> For the complete documentation index, see [llms.txt](https://aigo-1.gitbook.io/aigo/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aigo-1.gitbook.io/aigo/introduction.md). # Introduction Cryptocurrency markets are volatile and unpredictable, making it essential for traders to have access to accurate and timely information. Traditional trading tools often lack the intelligence to forecast future market conditions effectively. Aigo seeks to fill this gap by providing an advanced AI-powered assistant that empowers users with data-driven insights, automated trading capabilities, and predictive analytics. Aigo's functionality goes beyond just trading assistance; it creates an ecosystem where users are rewarded for participating in the platform, particularly those who hold Aigo tokens. By integrating AI technology with a blockchain-based revenue-sharing model, Aigo provides both utility and passive income opportunities. --- # 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://aigo-1.gitbook.io/aigo/introduction.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.