> For the complete documentation index, see [llms.txt](https://docs.deso.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.deso.org/openfund/algorithmic-trading.md). # Algorithmic Trading The Openfund platform is essentially a frontend client over the DeSo DEX, which powers its order-book functionality. As such, placing and managing orders on Openfund amounts to constructing and submitting transactions to the DeSo blockchain, which can be done totally permission-lessly, just like submitting a transaction to the Bitcoin network. In this section, we go over how to construct and submit transactions, and walk through the creation of a simple market-making bot. Read the next section to learn how to start algorithmic trading with the DeSo Python SDK. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.deso.org/openfund/algorithmic-trading.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.