Financial Data Analyzer Lite
Free stock analysis skill — pull live data via yfinance, analyze any ticker with valuation metrics, financial health, and analyst consensus.
Best use case
Financial Data Analyzer Lite is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Free stock analysis skill — pull live data via yfinance, analyze any ticker with valuation metrics, financial health, and analyst consensus.
Teams using Financial Data Analyzer Lite should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/financial-analyzer-lite/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Financial Data Analyzer Lite Compares
| Feature / Agent | Financial Data Analyzer Lite | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Free stock analysis skill — pull live data via yfinance, analyze any ticker with valuation metrics, financial health, and analyst consensus.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Financial Data Analyzer Lite Analyze any stock ticker with live financial data. Pull real-time prices, valuation metrics, and financial health indicators using yfinance (no API key needed). > **Want the full version?** [Financial Data Analyzer (Full)](https://apexstack.gumroad.com/l/financial-analyzer) includes: multi-stock comparison, custom scoring models, export to CSV/JSON, sector analysis, and dividend screening. ## How to Use 1. Tell me a stock ticker (e.g., AAPL, TSLA, MSFT) 2. I pull live data via yfinance 3. You get: current price, P/E ratio, market cap, dividend yield, 52-week range, analyst consensus ## What You Get - **Price Summary**: Current price, day change, 52-week high/low - **Valuation Metrics**: P/E, P/B, PEG ratio, EV/EBITDA - **Financial Health**: Debt/Equity, Current Ratio, ROE - **Analyst Consensus**: Buy/Hold/Sell ratings, price target ## Requirements - Python 3.8+ - yfinance library (`pip install yfinance`) - No API key needed — uses Yahoo Finance public data ## Limitations (Lite Version) - Single ticker analysis only - No comparison mode - No custom scoring - No export functionality - Basic output format --- *Built by [Apex Stack](https://apexstack.gumroad.com) — tools for developers who ship.*
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