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Skillsstock-value-scanner

stock-value-scanner

Data & analytics

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Updated 10-15 21:43

About this skill

Stock Value Scanner Skill

Description

This is a comprehensive U.S. stock analysis tool. It integratesvalue investing scoring(based on metrics such as P/E and ROE from Yahoo Finance),trend technical analysis(historical drawdown, moving average judgment), andmarket anomaly scanning(gainers/losers lists, popular trades). Whether you are looking for undervalued quality stocks or tracking hot market trends, this Skill can provide data support.

Features

  • Real-time valuation analysis: automatically retrieves core valuation metrics such as P/B, P/E, and PEG (Yahoo Finance).
  • Stock price trend analysis: view closing price, drawdown from historical highs, 52-week range, and long-term moving average trends.
  • Market anomaly scanning: view real-time U.S. stock gainers, losers, and popular traded stocks.
  • Quality checkup: automatically detects quality metrics such as ROE and net margin, filtering out "junk stocks".
  • Smart scoring: generates a comprehensive score from 0-6 based on Buffett-style value investing logic.

Usage

Prerequisites:

  • The Python library must be installed yfinance: pip install yfinance
  • No API Key is required.

Example Prompts

  • "Analyze the investment value of MARA"
  • "Check how AAPL has been trending recently"
  • "Find out how far NVDA is from its historical high"
  • "Check today's U.S. stock gainers list"
  • "Which stocks have been traded most actively recently"

Execution

1. Value analysis & scoring

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

Or batch scan a preset list:

python3 .gemini/skills/stock-value-scanner/scripts/scanner.py --scan

2. Stock price trend query

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

3. Market anomaly query

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

Tips for the Agent

  • Scenario distinction:
    • The user asks "Is it worth buying," "fundamentals," "valuation" -> use scanner.py。
    • The user asks "trend," "movement," "historical high," "drawdown," "moving average" -> use stock_price.py。
    • The user asks "gainers list," "losers list," "popular," "anomaly," "broad market" -> use market_movers.py。
  • When encountering ImportError: No module named 'yfinance' error, please guide the user to run pip install yfinance。
  • The run result is a text report; simply display it to the user, no excessive explanation is needed.