# PROVIDE LIQUIDITY

- [Why Provide Liquidity?](https://docs.tensor.trade/provide-liquidity/why-provide-liquidity.md): Providing liquidity is cool and stuff - but why should you bother?
- [How to Provide Liquidity](https://docs.tensor.trade/provide-liquidity/how-to-provide-liquidity.md): Earn trading fees & LP rewards by providing liquidity and creating markets for your favorite NFT collections on TensorSwap.
- [Market-Making Example](https://docs.tensor.trade/provide-liquidity/market-making-example.md): You've heard you can make some juicy %APY on TensorSwap by market-making. But what does it mean and how does it work?
- [What APY can you expect?](https://docs.tensor.trade/provide-liquidity/what-apy-can-you-expect.md)
- [What are the Risks?](https://docs.tensor.trade/provide-liquidity/what-are-the-risks.md): Nothing in life comes for free - and definitely, nothing in crypto does. If you're planning to put money into TensorSwap you should understand the risks involved.
- [Setting up your Market-Making Order](https://docs.tensor.trade/provide-liquidity/setting-up-your-market-making-order.md): It might seem scary to setup your first MM order, but it's really not that complicated. Read along.
- [Advanced Concepts](https://docs.tensor.trade/provide-liquidity/advanced-concepts.md): We cover some of the more advanced nuances of TensorSwap and what you should be aware of if you're a market-maker.
- [Bonding Curves](https://docs.tensor.trade/provide-liquidity/advanced-concepts/bonding-curves.md)
- [Impermanent Loss](https://docs.tensor.trade/provide-liquidity/advanced-concepts/impermanent-loss.md): Impermanent loss (IL) sounds scary, but it's quite simple once you see an example.


---

# Agent Instructions: 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:

```
GET https://docs.tensor.trade/provide-liquidity.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.