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Hello QuanntConnect Community ,
I am currently working on an LSTM model for my master's thesis in Germany. I have used a code from the community as a basis: (https://www.quantconnect.com/forum/discussion/6931/from-research-to-production-long-short-term-memory/p1).
I would like to backtest it, but I don't get any results. Most of the time this error message appears in the Cloud Terminal: Runtime Error (Open Stack Trace).
I am on the free version.
Do I have to upgrade to a paid subscription for such projects? Or am I doing something wrong?
If you have any tips or ideas for the code, I would be happy if you share them with me.
Thank you very much for your help!
With best regards
Florian Wülfing
Nico Xenox
Hey Florian Wuelfing,
the CPU usage is extremely high. There are different history requests, etc. that take a lot of usage. If I run it on my account it works (2CPUs | 8GB RAM) so it's possible that you might need to upgrade to a better node or lower the amounts history requests and stocks.
Best,
Nico
Yuri Lopukhov
I second this, it works on paid node, if you want to run it as is, you need to upgrade. But if your idea is different, you can just try using less data to fit the comunity node limits. Later if it works, you can increase parameters if needed to run on paid node.
Also, in Predict method I would extract History call from the cycle, just send one request for all required symbols instead of calling it for each symbol in cycle, this is very time-consuming.
Florian Wuelfing
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