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Date/Time: Sun, 28 Apr 2024 03:38:29 +0000



Study with large number of persistent variables

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[2020-04-16 16:18:13]
@sstfrederik - Posts: 403
Hi SC,

I recently noticed that when a study with a large set of persistent variables is loaded on a chart with a large number of bars (20 day tick chart vs 20 time based chart) it shows quite a high study calculation time (several hundreds of ms).

Although no calculations are performed in this study. This is just from the declaration of these persistent variables.

I tested this on a skeleton study were nothing is done but using 150
float& Example= sc.GetPersistentFloat(0);
declarations.

Is there something that can be done about that other than loading less bars? It makes the study look slower than it actually is.

Frederik
[2020-04-16 18:21:58]
Sierra Chart Engineering - Posts: 104368
Change to manual looping. Manual looping is always going to be the best performance. If you change all of your studies to Manual Looping you should get a significant performance improvement. As a custom study developer that should be the preferred method. Automatic looping was developed to make code development easier to understand for users for simple studies.

Refer to:
Working with ACSIL Arrays and Understanding Looping: Manual Looping/Iterating

We can also create persistent variables which use a simple array and not a map and this will improve performance further. We had been thinking about that recently.
Sierra Chart Support - Engineering Level

Your definitive source for support. Other responses are from users. Try to keep your questions brief and to the point. Be aware of support policy:
https://www.sierrachart.com/index.php?l=PostingInformation.php#GeneralInformation

For the most reliable, advanced, and zero cost futures order routing, *change* to the Teton service:
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Date Time Of Last Edit: 2020-04-16 18:35:44
[2020-04-16 20:10:29]
@sstfrederik - Posts: 403
Manual looping looping solved the high calculation time on study load so that will be the way fwd for this study. Thanks.

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