Calcuating SMA on an Array In this script i show you how to calculate SMA on an array. Several values are plotted just for illustration.
Steps to follow: - make sure you have an array with values (source array) - create a blank array (pref. with the same size) - call the function array_sma
This function fills the empty array with the SMA values of the source array.
Notas de Lançamento
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Updates: - EMA Array added - Indexes now inline with Pinescript
@Wilson-IV Hey, thanks for this. I am currently creating an Optimizer, which calculates the ROI of a Strategy using the Indicator Foundation.
That works now, and I want to compare dozens of moving averages with one another, for which I want to use arrays for. Once that is added we will use a Order Frequency Filter, meaning we find the strategy that has the most orders and the strategy that got triggered the least and develop a ratio out of that. We could easily add Slippage and Fees later. Strategies are more reliable the higher their order frequency is.
Wilson-IV
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@hgmahan, Thanks for your message. This script was created in 2020. Nowadays TV has Matrices which can give you more flexibility then arrays. Matrices has MxN dimension while arrays only has (so far i know) 1-dimensional. Imho i think matrices will help you far more better then arrays.
UnknownUnicorn11728497
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@Wilson-IV, Thanks for your advice, will try to put it into use. WIll grant you access too once it's done
ckppmarathe
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It seems that index = 0 is the oldest value in the time series that the array represents. In normal pinescript series the index = 0 is the newest value.
If this is correct, can you modify the code so that index = 0 gives the newest value to be in line with pinescript?
Wilson-IV
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@ckppmarathe, Thank you for your feedback. You are right. E.x. close(0) is the most recent value then close(4), so in this case i need to use index = 0 as the newest value then continue to index = 4 as the oldes.
I will change the code so that index = 0 will be the newest value according the way pinescript works. Thanks again.
//Fill only the first array slot with the SMA value
array.set(array_ema_destination, index, array.get(array_sma_source, dbl_Temp1))
else if dbl_Temp1 > 0
//Fill array slots from index = 1 to the last index with EMA value
array.set(array_ema_destination, index, (aplha * array.get(array_source, dbl_Temp1)) + (1 - aplha) * array.get(array_ema_destination, dbl_Temp1 - 1))
//=== Fill array_EMA with EMA values
array_ema(array_test, array_SMA, array_EMA, 5, 2)
Hey, thanks for this. I am currently creating an Optimizer, which calculates the ROI of a Strategy using the Indicator Foundation.
That works now, and I want to compare dozens of moving averages with one another, for which I want to use arrays for.
Once that is added we will use a Order Frequency Filter, meaning we find the strategy that has the most orders and the strategy that got triggered the least and develop a ratio out of that.
We could easily add Slippage and Fees later.
Strategies are more reliable the higher their order frequency is.