# Custom Alert

AABot not only provides original alerts (introduced in [Alert Channel](https://aabot.gitbook.io/aabot/token-alerts/alert-channel)) but also allows users to set custom filtering criteria to create personalized alerts.

1. Create your own Telegram group. 
2. Add [AlertBot](https://t.me/SOLDEV02BOT) to your Telegram group.
3. Grant the bot admin privileges. 
4. Activate the bot by entering the command **`/bind_aabot_alert`** in the group. 
5. After successful activation, go to [AlertBot](https://t.me/SOLDEV02BOT) and enter **`/admin`** to view the list of bound groups. 
6. Select the group, then click the "**Create New Signal**" button. 
7. Follow the image instructions below to set up custom alerts.

<figure><img src="https://2914259829-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYSjg6B2bNeOtRDW8DAr6%2Fuploads%2F8EAqCC2HGKNhilhevBUA%2Fimage.png?alt=media&#x26;token=748d8a23-233a-45fb-8367-7b2b8c736bd2" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
**Note**

In the filtering criteria settings, when you see prompts like \[0,100] or \[-100,+∞], you can directly input a number within the given range, which will be automatically recognized as a percentage. For example, entering 50 means 50%, and entering -30 means -30%.
{% endhint %}

## Custom Alert Showcase

Following the steps above, you can create custom alert channels like this. Enjoy it!

<figure><img src="https://2914259829-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYSjg6B2bNeOtRDW8DAr6%2Fuploads%2FbR1UgBoFxzGQd2OsfHxI%2Fimage.png?alt=media&#x26;token=a3ef1180-8314-481a-bf36-3d8a425d8a6f" alt=""><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://aabot.gitbook.io/aabot/token-alerts/custom-alert.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.