> For the complete documentation index, see [llms.txt](https://mortgagefi-docs.gitbook.io/mortgagefi-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mortgagefi-docs.gitbook.io/mortgagefi-documentation/mortgagefi-ecosystem/self-balancing-protocol.md).

# Self-Balancing Protocol

MortgageFi operates as a unique, interconnected ecosystem where three key participants – Earn depositors, Borrowers, and ERC20 sellers – work together to create a balanced and efficient market without relying on external oracles.\* This self-balancing mechanism ensures stability, resilience against market volatility, and attractive opportunities for all participants.\
\
\*Oracles are only used for the Financing product to ensure their Mortgages and Earn positions are based on the current market value at the time they finance. This does not affect the internal pricing of mortgageable assets.


---

# 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://mortgagefi-docs.gitbook.io/mortgagefi-documentation/mortgagefi-ecosystem/self-balancing-protocol.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.
