# Volume Boost

### **What are Volume Boost Bots?**

Volume Boost Bots are simplified trading tools designed to automate liquidity provision and generate trading volume within a chosen price range. They are ideal for both beginners and experienced traders, providing an easy way to stay active in the market and earn rewards.

With an intuitive setup process, Volume Boost Bots:

* Automatically optimize grid and trailing boundary settings.
* Focus on maximizing trading volume.
* Include built-in stop-loss and take-profit mechanisms to manage risk.

### **How to Set Up Your Volume Boost Bot**

**1. Select Your Trading Pair**

* Choose a trading pair from the dropdown menu.
* Certain markets offer extra incentives for providing liquidity, so be sure to review eligible markets.

**2. Choose Your Strategy**

Select a volatility strategy based on your risk tolerance:

* **Passive**: Conservative approach with a wider price range and fewer trades.
* **Moderate**: Balanced approach with a medium price range and trading frequency.
* **Aggressive**: High-frequency trading with a tight price range.

**3. Set Your Deposit**

* **Minimum deposit:** $50 worth of base and quote assets combined.

**4. Launch Your Bot**

* The bot will automatically optimize grid settings and begin trading within your selected parameters.
* Automatic stop-loss and take-profit levels are set based on the strategy:
  * **Passive**: 1%
  * **Moderate**: 5%
  * **Aggressive**: 10%

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

* The bot will continue trading within your specified range until you stop it.
* Trading volume generated in liquidity-providing (LP) markets may count toward rewards eligibility.
  {% endhint %}


---

# 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://docs.helixapp.com/trading-bots/volume-boost.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.