value-dividend-screener

Screen dividend stocks for value and growth by running Python scripts that query financial APIs for low P/E ratios, attractive yields, and consistent dividend growth. The process uses pandas to filter and analyze the resulting stock data.

Two-stage stock screening pre-filters a broad market universe using one API for basic value metrics, then applies a second API for detailed fundamental analysis. You need this when building an income portfolio requiring deep verification of dividend consistency.

Yes, you need both FINVIZ Elite and FMP API keys to screen for high-quality dividend opportunities. The Skill relies on FINVIZ for initial pre-screening and FMP for detailed financial analysis.

Yes, you can use pandas and requests to find US stocks with consistent dividend growth. The scripts fetch data from financial APIs and use pandas to evaluate revenue, EPS, and dividend growth metrics.

The best way to identify value stocks with low P/E and P/B ratios is using a two-stage API screening approach. This method pre-filters broad market data and then applies detailed fundamental queries to isolate high-quality opportunities.

Dividend yield screening returns low-quality stocks when it ignores value characteristics and growth consistency. Filter for low P/E and P/B ratios alongside consistent revenue and EPS growth to ensure fundamental strength.