# Stage Sell

The Stage Sell strategy involves setting multiple Take Profit (TP) levels at incremental price points above the current market price, with a corresponding percentage of the total holdings to be sold at each level. The goal is to capture profit at various stages as the price rises, while maintaining exposure to potential additional gains as long as the price continues to move upward. Additionally, a Stop Loss (SL) is set to protect the position from significant losses if the price declines.

#### How It Works:

**Take Profit (TP) Levels:**

* **TP1:** +5% – Sell 20% 
* **TP2:** +10%  – Sell 20% 
* **TP3:** +15%  – Sell 20%
* **TP4:** +20%  – Sell 20% 
* **TP5:** +25%  – Sell 20%

**Stop Loss (SL):** -10% 

* **Initial purchase:**
  * you buy the token when the market cap is 100k with total holding 1000 tokens
* Take Profit mechanism:
  * **TP1:** +5% (market cap 105k) – Sell 20% (200 tokens)
  * **TP2:** +10% (market cap  110k) – Sell 20% (200 tokens)
  * **TP3:** +15% (market cap 115k) – Sell 20% (200 tokens)
  * **TP4:** +20% (market cap 120k) – Sell 20% (200 tokens)
  * **TP5:** +25% (market cap 125k) – Sell 20% (200 tokens)
* Stop Loss mechanism:
  * If the market cap drops to 90k or lower (10% loss), the **Stop Loss** triggers and automatically sells all remaining tokens to limit further losses.

{% hint style="info" %}
Disclaimer: If you update the strategy from one stage sell preset to another, your take-profit point will revert to TP 1. Please keep in mind that making this change is at your own risk. It is important to consider the potential impact on your positions and overall strategy before proceeding.
{% 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://whitepaper.avaxbattle.io/axbt-degcom/features/advanced-order/stage-sell.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.