stock-analyzer

To generate a comprehensive stock analysis report, you input a ticker symbol and the skill fetches financial data using yfinance to produce a professional PDF. It evaluates fundamental metrics and technical indicators, outputting a detailed document for investment research.

Yes, you can export stock analysis data to an Excel model. The skill utilizes openpyxl to generate an optional Excel model alongside the primary PDF report, allowing for further custom manipulation of financial metrics and technical indicator data.

You only need to provide the stock ticker symbol for fundamental analysis. The skill automatically fetches required financial data, valuations, and quality assessments using the yfinance library, requiring no manual data entry or historical price downloads.

Yes, the stock analysis tool works with pandas and matplotlib for data visualization. It uses pandas for data manipulation and matplotlib to render price trends and volume charts, which are then embedded directly into the generated PDF research report.

Automating investment research for multiple tickers involves running the skill with individual ticker symbols like 'AAPL' to fetch data via yfinance. It independently calculates financial metrics and technical indicators for each symbol, generating separate PDF reports and optional Excel models.

A limitation of using yfinance for technical analysis is reliance on the availability of public market data feeds. If yfinance cannot retrieve specific fundamental metrics or historical prices for a ticker, the generated PDF report will lack those specific technical indicators.