Filter global stocks by natural-language criteria into CSV output.
npx skills add https://github.com/xfs96192/claude-config --skill mx-select-stock-xfs96192
Please help me install this Agent Skill. Skill: mx_select_stock Source: https://github.com/xfs96192/claude-config/tree/main/skills/mx_select_stock Command: npx skills add https://github.com/xfs96192/claude-config --skill mx-select-stock-xfs96192
妙想智能选股工具基于自然语言条件筛选股票，覆盖A股/港股/美股市场，帮助用户快速从股票池中找到符合特定条件的股票，减少手动筛选与信息过时风险。
以自然语言描述你的筛选条件，例如“近三个月涨幅大于5%且市盈率低于20的半导体行业股票”来执行选股。
High-intent search queries and answers about installing and using this skill.
Stock screening with natural language lets you type plain-text conditions like "PE below 20 and ROE above 15%" to filter A-share, Hong Kong, and US stocks. The tool translates your criteria into API queries and returns full results with a CSV-friendly structure.
You can filter stocks by market data indicators like price change, volume, PE, and PB, alongside financial metrics such as revenue, net profit, ROE, and debt ratio. This applies to A-share, Hong Kong, and US markets for comprehensive portfolio analysis.
This stock screening tool supports A-share, Hong Kong, and US-listed stocks for filtering, ranking, and component inquiries. You can query stocks across these global markets using natural language conditions.
Finding index constituent stocks or sector stocks is done by describing the target index or industry in natural language. The tool queries the specified sector or index components and returns the full list of matching stocks.
CSV output is directly generated from your natural-language stock screening results. The tool handles API pagination automatically and structures the full dataset into a CSV-friendly format for immediate use.
Natural-language stock screening relies on translating your text criteria into API calls, so highly ambiguous or unsupported queries may not return accurate results. Screening is currently limited to A-share, Hong Kong, and US-listed stocks.
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