# Volume Alert Bot (ETH, Base)

## Channel Links:

ETH Volume Alerts -> [HERE](https://t.me/ZenithVolumeAlerts)

Base Volume Alerts -> [HERE](https://t.me/ZenithBaseVolumeAlerts)

## Overview:

Zenith Volume Alert Bot is a Telegram channel that automatically notifies users when a token receives a high amount of volume.

Criteria to trigger ETH Volume Alerts:

* Under 1M MC (initial call)
* 10 ETH of volume in the last 5 minutes
* Not a honeypot (Zenith Volume Alert Bot automatically disqualifies tokens that are deemed a honeypot)

Criteria to trigger Base Volume Alerts:

* Under 1M MC (initial call)
* 3 ETH of volume in the last 5 minutes
* Not a honeypot (Zenith Volume Alert Bot automatically disqualifies tokens that are deemed a honeypot)

Perfect toolset for traders who want to keep an eye on small-cap projects and get live signals on influxes of volume.

***

## <mark style="color:green;">The below section will outline some of the signals the Volume Bot has generated, and the potential gains.</mark>

## Example 1: 9x gain

<div align="center"><figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FVI4uvHPf8H9p9bhQIKac%2FVBA%201%20Before.png?alt=media&#x26;token=b04ace33-54d7-4ddf-a265-6079fe0730e1" alt=""><figcaption><p>Before</p></figcaption></figure></div>

<div align="center"><figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FvVwHcG45mgg6KT82obz4%2FVBA%201%20After.png?alt=media&#x26;token=2880b12f-497f-4711-9a1c-647cd231a2d6" alt=""><figcaption><p>After</p></figcaption></figure></div>

## Example 2: 6x gain

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FvlbDTupz9OkFPbOtcyv1%2FVBA%202%20Before.png?alt=media&#x26;token=f5c3f68b-2cdf-48b7-88d6-c1b3c29a4b8b" alt=""><figcaption><p>Before</p></figcaption></figure>

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2Fr1d8e8p4GXokC8DrUmw4%2FVBA%202%20After.png?alt=media&#x26;token=bf4ef526-3713-499a-b2ba-687ebda7a9d4" alt=""><figcaption><p>After</p></figcaption></figure>

## Example 3: 6x gain

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FHVZDFana3g6NopoCXSCR%2FVBA%203%20Before.png?alt=media&#x26;token=1112a5c4-2d07-4c5c-899a-aa1f7feb779d" alt=""><figcaption><p>Before</p></figcaption></figure>

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FVDtFqN2coXaWl31Y3pYV%2FVBA%203%20After.png?alt=media&#x26;token=8c8d1bd1-0273-43d7-935b-ad1ef2d3ab6e" alt=""><figcaption><p>After</p></figcaption></figure>

## Example 4: 7.5x gain

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2Fhpo2AIYZvF6m5rz3AeY5%2FVBA%204%20Before.png?alt=media&#x26;token=1b43bcd5-a217-499d-a48d-2ae35c64a054" alt=""><figcaption><p>Before</p></figcaption></figure>

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FQlbprVISOCT7zjSweMeC%2FVBA%204%20After.png?alt=media&#x26;token=8c923e89-de39-43f4-95d1-44c506a6404c" alt=""><figcaption><p>After</p></figcaption></figure>

## Example 5: 7x gain&#x20;

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2Ftmz7N03Wk3TY6ngyML4J%2FVBA%205%20Before.png?alt=media&#x26;token=014a1c87-c716-4941-9024-e2d82dfe351e" alt=""><figcaption><p>Before</p></figcaption></figure>

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FUyGcV1JgM6uW4aPg35Tk%2FVBA%205%20After.png?alt=media&#x26;token=7faf1485-d925-406f-b98a-b49fd2971130" alt=""><figcaption><p>After</p></figcaption></figure>

## Example 6: 4x gain&#x20;

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FWZxSLuHIxFsWRlbGeFen%2FVBA%206%20Before.png?alt=media&#x26;token=86f4e50c-f56f-44b1-85bf-bf214e69c28b" alt=""><figcaption><p>Before</p></figcaption></figure>

<figure><img src="https://2416276637-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMXcvEoU6nHqO6Kuq57Rx%2Fuploads%2FOYXFooThVbaroC8l8ilU%2FVBA%206%20After.png?alt=media&#x26;token=53b9fb4f-d6fd-41b3-ba91-1448c6f6e353" alt=""><figcaption><p>After</p></figcaption></figure>

***

<mark style="color:orange;">Continue to the next section for details around the Referral System</mark>