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hi,
Thanks for great package. I have tried to use you package with hour frequency data for period 2004-2020, with just 694 events and 10 stocks.
The code is really slow (I haven't wait it to finish but it is slow).
I discovered the lapply part inside prepare.returns function is slow.
lapply
prepare.returns
Can I advise you to use future_lapply instead of lapply for parallel processing?
future_lapply
It can increases the performance.
IS there any function that can be improved by using C++?
The text was updated successfully, but these errors were encountered:
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hi,
Thanks for great package. I have tried to use you package with hour frequency data for period 2004-2020, with just 694 events and 10 stocks.
The code is really slow (I haven't wait it to finish but it is slow).
I discovered the
lapply
part insideprepare.returns
function is slow.Can I advise you to use
future_lapply
instead oflapply
for parallel processing?It can increases the performance.
IS there any function that can be improved by using C++?
The text was updated successfully, but these errors were encountered: