stock-multi-factor-filter

To screen A-share stocks with multi-factor logic, you can combine price and volume behavior, technical indicators, valuation, and capital flow constraints into a single natural-language query to retrieve a structured ranked list of matching candidates.

Yes, filtering A-share stocks by industry concepts and capital flow simultaneously is supported. You can specify exposure to specific sectors alongside capital flow constraints to narrow down candidates with key metrics like code, name, and change percent.

Multi-factor stock screening translates complex natural-language conditions across technical, valuation, and financial health dimensions into combined filter logic, needed when manual combination of行情, technical, and capital flow criteria becomes too inefficient.

Multi-factor stock screening works with valuation metrics like PE and ROE for A-shares by extracting filter criteria from your query and applying tool-backed execution to output matching stocks with core metrics and a brief investment logic commentary.

The best way to find semiconductor stocks with low PE and high ROE is querying with natural-language multi-factor conditions, which returns a table-style top N result containing stock codes, prices, and core metrics for decision-making.

Limitations of natural-language stock screening include the requirement for correct extraction of filter criteria from the user query to ensure accurate tool-backed execution, as ambiguous conditions may lead to imprecise matching results.