Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# US Stock Analysis
## Overview
Perform comprehensive analysis of US stocks covering fundamental analysis (financials, business quality, valuation), technical analysis (indicators, trends, patterns), peer comparisons, and generate detailed investment reports. Fetch real-time market data via web search tools and apply structured analytical frameworks.
## Data Sources
Always use web search tools to gather current market data:
**Primary Data to Fetch:**
1. **Current stock price and trading data** (price, volume, 52-week range)
2. **Financial statements** (income statement, balance sheet, cash flow)
3. **Key metrics** (P/E, EPS, revenue, margins, debt ratios)
4. **Analyst ratings and price targets**
5. **Recent news and developments**
6. **Peer/competitor data** (for comparisons)
7. **Technical data** (moving averages, RSI, MACD when available)
**Search Strategy:**
- Use ticker symbol + specific data needed (e.g., "AAPL financial metrics 2024")
- For comprehensive data: Search for earnings reports, investor presentations, or SEC filings
- For technical data: Search for "AAPL technical analysis" or use financial data sites
…
The line at the top of this page pins the label git:20260118.be84779, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (9857 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
nicepkg/ai-workflow · 288 stars · license MIT · pushed 2026-01-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7w2pnd723uick7mx
GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/us-stock-analysis
GET https://markdownregistry.com/api/v1/blob/4de04c619b187c52edb86bd82f1c5e157875f4add29ec3984931b548c903278b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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