Return a linear regression channel with a window size within the range (min, max) such that the R-squared is maximized, this allows a better estimate of an underlying linear trend, a better detection of significant historical supports and resistance points, and avoid finding a good window size manually.
Min : Minimum window size value
@pips_v1 has proposed an interesting idea that is it possible to code an "Adaptive Jon Andersen R-Squared Indicator" where the length is determined by DCPeriod as calculated in Ehlers Sine Wave Indicator? I agree with him and starting to construct this indicator. After a study, I found "(blackcat) L2 Ehlers Autocorrelation Periodogram"...
The R-Squared indicator created by Jon Andersen in "Standard error bands" in the September 1996 STOCKS & COMMODITIES .
This script fristly creates the coeffR function which is used to produced the R-Squared indicator. The coeffR function is used to calculate the correlation coefficient R. Once I have created and verified the coeffR...
This script was written to calculate the correlation coefficient (Adjusted R-Squared) for one dependent and two independent variables.(3-way)
Pearson correlation method was used with exponential moving averages as the correlation calculation method.
Use your source ( i use "close" generally ) as the dependent variable.
Inspired by this article :...
made a quick script to compare r2 correlation coefficient, can change source and correlation component in inputs menu
example, here we can see that btc currently has a 0.85 correlation with eth vs usd when using simple moving avg on the daily (above 0.8 is positive correlation. below -0.8 is negitive correlation, and anything in between means there is no...
I already mentioned various problems associated with the lsma, one of them being overshoots, so here i propose to use an lsma using a developed and adaptive form of 1st order polynomial to provide several improvements to the lsma. This indicator will adapt to various coefficient of determinations while also using various recursions.
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