A股多智能体投研-15 AI 分析师v0.6.2

Users request analysis of specific A-share or US stocks, such as '帮我分析一下贵州茅台' or '分析一下 600519 的技术面'. The skill leverages 15 AI analysts across five stages to provide structured investment recommendations covering technicals, fundamentals, sentiment, and capital flows. It is ideal for investors seeking comprehensive, multi-dimensional insights before making trading decisions.

Investors use the skill to evaluate whether to buy, hold, or sell a stock, as in '宁德时代值得买入吗'. The analysis includes a bull/bear debate, risk assessment, and actionable trade decisions with target and stop-loss prices. This helps users make informed choices based on AI-driven research rather than relying solely on personal judgment.

Traders and portfolio managers utilize the skill for after-hours analysis to review holdings, assess risks like valuation or capital outflows, and identify key metrics such as PE or ROE. It supports scenarios like '比亚迪最近资金流向怎么样' to understand market sentiment and smart money movements for portfolio adjustments.

Students, analysts, or hobbyists employ the skill to learn about stock analysis methodologies, including multi-agent collaboration and game theory applications. By requesting analyses on various stocks, they gain insights into how different factors—like macro trends or sentiment—impact investment outcomes, enhancing their financial literacy.

The skill operates via a backend API that requires a token (TRADINGAGENTS_TOKEN) for access. Revenue is generated through subscription plans on the platform (app.510168.xyz), where users pay for API usage tiers based on analysis frequency or features. This model targets individual investors and institutions needing regular, in-depth stock research.

For users requiring full data control, the skill offers self-hosting options via its open-source repository. Revenue comes from licensing fees or support services for enterprises that deploy the backend internally. This model appeals to financial firms with strict privacy policies or those integrating the tool into proprietary systems.

The skill may provide basic analysis for free with limited requests or delayed results, while premium features—such as faster processing, advanced risk metrics, or historical data—are gated behind paid subscriptions. This model attracts casual users initially and converts them to paying customers as their needs grow.