fundamental-analysis

This Skill automates fundamental analysis of financial statements by using Python libraries like pandas, numpy, and yfinance to retrieve data, process income statements, balance sheets, and cash flows, and calculate financial health metrics.

For investment analysis with yfinance data, this Skill supports applying various valuation methods including discounted cash flow (DCF), relative valuation, and dividend analysis to determine a company's investment potential.

You can perform peer comparison for corporate finance valuation in Python by using this Skill to compare a company's financial metrics and valuation multiples against its industry peers to assess relative quality and valuation.

Yes, you need pandas and numpy installed to run financial modeling and DCF analysis, as this Skill relies on these Python libraries for data manipulation, numerical calculations, and retrieving financial data via yfinance.

The best way to analyze a company's financial health for investment decisions is to automate fundamental analysis using this Skill, which evaluates financial statements, applies valuation methods, and compares peers to provide comprehensive insights.