Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

As long as I set a lot of data, it will take a long time to execute the program, but I see that the system resources are not occupied to 10%. Is there any way to make it run at full load? #1112

Closed
a37836323 opened this issue Jan 29, 2024 · 0 comments · Fixed by #1206
Closed

As long as I set a lot of data, it will take a long time to execute the program, but I see that the system resources are not occupied to 10%. Is there any way to make it run at full load? #1112

a37836323 opened this issue Jan 29, 2024 · 0 comments · Fixed by #1206
Labels
duplicate This issue or pull request already exists

Comments

@a37836323
Copy link

As long as I set a lot of data, it will take a long time to execute the program, but I see that the system resources are not occupied to 10%. Is there any way to make it run at full load?
stats = bt.optimize(n1=range(5, 30, 5),
n2=range(10, 70, 5),
d_rsi=range(5, 30, 3),
xxx=range(5, 30, 3),
xxx=range(2, 15, 3),...
@kernc kernc added the duplicate This issue or pull request already exists label Feb 2, 2025
@kernc kernc mentioned this issue Feb 2, 2025
Merged
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
duplicate This issue or pull request already exists
Projects
None yet
Milestone
No milestone
Development

Successfully merging a pull request may close this issue.

Use joblib.Parallel for Backtest.optimize(method='grid') kernc/backtesting.py
2 participants
@kernc @a37836323