fundamental-filter

You can screen stocks by financial metrics by applying threshold-based filters to fundamental data. This skill filters stock universes using PE, PB, and ROE ratios to generate quantitative investment signals for value and growth opportunities.

Yes, you can filter US and HK stocks by fundamental analysis criteria using yfinance. The skill supports multi-market screening, allowing you to extract financial statements and apply custom thresholds for backtesting or portfolio construction.

The best way to screen A-share stocks using Tushare is to apply point-in-time financial statement validation. This skill applies quantitative thresholds to Tushare data to filter stocks based on fundamental metrics like PE and ROE ratios.

Yes, stock screening with pandas and numpy supports point-in-time financial statement validation. This prevents lookahead bias by ensuring threshold-based signal generation only uses historical data available at the specific screening date.

Generate a list of low-PE value stocks by setting custom financial metric thresholds. Use this skill to filter a stock universe for companies with a PE ratio under 20 and an ROE above 8 percent to identify value opportunities.