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
Aqora install error?
Hey, I think I am having this error when running aqora install. Any suggestions to resolve this? Thanks!
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Posted by antoine •
Hello @peterys!
It seems that
torch v2.4.1 supports Python 3.8-3.12 on Windows (amd64 only), Linux (both amd64 and arm64), and macOS (arm64 only).You can find your Python version and platform using these commands:
$ python3 -V
Python 3.12.8
$ python3 -m platform
macOS-15.2-arm64-arm-64bitI can attest this install works well with the quantum-signals-lob use-case.
You may have a too recent Python installed, fortunately you can easily install whichever Python of your choosing using
uv python install X.Y.X.Please let me know if you need further help!
Posted by aarshitaacharya • (edited)
Hello @antoine,
I have "macOS-15.0.1-x86_64-i386-64bit" and apparently torch>=2.3 is not available for intel macOS (it stopped around jan 2024). This makes the installation fail, and I can't proceed ahead. Could you please guide me if there is a way around?
Posted by antoine •
Hello Aarshita!
I updated the use-case to relax dependency requirements. I downgraded
torch @ 2.2.2 and numpy @ 1.26.4, which should enable you to run your submission on a macOS Intel machine. To update, you will have to:- Downgrade your dependency requirements too in your file
pyproject.toml, - Run
aqora clean, - Run
aqora install.
Please let me know how it goes for you, I'll be happy to further help you sort things out!
Posted by aarshitaacharya •
That worked perfectly! Thank you so much for such a quick response. Appreciate it! :)
Posted by hasarinduperera •
What is your Python version?
Try using Python 3.10. If changing your Python version is too difficult, install Conda and create an environment with Python 3.10.
Posted by stubbi •
Thanks for suggesting, @hasarinduperera!
@peterys indeed there had been some users struggling with such python version challenges recently