Productivity

trading-analysis

gracefullight/stock-checker · updated Apr 11, 2026

$npx skills add https://github.com/gracefullight/stock-checker --skill trading-analysis
summary

Professional investment reports combining real-time market data, technical indicators, and AI-powered analysis.

  • Calculates 10+ technical indicators (RSI, MACD, Moving Averages, Bollinger Bands) and generates 4 types of high-resolution charts (price, indicators, volatility, dashboard)
  • Accepts stock ticker symbols with optional client name and custom report title; processes multiple symbols in a single request
  • Outputs institutional-grade Markdown reports with executive summary, technic
skill.md

Trading Analysis & Investment Report Generator

This skill generates comprehensive investment reports combining real-time market data, technical analysis, Claude AI insights, and professional visualizations.

What This Skill Does

  • Downloads real-time market data from Yahoo Finance
  • Calculates 10+ technical indicators (RSI, MACD, Moving Averages, Bollinger Bands, etc.)
  • Analyzes market conditions using Claude AI
  • Generates 4 types of professional charts (price, indicators, volatility, dashboard)
  • Creates institutional-grade investment reports in Markdown format
  • Exports structured data in JSON format

When to Use This Skill

Use this skill when the user requests:

  • Investment reports or analysis for specific stocks/ETFs
  • Market analysis with technical indicators
  • Trading recommendations based on current market conditions
  • Professional reports for clients or portfolio review
  • Comparative analysis across multiple symbols

Input Requirements

Required:

  • symbol: Stock ticker (e.g., SPY, AAPL, TSLA, QQQ)

Optional:

  • client_name: Name of the client/investor (default: "Institutional Investors")
  • report_title: Custom report title (auto-generated if not provided)
  • period: Historical data period (default: "6mo")

Output Files

The skill generates the following files in the reports/ directory:

  1. Markdown Report ({SYMBOL}_analysis_report_{timestamp}.md)

    • Executive summary with sentiment and recommendation
    • Market overview with price tables
    • Technical analysis with indicators
    • AI-powered market intelligence
    • Investment recommendations with entry/exit criteria
    • Risk assessment
    • Chart references
  2. JSON Data ({SYMBOL}_analysis_report_{timestamp}_data.json)

    • Structured data for programmatic access
    • All metrics and analysis results
  3. Charts (PNG format, 300 DPI):

    • {SYMBOL}_price_chart.png: Price with moving averages
    • {SYMBOL}_indicators_chart.png: RSI and MACD
    • {SYMBOL}_volatility_chart.png: Historical volatility
    • {SYMBOL}_summary_dashboard.png: Performance dashboard

Example Usage

Simple request: "Generate an investment report for SPY"

Detailed request: "Create a market analysis report for AAPL for Acme Capital with the title 'Q4 2025 AAPL Investment Strategy'"

Multiple symbols: "Generate investment reports for SPY, QQQ, and DIA"

Report Quality

  • Format: Institutional-grade, suitable for client presentations
  • Data Accuracy: Real-time market data with verified calculations
  • Visual Quality: High-resolution charts (300 DPI, print-ready)
  • AI Analysis: Claude-powered market sentiment and risk assessment
  • Completeness: Executive summary, technical analysis, recommendations, disclaimers

Technical Details

  • Data Source: Yahoo Finance API
  • AI Model: Claude 3.7 Sonnet (configurable)
  • Chart Resolution: 300 DPI (print quality)
  • Report Format: GitHub-flavored Markdown
  • Processing Time: ~15-30 seconds per symbol

Safety & Disclaimers

All reports automatically include:

  • Investment disclaimer
  • Risk warnings
  • Clarification that this is informational, not financial advice
  • Recommendation to consult qualified financial advisors

Notes

  • Requires valid Anthropic API key in .env file
  • Requires internet connection for market data
  • Historical data limited by Yahoo Finance availability
  • AI analysis is based on technical data, not fundamental analysis
general reviews

Ratings

4.560 reviews
  • Lucas Choi· Dec 20, 2024

    trading-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Pratham Ware· Dec 16, 2024

    trading-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Advait Liu· Dec 16, 2024

    Solid pick for teams standardizing on skills: trading-analysis is focused, and the summary matches what you get after install.

  • Isabella Diallo· Dec 12, 2024

    Keeps context tight: trading-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Advait White· Nov 27, 2024

    We added trading-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Maya Brown· Nov 11, 2024

    Keeps context tight: trading-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Nov 7, 2024

    I recommend trading-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Zaid Haddad· Nov 7, 2024

    trading-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Camila Srinivasan· Nov 3, 2024

    trading-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Isabella Garcia· Nov 3, 2024

    trading-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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