> For the complete documentation index, see [llms.txt](https://docs.stablejack.xyz/stablejack/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.stablejack.xyz/stablejack/product-overview/skills/ai-asset-analysis.md). # AI Asset Analysis StableJack can be used to analyze supported assets such as stocks, crypto assets, forex pairs, commodities, indices, and other markets. When a user wants to understand an asset, **StableJack can generate an AI-powered analysis that explains the current market context, potential thesis, bull case, bear case, relevant risks, sentiment, positioning, and possible trade structure.** This is useful when users want to quickly understand what is happening with an asset before deciding whether it deserves deeper research. This use case is valuable because most investors do not have enough time to manually review every important signal across every market. StableJack helps users move from scattered information to structured market intelligence. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.stablejack.xyz/stablejack/product-overview/skills/ai-asset-analysis.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.