PINE LIBRARY
Updated Feature Scaling
Library "Feature_Scaling"
FS: This library helps you scale your data to certain ranges or standarize, normalize, unit scale or min-max scale your data in your prefered way. Mostly used for normalization purposes.
minmaxscale(source, min, max, length)
minmaxscale: Min-max normalization scales your data to set minimum and maximum range
Parameters:
source
min
max
length
Returns: res: Data scaled to the set minimum and maximum range
meanscale(source, length)
meanscale: Mean normalization of your data
Parameters:
source
length
Returns: res: Mean normalization result of the source
standarize(source, length, biased)
standarize: Standarization of your data
Parameters:
source
length
biased
Returns: res: Standarized data
unitlength(source, length)
unitlength: Scales your data into overall unit length
Parameters:
source
length
Returns: res: Your data scaled to the unit length
FS: This library helps you scale your data to certain ranges or standarize, normalize, unit scale or min-max scale your data in your prefered way. Mostly used for normalization purposes.
minmaxscale(source, min, max, length)
minmaxscale: Min-max normalization scales your data to set minimum and maximum range
Parameters:
source
min
max
length
Returns: res: Data scaled to the set minimum and maximum range
meanscale(source, length)
meanscale: Mean normalization of your data
Parameters:
source
length
Returns: res: Mean normalization result of the source
standarize(source, length, biased)
standarize: Standarization of your data
Parameters:
source
length
biased
Returns: res: Standarized data
unitlength(source, length)
unitlength: Scales your data into overall unit length
Parameters:
source
length
Returns: res: Your data scaled to the unit length
Release Notes
v2Updated: Fixed Descriptions
minmaxscale(source, min, max, length)
minmaxscale Min-max normalization scales your data to set minimum and maximum range
Parameters:
source: Source data you want to use
min: Minimum value you want
max: Maximum value you want
length: Length of the data you want taken into account
Returns: res Data scaled to the set minimum and maximum range
meanscale(source, length)
meanscale Mean normalization of your data
Parameters:
source: Source data you want to use
length: Length of the data you want taken into account
Returns: res Mean normalization result of the source
standarize(source, length, biased)
standarize Standarization of your data
Parameters:
source: Source data you want to use
length: Length of the data you want taken into account
biased: Whether to do biased calculation while taking standard deviation, default is true
Returns: res Standarized data
unitlength(source, length)
unitlength Scales your data into overall unit length
Parameters:
source: Source data you want to use
length: Length of the data you want taken into account
Returns: res Your data scaled to the unit length
Pine library
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
One does not simply win every trade.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Pine library
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
One does not simply win every trade.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.