Function Polynomial Regression

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Description:
A function that returns a polynomial regression and deviation information for a data set.

Inputs:
_X: Array containing x data points.
_Y: Array containing y data points.

Outputs:
_predictions: Array with adjusted _Y values.
_max_dev: Max deviation from the mean.
_min_dev: Min deviation from the mean.
_stdev/_sizeX: Average deviation from the mean.

Resources:
https://en.wikipedia.org/wiki/Polynomial...
https://rosettacode.org/wiki/Polynomial_...
リリースノート: optional colors as input
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コメント

This is a stunningly beautiful masterpiece in Pine, I must admit. That is some elegant array() work there! I do believe this is exemplary for the necessity for even more line.new(). It's definitely a top honors choice, if we had a yearly spotlight of the year's greatest achievements from adept "mathemagicians" via the "Power of Pine".

midtownsk8rguy
@midtownsk8rguy, I couldn't agree more with you on that note. Great job RicardoSantos! You just made everyone's day. I bet most mathematicians would be proud of this work. This should be implemented into TV's charting tools!!

This publication is now featured in our Editors' Picks. In the name of all TradingView traders, thank you for your valuable contribution to the TradingView community, and congrats!

This also triggers me thinking how to apply Polynomial regression for TA. Is that possible to make Polynomial regression "adaptive". I understand markets show volatile nature...

After testing this out this is 100 times more useful the stock linear regression. Holy this is game changing. Thank you again Ricardo, especially for keeping your scripts free for everyone to use. Truly a good man!

An excellent implementation example of array, thanks. Does array support newly introduced variable length?

Respect

Wow, this script shows how powerful PINE can be with the array function! Before I start the array application, let's learn these excellent cases first. This is what advanced PINE script programming can use: D