# Portfolio Allocation

Portfolio allocation refers to how your investments are distributed across different assets in your portfolio. In **AssetDash**, portfolio allocation allows you to see what percentage of your total portfolio is invested in different asset classes such as **stocks**, **cryptocurrencies**, **NFT**, or **Defi**. This helps you understand your investment strategy, the balance of risk and reward, and allows you to make informed decisions about future investments.<br>

#### **How to View Portfolio Allocation in AssetDash?**

1. **Navigate to the Portfolio Page**:
   * From the main dashboard, go to the **portfolio page** where all your assets are listed.
2. **View Allocation Details**:
   * On the portfolio page, look for the **allocation chart**. This appear as a pie chart displaying the percentage of your portfolio allocated to each asset class (e.g., stocks, crypto, NFT, etc.).
3. **Click on Asset Categories**:
   * Tap on the individual sections to view detailed breakdowns. For example, clicking on the cryptocurrency section will show the respective assets (Bitcoin, Ethereum, etc.) and their value in the portfolio, along with the **performance chart** for that specific category, allowing you to track the historical performance and trends of each category of assets.

     <figure><img src="https://1431961134-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fj0gYBjbElMVlpNP74J2T%2Fuploads%2Fu7uTQytdO607jeaedpGD%2Fimage.png?alt=media&#x26;token=77242f04-0e2f-4d43-9b44-1d5b258e8e1f" alt="" width="185"><figcaption></figcaption></figure>


---

# 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://assetdash.gitbook.io/assetdash-basics/getting-started/portfolio-tracking/portfolio-allocation.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.
