stock-value-scanner

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Conduct stock anomaly scanning, value investment analysis and trend query

1installs
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NPX Install

npx skill4agent add flying3615/my-skills-writer stock-value-scanner

SKILL.md Content (Chinese)

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Stock Value Scanner Skill

Description

This is a comprehensive US stock analysis tool. It integrates Value Investment Scoring (based on metrics like P/E, ROE from Yahoo Finance), Trend Technical Analysis (historical pullback, moving average judgment), and Market Anomaly Scanning (price gain/loss rankings, popular trades). Whether you're looking for undervalued high-quality stocks or tracking hot market trends, this Skill provides data support.

Features

  • Real-time Valuation Analysis: Automatically obtain core valuation indicators such as P/B, P/E, PEG (from Yahoo Finance).
  • Stock Price Trend Analysis: View closing prices, historical high pullbacks, 52-week range and long-term moving average trends.
  • Market Anomaly Scanning: Check real-time US stock gainers, losers and actively traded stocks.
  • Quality Check: Automatically detect quality indicators like ROE, net profit margin to eliminate "junk stocks".
  • Intelligent Scoring: Generate a comprehensive score of 0-6 based on Buffett's value investment logic.

Usage

Prerequisites:
  • Must install the Python library
    yfinance
    :
    pip install yfinance
  • No API Key required.

Example Prompts

  • "Analyze the investment value of MARA"
  • "Check the recent trend of AAPL"
  • "Query how far NVDA is from its historical high"
  • "Check today's US stock gainers list"
  • "Which stocks are the most actively traded recently"

Execution

1. Value Analysis & Scoring

bash
python3 .gemini/skills/stock-value-scanner/scripts/scanner.py [SYMBOL]
Or batch scan preset list:
bash
python3 .gemini/skills/stock-value-scanner/scripts/scanner.py --scan

2. Stock Price Trend Query

bash
python3 .gemini/skills/stock-value-scanner/scripts/stock_price.py [SYMBOL]

3. Market Anomaly Query

bash
python3 .gemini/skills/stock-value-scanner/scripts/market_movers.py --type [gainers|losers|active]

Tips for the Agent

  • Scenario Differentiation:
    • When users ask about "worth buying", "fundamentals", "valuation" -> Use
      scanner.py
      .
    • When users ask about "trend", "price movement", "historical high", "pullback", "moving average" -> Use
      stock_price.py
      .
    • When users ask about "gainers list", "losers list", "popular", "anomaly", "market index" -> Use
      market_movers.py
      .
  • When encountering the error
    ImportError: No module named 'yfinance'
    , guide users to run
    pip install yfinance
    .
  • The execution result is a text report, which can be directly presented to users without excessive explanation.