> For the complete documentation index, see [llms.txt](https://docs.likn.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.likn.ai/likn-studio/trade.md).

# Trade

LIKN's trading system adopts an innovative dual-layer liquidity architecture, seamlessly integrating traditional token trading with the NFT market. This design not only provides users with flexible trading options but also greatly enhances the liquidity and accessibility of assets. By integrating multi-chain deployment and cross-chain interaction functions, LIKN ensures that users can conveniently conduct asset transactions across different blockchain networks.

<figure><img src="/files/SOsha4l44eT61XcxQcU5" alt=""><figcaption></figcaption></figure>

Universal Assets is compatible with both ERC-20 and NFT interoperability, and multiple launch plans provide timely liquidity, making transactions extremely smooth.

1. Purchase assets, sell or hold along our unique binding curve, sell at any time to lock in your profits or losses.
2. Purchasing 100,000 tokens automatically generates an NFT.
3. When the bonding curve reaches 100% (approximately $60,000), the seeding process begins.
4. All liquidity is then deposited into Dex Swap.
5. Users can place NFT orders directly in the market at any time, enabling dual liquidity.


---

# 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:

```
GET https://docs.likn.ai/likn-studio/trade.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.
