ORDINARY LEAST SQUARES Slope by @XeL_Arjona — Indicateur par xel_arjona

linreg linearregression ols ordinaryleastsquares slope linregslope olsslope regression regressionanalysis

ORDINARY LEAST SQUARES Slope by @XeL_Arjona
Ver. 1 by Ricardo M Arjona @XeL_Arjona

DISCLAIMER:

The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.

The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.

WHAT'S THIS?

This is a REAL mathematically approach of an ORDINARY LEAST SQUARES LINE FITTING SLOPE as TradingView currently don't have a native one embedded, neither as a pine function. Other "Sope" indicators from this linear regression model I found on public library are currently based on "momentum" rather tan slope.

Any modifications or additions are quite welcome!

Cheers!
@XeL_Arjona

Script open-source

Dans le véritable esprit de TradingView, l'auteur de ce script l'a publié en open-source, afin que les traders puissent le comprendre et le vérifier. Bravo à l'auteur! Vous pouvez l'utiliser gratuitement, mais la réutilisation de ce code dans une publication est régie par le règlement. Vous pouvez le mettre en favori pour l'utiliser sur un graphique.

Clause de non-responsabilité

Les informations et les publications ne sont pas destinées à être, et ne constituent pas, des conseils ou des recommandations en matière de finance, d'investissement, de trading ou d'autres types de conseils fournis ou approuvés par TradingView. Pour en savoir plus, consultez les Conditions d'utilisation.

Vous voulez utiliser ce script sur un graphique ?

//@version=2
study("ORDINARY LEAST SQUARES Slope by @XeL_Arjona",shorttitle="LinReg Slope", overlay=false,precision=4)
p   = input(title="Lookback Window:",defval=21)
src = input(title="Series Source:",type=source,defval=close)
// SLOPE FUNCTION
ols_slope(array,lookback) =>
    x1 = n[lookback]
    x2 = n
    y1 = linreg(array,lookback,lookback)
    y2 = linreg(array,lookback,0)
    dx = x2-x1
    dy = y2-y1
    out = (dy/dx)
// STUDY VARIABLES TO OUTPUT
slp = ols_slope(src,p)
// PLOTTING DIRECTIVES
plot(slp,style=columns,color=slp>0?blue:red,title="OLS Slope",transp=55)