> For the complete documentation index, see [llms.txt](https://help.ampfutures.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.ampfutures.com/trading-platforms/quantower/trading-panels/order-entry/algo-order-types.md). # Algo Order Types {% embed url="" %} Order Placing Strategies. New Quantower Panel for Algorithmic Order Types {% endembed %} New Panel Order Placing Strategies allows to place your orders with several predefined conditions: * Scheduled orders, can be placed at a specified time * Time Split orders can be placed via selected time interval and desired quantity sliced. ### Additional Algorithmic Order Types * AON * ICEBERG * QT * TRAIL * FUNARI * MIT "Market if Touched" > Working Local Only - On your computer. If you turn off your computer or lose internet connection, this order type will no longer be working/communicating with the exchange. * MLM * POST ONLY ![All Available Algo Order Types (Dependent on Exchange - Most working only locally on your computer)](/files/-MadiDVyX7VvWo5Ue2Gq) --- # 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://help.ampfutures.com/trading-platforms/quantower/trading-panels/order-entry/algo-order-types.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.