> For the complete documentation index, see [llms.txt](https://arbydex.gitbook.io/arbydex/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://arbydex.gitbook.io/arbydex/arbydex-technology/risk-analysis.md).

# Risk Analysis

### Evaluating Execution Risk

Every decentralized market carries execution risks.

The Risk Analysis layer evaluates conditions that may affect the reliability or viability of an arbitrage transaction.

#### Risk Factors

• Market volatility\
• Liquidity conditions\
• Price movement\
• Execution uncertainty\
• Transaction conditions\
• Opportunity deterioration

The engine continuously evaluates whether the opportunity remains within acceptable conditions.

#### Risk Decision

{% code expandable="true" %}

```
Opportunity
     ↓
Risk Evaluation
     ↓
Condition Check
     ↓
Qualified
     │
     └── Not Qualified
```

{% endcode %}

If market conditions change before execution, the opportunity can be re evaluated rather than blindly executed.

This creates an important distinction between automated execution and intelligent execution.


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://arbydex.gitbook.io/arbydex/arbydex-technology/risk-analysis.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
