Eastmoney Select Stock 1.0.2v1.0.0

This scenario involves using natural language queries to filter stocks based on specific criteria such as market indicators (e.g., price changes) and financial metrics (e.g., P/E ratios). It is ideal for investors or analysts looking to identify stocks that meet custom conditions, like 'stocks with over 2% gain today' or 'low P/E banking stocks', streamlining the research process.

This scenario focuses on retrieving constituent stocks within specific sectors, industries, or indices, such as semiconductor or renewable energy companies. It supports tasks like listing components of market indices (e.g., CSI 300) or analyzing industry trends, aiding portfolio diversification and sector-specific investment strategies.

This scenario enables the generation of stock recommendations based on criteria like undervaluation, high dividends, or recent capital inflows. It helps users discover potential investment opportunities by automating the screening of large datasets, reducing manual effort in identifying promising stocks.

This scenario involves filtering stocks by market type, such as A-shares, Hong Kong stocks, U.S. stocks, or specific categories like Hong Kong Connect or U.S.-listed Chinese stocks. It caters to investors targeting particular markets or regulatory frameworks, facilitating cross-border investment analysis.

This model monetizes access to the skill's API for stock screening and data retrieval, charging based on usage tiers or subscription plans. It targets fintech platforms and developers integrating stock analysis tools, generating revenue through API calls and data access fees.

This model leverages the skill's data outputs to provide advanced analytics, insights, and reporting services for financial institutions and individual investors. Revenue is generated through premium features, customized reports, and integration with broader investment analysis software.

This model offers basic stock screening functionality for free to attract users, with advanced features like larger data exports, historical analysis, or real-time alerts available under paid plans. It drives user adoption and monetization through upselling to premium tiers.