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

# Burn Mechanism

$AMARA is designed to be deflationary over time through a structured buyback-and-burn program. Instead of relying on arbitrary burns, supply reduction is tied directly to actual protocol usage, making every burn meaningful and transparent.

**How It Works**

* A portion of protocol revenue is allocated specifically for buybacks.
* These funds are used to purchase $AMARA from the open market.
* All tokens acquired through this program are permanently sent to a burn address, removing them from circulation.

**Funding Sources for Buybacks**

* **Trading Fees**: Revenue from perpetual and spot markets.
* **Liquidation Fees**: Collected when undercollateralized positions are liquidated.
* **Funding Rate Spreads**: Surplus generated when long and short positions are imbalanced.
* **Treasury Surplus**: Excess reserves directed by governance once active.

**Execution**\
Buybacks are carried out transparently, with transactions visible on-chain. They may occur on a recurring schedule or be triggered by revenue milestones, such as hitting a certain fee threshold. This ensures flexibility while maintaining accountability.

**Impact on Supply**

* Every buyback reduces circulating supply, directly linking token scarcity to Amara’s adoption.
* Burns compound over time. As usage grows, more revenue is directed to buybacks, accelerating deflationary pressure.
* The effect is twofold: supporting token value while rewarding long-term holders through scarcity.

**Long-Term Alignment**\
By tying burns to platform revenue, Amara ensures that deflation is not arbitrary but earned. The more successful the protocol becomes, the more aggressive the burn schedule grows. This design reinforces $AMARA’s role as both a utility token and a store of value tied to the health of the ecosystem.


---

# 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.amara.exchange/tokenomics/burn-mechanism.md?ask=<question>&goal=<endgoal>
```

`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.
