# OptimaShort

## Introduction

OptimaShort is one prime example of the versatility and robustness of the AlphaNet core infrastructure platform. Custom-tailored for optimal performance in bearish market conditions, and built and extended upon the robust foundation of ViperAI, OptimaShort has undergone core technology updates, rigorous backtesting and parameter optimization to optimally detect and capitalize upon sharp market downturns.

## OptimaShort Usage guide

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Enter positions based on long or short signals and exit upon receiving close signals. There are two primary mechanisms for exiting:

* The model generates a close signal when an opposite signal strengthens significantly.
* A 2% stop loss is triggered for BTC and ETH pairs.

The first condition met will trigger the exit. Notifications of a "Close" will be promptly sent through the AlphaNet Chart System or via Telegram, ensuring you are always informed of your position status.


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# 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://alphanet-doc.phoenix.global/optimashort.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.