QNNs for Stock Price Trend Prediction background cover

QNNs for Stock Price Trend Prediction

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

Quantum Signals

Hosted by

Quantum Signals

Overview
Docs
Code
Rules
Discussion
Leaderboard
Sabarikirishwaran Ponnambalam
Sabarikirishwaran

2

Posted

Is it allowed to edit pyvenv.cfg file to flip include-system-site-packages to true?

I have pytorch+cuda installed on global env and usually augment it with the venv for cuda access within the venv. In this case, I have uninstalled torch 12.4.1 installed by default while downloading the template and it automatically fetched the global torch version. Please let me know if it is allowed and it doesn't infer with aqora test command. Thank you for your time.
Order by:
Jannes Stubbemann

2

Posted by stubbi •

Thanks for reaching out! I am not sure I fully understand and if you could achieve something similar editing the dependencies section in pyproject.toml.
That said, I don't see any issue editing the pyvenv.cfg. @antoine might be able to further clarify
Jannes Stubbemann

1

Posted by stubbi •

@sabarikirishwaran quickly checking if you could continue to work on your submission with my feedback?
Sabarikirishwaran Ponnambalam

1

Posted by Sabarikirishwaran •

Thank you @stubbi I can work on my submission.
Jannes Stubbemann

1

Posted by stubbi •

Awesome, best of luck! 🤗

Want to join this discussion?

Join our community today and start discussing with our members by participating in exciting events, competitions, and challenges. Sign up now to engage with quantum experts!