> For the complete documentation index, see [llms.txt](https://docs.taurusbot.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.taurusbot.io/what-is-taurus-ai/trading-terminal.md). # Trading Terminal The Taurus AI Trading Terminal is seamlessly integrated with the Trend AI infrastructure. ## Integration with Trend AI Digests Tokens that are mentioned in Trend AI Digests are highlighted and clickable. By tapping on them the user is forwarded to the Trading Terminal and the particular token is pre-selected—no need to manually look up contract addresses of newly launched tokens which serves to diminish the time between information and action. ## Integration with Technical Analysis Tokens that have been traded through the Trading Terminal will stay activated for Technical Analysis. This means that the user receives updated directly through his communication channel if specific technical indicators are triggered by the assets that the users has previously bought or sold through the Taurus AI Trading Terminal. ## Cross-chain The Trading Terminal sources liquidity cross-chain over EVM and Solidity dexes with various routes to choose from for each trade and the most cost-efficient route already pre-selected. Next versions of the Trading Terminal will also see liquidity included from other ecosystems. ## A future-proof combination Trend AI Digests combined with Technical Analysis make for a powerful feature set that is at the tip of the user's finger to assess the potential of their investment strategy by getting the entire picture instead of just pieces of it. This feature set also lays the foundation for the transition to automated trading strategies that will be introduced in future versions. --- # 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.taurusbot.io/what-is-taurus-ai/trading-terminal.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.