# Ÿ Dashboard

## Introduction

The dashboard serves as a front end for Ÿ Engine and framework, which handles backend data gathering and manipulation. It provides an easy-to-use interface for interacting with our data.

It allows users to view real-time data, analyze trends, and make informed decisions based on the latest market insights. The dashboard is designed to be intuitive and user-friendly, ensuring that even those with minimal technical knowledge can navigate & utilize its features effectively.

***

## Dashboard Tabs

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Home</strong></td><td><a href="/files/WtGo2Sc7kY0XxbrI4HsF">/files/WtGo2Sc7kY0XxbrI4HsF</a></td><td><a href="/pages/Gl0lMARuMtKenUOyHli5#home">/pages/Gl0lMARuMtKenUOyHli5#home</a></td></tr><tr><td><strong>AI Chat</strong></td><td><a href="/files/ngklBDwym4Y7xJfTdEwV">/files/ngklBDwym4Y7xJfTdEwV</a></td><td><a href="/pages/Gl0lMARuMtKenUOyHli5#ai-chat">/pages/Gl0lMARuMtKenUOyHli5#ai-chat</a></td></tr><tr><td><strong>Model</strong></td><td><a href="/files/3zTR22Kg6SyTFYStS3n8">/files/3zTR22Kg6SyTFYStS3n8</a></td><td><a href="/pages/Gl0lMARuMtKenUOyHli5#model">/pages/Gl0lMARuMtKenUOyHli5#model</a></td></tr><tr><td><strong>Signals</strong></td><td><a href="/files/kD9CXrv2duLFFVLndWoN">/files/kD9CXrv2duLFFVLndWoN</a></td><td><a href="/pages/Gl0lMARuMtKenUOyHli5#signals">/pages/Gl0lMARuMtKenUOyHli5#signals</a></td></tr><tr><td><strong>Docs</strong></td><td><a href="/files/oIKfg0cXpzsfupqUJJnG">/files/oIKfg0cXpzsfupqUJJnG</a></td><td><a href="/pages/Gl0lMARuMtKenUOyHli5#docs">/pages/Gl0lMARuMtKenUOyHli5#docs</a></td></tr></tbody></table>

***


---

# 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://whitepaper.yoracle.ai/y-solutions/y-dashboard.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.
