# About Quopi AI

{% file src="<https://3591417167-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpcD5Id72VXo1wj9lEKNU%2Fuploads%2FkcOBvAX0pnhwXRsB8Pf4%2FQuopi_Presentation_Q2_2023.pdf?alt=media&token=09a4c94a-c6d1-4554-8580-c14ac03dc4b5>" %}

Quopi AI trading bot was developed by collecting and preprocessing financial data, including news articles, historical stock prices and educational content on GPT. This data was used to train the GPT model, which was then used to develop trading rules and strategies based on the insights gained from the data.&#x20;

After multiple iterations, and backtesting of the trading bot on historical trading data, the Quopi AI trader was released live on January 4th, 2023. Since it's unveiling, the trading bot has performed with a high success rate, and never closed a single day of trading without a net profit.&#x20;

<figure><img src="https://3591417167-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpcD5Id72VXo1wj9lEKNU%2Fuploads%2F0Jb3F398BAhi7Q4Kzo7r%2Fat_a_glance.jpg?alt=media&#x26;token=049c2188-d61e-466b-8ecf-593b7103ea32" alt=""><figcaption><p>Quopi AI at a glance: date of data collection - 16.06.2023</p></figcaption></figure>

{% file src="<https://3591417167-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpcD5Id72VXo1wj9lEKNU%2Fuploads%2FFVt9VZv4mVs04mF2PcIp%2FWHITEPAPER_QUOPI.pdf?alt=media&token=5c4f7a10-a063-418b-a1f7-9282aa8a55ac>" %}
Read about the development of Quopi AI in our Whitepaper
{% endfile %}

Quopi AI started as a proof of concept, and at this point has grown to a promising trading tool accessible to any interested user, with or without prior trading background. We have harnessed the power of Artificial Intelligence to create a cutting-edge trading solution, which is available to anyone interested through the Quopi web application and the Quopi AI app for Android users. iOS app TBA.&#x20;


---

# 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://quopi-ai.gitbook.io/resources/about-quopi-ai.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.