Hello, wanted to drop this self learning PSAR Algorithm for you guys
This input is equivalent to "Max Value" in the built-in SAR . It's fairly self-explanatory.
This is the acceleration factor's limit.
I kept it at 0.2 like the standard. You won't typically notice much of a difference when changing this value, unless you decrease it.
The inputs control your date and time settings for the "learning" phase.
The start and end times are also displayed within the info panel.
You can also select your timezone for this. By default, it uses the exchange's timezone. But you can set a custom time zone for this as well.
When time is within this range, the optimizer is actively running and identifying the best settings for start and increment. Once time is outside of this range, the values are finalized.
The last input group is for the info panel.
From here, you can toggle it, as well as select size and colors.
Naturally, this script is quite different from your "run of the mill" PSAR since it uses a form of algorithmic learning to automatically identify the best settings. Or in other words, the inputs are optimized to deliver the best returns over the testing range.
Leave a like or comment!
Had to update the this public script
This input is equivalent to "Max Value" in the built-in SAR . It's fairly self-explanatory.
This is the acceleration factor's limit.
I kept it at 0.2 like the standard. You won't typically notice much of a difference when changing this value, unless you decrease it.
The inputs control your date and time settings for the "learning" phase.
The start and end times are also displayed within the info panel.
You can also select your timezone for this. By default, it uses the exchange's timezone. But you can set a custom time zone for this as well.
When time is within this range, the optimizer is actively running and identifying the best settings for start and increment. Once time is outside of this range, the values are finalized.
The last input group is for the info panel.
From here, you can toggle it, as well as select size and colors.
Naturally, this script is quite different from your "run of the mill" PSAR since it uses a form of algorithmic learning to automatically identify the best settings. Or in other words, the inputs are optimized to deliver the best returns over the testing range.
Leave a like or comment!
Had to update the this public script
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-fix bugs
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All content from AngelAlgo is for informational and educational purposes only. Please note that past performance does not guarantee future results.
Join our community via discord.gg/FGUTfkmYbW
All content from AngelAlgo is for informational and educational purposes only. Please note that past performance does not guarantee future results.