesis pillars:
  1. AI infrastructure spend durability
  2. CUDA ecosystem lock-in + pricing power
  3. Operating leverage on incremental revenue
  4. Balance-sheet capacity through cycle volatility

Kill criteria: hyperscaler capex pullback + export control
escalation + gross-margin break with rising capex intensity