> For the complete documentation index, see [llms.txt](https://gameland-1.gitbook.io/galeon/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gameland-1.gitbook.io/galeon/galeon-is-an-autonomous-multi-agent-ai-system-that-turns-web3-trading-from-manual-decision-making-in.md). # Galeon is an autonomous multi-agent AI system that turns Web3 trading from manual decision-making in ### **Vision** To become the intelligent trading infrastructure of the Web3 world — enabling every ordinary user to access the same level of information discovery and trade execution capability as institutions and smart money, eliminating the information and execution gap between retail and professional traders. ### Mission Through an AI multi-agent collaborative system, we fully automate on-chain data analysis, risk assessment, and trade execution — so users can participate in crypto trading safely and efficiently without 24/7 monitoring, professional expertise, or manual operation. Our mission is to: * **Make discovery effortless** — AI automatically scans multiple chains and data sources to surface valuable trading opportunities for users * **Make safety the default** — Every trade must pass risk controls and security verification before execution, protecting user assets * **Make execution instant** — From signal to on-chain settlement, fully automated with zero human delay * **Make professional-grade tools accessible to all** — Institutional-level risk management (dynamic stop-loss, laddered take-profit, circuit breakers) delivered in the simplest possible way to every user --- # 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://gameland-1.gitbook.io/galeon/galeon-is-an-autonomous-multi-agent-ai-system-that-turns-web3-trading-from-manual-decision-making-in.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.