问小达选ETF

To filter ETFs using natural language, this Skill converts your spoken criteria into standardized queries against TDX WenDa screening data. It parses conditions like price changes, scale, and tracking index to return a matching ETF list.

The structured tabular output includes ETF code, name, price, price change percentage, scale, tracking index, and fee rate. Data is sourced mandatorily from the TDX tdx_screener to ensure standardized results.

Yes, you can combine multiple conditions for ETF screening across market data, scale, tracking index, and fees. The Skill supports multi-condition combinations and theme or style categorization to refine your results.

The ETF screener supports optional enrichment via quotes, kline, and news data when deeper context is requested. This builds upon the mandatory TDX tdx_screener data source to provide broader market context.

The best way to find index tracker ETFs by theme or style is to input your target categories as natural-language criteria. The Skill categorizes and ranks matching ETFs, outputting a structured list with tracking index and fee details.

To get a ranked ETF list based on turnover rate ranges, input your requested range as a natural-language query. The Skill applies ranking and range filtering against TDX data to output the matching ETFs.