> For the complete documentation index, see [llms.txt](https://docs.pangolin.exchange/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pangolin.exchange/pangolin-overview/introduction-to-pangolin/pangolin-v3/in-range-farming.md). # In-Range Farming Pangolin V3 introduces a powerful new mechanism called **In-Range Farming**, designed to enhance yield opportunities for liquidity providers. This system rewards LPs who maintain their liquidity positions **within specific target price ranges**. The tighter and more concentrated the liquidity around the target price, and the longer it remains within that range, the greater the potential rewards.\ \ This approach ensures that the most useful liquidity—liquidity positioned where trading is actively happening—is incentivized. If a position moves out of range due to price shifts, reward accrual is paused until the position returns to the incentivized zone. This encourages LPs to monitor and manage their positions more actively, creating a more efficient and responsive liquidity environment on Pangolin V3. --- # 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.pangolin.exchange/pangolin-overview/introduction-to-pangolin/pangolin-v3/in-range-farming.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.