stock-analyzer

Analyze stocks using fundamental metrics, technical indicators, and SEC filings.

2|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/patriotnewsactivism/Casebuddy-AI-Law-Partner --skill stock-analyzer-patriotnewsactivism
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stock-analyzer
Source: https://github.com/patriotnewsactivism/Casebuddy-AI-Law-Partner/tree/main/.local/secondary_skills/stock-analyzer
Command: npx skills add https://github.com/patriotnewsactivism/Casebuddy-AI-Law-Partner --skill stock-analyzer-patriotnewsactivism

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yfinance, finvizfinance, jsPDF, matplotlib, pandas, plotly, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps users make informed investment decisions by providing in-depth analysis of stocks and companies, covering fundamental, technical, and risk aspects.

Core Features & Use Cases

  • Fundamental Analysis: Evaluate a company's financial health, valuation, and quality using metrics like P/E, FCF yield, and debt ratios.
  • Technical Analysis: Assess stock price trends, momentum, and potential trading signals using indicators like SMAs and RSI.
  • Risk Assessment: Identify potential risks through analysis of SEC filings, insider activity, and short interest.
  • Use Case: A user wants to understand if Apple (AAPL) is a good investment. This Skill can provide a comprehensive report including its financial statements, valuation compared to peers, recent insider trading activity, and technical chart analysis.

Quick Start

Analyze the stock ticker AAPL using fundamental and technical analysis.

Frequently Asked Questions about stock-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform comprehensive stock analysis combining fundamental and technical indicators?

Stock analysis combines fundamental metrics like P/E ratios and FCF yield with technical indicators like SMAs and RSI. This Skill evaluates company financials, valuation, and price momentum to generate data-driven investment research outputs.

What is the best way to assess investment risk using SEC filings and insider trading data?

Risk assessment leverages SEC EDGAR filings, insider activity, and short interest to identify potential vulnerabilities. This Skill analyzes these financial data sources to expose hidden risks and evaluate stock stability.

Can I compare company financials and valuation metrics across different stocks?

Comparing company financials and valuation metrics across stocks is supported through investment option comparison. This Skill leverages yfinance and finvizfinance data to evaluate company profiling and financial metrics side-by-side.

Does this stock analysis approach work with yfinance and finvizfinance for data extraction?

Stock analysis works directly with yfinance and finvizfinance Python libraries for data extraction. It uses these dependencies to pull financial statements, valuation metrics, and technical chart data for comprehensive evaluation.

How do I generate a visual technical analysis report using matplotlib and plotly?

Generating a visual technical analysis report uses matplotlib and plotly to chart stock price trends and momentum indicators. This Skill integrates these libraries to produce visual outputs alongside fundamental metric evaluations.