mx-mx-stocks-screener基于东方财富数据库,支持通过自然语言输入筛选A港美股、基金、债券等多种资产,支持多元指标筛选,含技术面、消息面、基本面及市场情绪等,可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。Natural language screener for investment...
Install via ClawdBot CLI:
clawdbot install akiry09/mx-mx-stocks-screenerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://ai.eastmoney.com/mxClaw`)签发,用于其接口鉴权。Audited Apr 18, 2026 · audit v1.0
Generated Aug 8, 2026
Investment analysts and portfolio managers can use the skill to quickly screen stocks, ETFs, bonds, and funds across A-shares, Hong Kong, and US markets with natural language queries. This enables real-time cross-market monitoring and identification of investment opportunities based on technical, fundamental, and sentiment indicators.
Individual investors can leverage the screener to build or adjust their portfolios by filtering assets based on price, market cap, P/E ratio, and industry themes. The skill's ability to handle complex conditions (e.g., AND/OR/NOT) supports personalized investment strategies without requiring programming skills.
Quant researchers and data analysts can use the screener to generate historical asset lists based on specific criteria, which can then be used for backtesting trading strategies. The CSV output allows seamless integration with backtesting frameworks for performance analysis.
Financial analysts focusing on Chinese A-shares can benefit from the advanced queries for executive info, shareholder structure, dragon-tiger list data, dividends, M&A, and broker-recommended stocks. This facilitates deeper due diligence and investment research without manually traversing multiple data sources.
A fintech platform could integrate this skill to offer premium screening capabilities to subscribers. Users pay a recurring fee for access to real-time data, advanced queries, and generated reports, making it a SaaS model.
The skill could be packaged as an API service that supplies pre-filtered asset data and CSV outputs to investment firms, hedge funds, or data vendors. These clients integrate the data into their own systems for decision support.
Wealth management advisors can utilize the screener to generate personalized investment suggestions and portfolio recommendations for clients, offering a value-added service. This could be bundled into wealth management fees or separate advisory charges.
💬 Integration Tip
Install the required Python dependencies (e.g., httpx) and set the EM_API_KEY environment variable before using the skill. The output CSV files can be easily loaded into pandas or Excel for further analysis.
Scored Aug 8, 2026
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