MX Stock Pickv1.0.5

Retail investors can use natural language queries to quickly filter stocks, ETFs, and funds across A-share, Hong Kong, and US markets based on criteria like price, market cap, or technical signals. This enables efficient discovery of investment opportunities without needing complex financial databases or coding skills, ideal for personal portfolio research and monitoring.

Financial advisors can leverage the skill to build diversified portfolios by screening assets globally using fundamental, technical, and sentiment indicators. It supports composite conditions and returns CSV files with Chinese column names, facilitating analysis and client reporting for tailored investment strategies across different asset classes.

Quantitative analysts can use the skill to screen historical data based on multi-dimensional filters like news sentiment or technical signals, enabling backtesting of trading strategies. The output includes detailed data descriptions and CSV files, which can be integrated into Python workflows for further statistical analysis and model validation.

Institutional investors can monitor specific sectors or concepts, such as technology or renewable energy, by filtering constituent stocks and ETFs across global markets. The skill supports advanced A-share queries like dragon-tiger board data or executive information, aiding in market trend analysis and investment decision-making for large-scale funds.

The skill relies on the East Money MX Claw API, which likely operates on a subscription model where users pay for API key access based on usage tiers or data limits. Revenue is generated through monthly or annual fees from individual investors, financial firms, and developers integrating the service into their applications.

East Money may offer a free tier with basic screening capabilities and limited queries, while premium tiers provide advanced filters, higher data volumes, and additional features like real-time updates or historical data access. This model attracts a broad user base and upsells to professionals needing more comprehensive tools.

Financial institutions such as banks, hedge funds, or advisory firms can license the skill for internal use, with custom pricing based on the number of users, data access levels, and integration support. Revenue comes from one-time setup fees or ongoing enterprise agreements, targeting organizations requiring robust, scalable asset screening solutions.