QNNs for Stock Price Trend Prediction

Develop quantum neural network models using PyTorch to predict stock price trends based on limit order book data.

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Quantum Signals

Posted 10 days ago

Use case file

I cant seem to find the use case file to run the example notebook

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Posted by antoine • 9 days ago

Hello Matthew!

I am pleased to meet you! I am Antoine, one of Aqora's software engineers 😊

May you describe your workflow please? I am able to run the example notebook on my machine by executing these commands in a terminal:

$ aqora template quantum-signals-lob
...
🎉 Competition template downloaded to quantum-signals-lob
$ cd quantum-signals-lob
$ aqora test
...
[4362 OK] Success
Score: -3.1153113056450024

You may also run the notebook directly from the Visual Studio Code Aqora extension.

Please let us know how it goes and we will be happy to assist in any way we can.

Best,

Antoine

Posted by mattkendall • 9 days ago

Thanks! I'm running the notebook directly on Visual studio, everything is fine when i run in terminal, - its just running the cells of the notebook

Posted by julian • 9 days ago

Hi Matthew! You may want to check that you are running the kernel inside the virtual environment in VS code. In VS code when you have the notebook open you can select the kernel in the top right. It should be labeled .venv but if its not you can click on it and Select Another Kernel... > Python Environments > .venv (it should be starred). Let me know if that helps

Posted by antoine • 9 days ago

We are currently busy improving the Aqora extension for Visual Studio Code. We will let you know when we release a new version. In the mean time, I recommend you run aqora test from a terminal. Thank you for your feedback! 👍

Posted by stubbi • 9 days ago

Thanks for reaching out! We will check

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