Screen A-share stocks by natural-language criteria using the TDX screener.
npx skills add https://github.com/crimes342/skills --skill a-crimes342
Please help me install this Agent Skill. Skill: 问小达选A股 Source: https://github.com/crimes342/skills/tree/main/skills/tdxskill/tdx-wxd-a Command: npx skills add https://github.com/crimes342/skills --skill a-crimes342
It helps you quickly screen and rank A-shares based on natural-language criteria covering price/volume metrics, valuation, financials, technical patterns, and industry/theme tags.
Use the skill to answer your A-share screening request in Chinese by asking for example: “筛选一下涨幅超过5%的科技股，并按条件给我返回前10只股票（数据来源于通达信问小达）。”
High-intent search queries and answers about installing and using this skill.
Screening A-shares with natural language queries involves converting colloquial requests into standardized conditions across market, valuation, financial, and technical dimensions. The system invokes a TDX screener to fetch matching stocks and returns a structured table with key metrics like price, PE, PB, and market cap.
You can filter stocks using technical indicators alongside market metrics, valuation metrics, financial performance, and industry concepts. The screener supports multi-dimensional constraints combining price, volume, technical patterns, and capital flow to match specific criteria.
Yes, multi-dimensional filtering supports combined constraints across valuation metrics, technical patterns, financial indicators, and industry or theme tags. This allows you to apply complex screening logic, such as filtering tech stocks by PE ratio and turnover rate simultaneously.
The A-share screener supports ranked lists by strength or size, allowing you to sort and filter stocks based on performance metrics. It returns formatted outputs with code, name, price, and change percentage, optionally enriching results with real-time quotes and K-line context.
The best way to find A-share stocks matching financial criteria is to use a natural language stock screening tool that standardizes your query and fetches results via a TDX screener. It matches stocks across financial performance, valuation, and technical patterns, returning a clean table.
When filtering A-shares by industry concepts, the screener returns a formatted table containing stock code, name, price, change percentage, turnover rate, PE, PB, and market capitalization. It also displays the final query used and optionally supplements with related news and research viewpoints.
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