fundamental-filter

Yes, you can apply fundamental filters across A-shares, HK, and US exchanges. Multi-market screening is supported by retrieving real-time market information via yfinance for HK and US stocks.

Filter the S&P 500 for value stocks in Python by defining a strategy to automatically isolate companies meeting specific criteria, like a PE ratio under 20 and ROE above 8 percent, to generate a long-only portfolio.

Yes, you need pandas and numpy to build a custom stock screener, as these dependencies are required for manipulating financial data and applying logic to fundamental financial metrics like revenue or net income.

The best way to automate filtering stock universes by financial criteria is using quantitative data logic that evaluates fundamental metrics, eliminating the challenge of manually processing large volumes of market data.

Yes, you can use yfinance to retrieve real-time market information for fundamental analysis, specifically supporting multi-market screening for HK and US stocks during the financial filtering process.