LazyBear

MAC-Z Indicator [LazyBear]

This indicator is a composite of MACD and Z-Score (requested by @ChartAt). The general idea is that counter-trend component of the Z-score is used to adjust/improve the trend component of the MACD. The advantage is that it is a more accurate and “assumption-free” and can more accurately describe how a market or stock actually works in a given time frame.

I have also added support to smooth out the MAC-Z using Laguerre filter (Thanks @TheLark for the excellent LMA). Note that smoothing removes the "noise" component additive of Z-Score, so you may miss some good signals. By default Laguerre smoothing is OFF, I suggest playing with the Gamma to see if you can find a proper trade-off value.

Theme credits --> @liw0

More info:
cssanalytics.wordpre...ing-the-mac-z-score/

List of my free indicators: bit.ly/1LQaPK8
List of my indicators at Appstore: blog.tradingview.com/?p=970
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 ?
//
// @author LazyBear 
// List of all my indicators: https://www.tradingview.com/v/4IneGo8h/
//
study("MAC-Z Indicator [LazyBear]", shorttitle="MACZ_LB")
fastLength = input(12, minval=1, title="MACD Fast MA Length"), slowLength=input(25,minval=1, title="MACD Slow MA Length")
signalLength=input(9, title="MACD Signal Length")
lengthz = input(25, title="ZScore Length")
lengthStdev=input(25, title="Stdev Length")
A=input(1.0, minval=-2.0, maxval=2.0, title="MACZ constant A")
B=input(1.0, minval=-2.0, maxval=2.0, title="MACZ constant B")
useLag=input(false, type=bool, title="Apply Laguerre Smoothing")
gamma = input(0.02, title="Laguerre Gamma")

source = close
calc_wima(src, length) => 
    MA_s=(src + nz(MA_s[1] * (length-1)))/length
    MA_s

calc_laguerre(s,g) =>
    l0 = (1 - g)*s+g*nz(l0[1])
    l1 = -g*l0+nz(l0[1])+g*nz(l1[1])
    l2 = -g*l1+nz(l1[1])+g*nz(l2[1])
    l3 = -g*l2+nz(l2[1])+g*nz(l3[1])
    (l0 + 2*l1 + 2*l2 + l3)/6


zscore = ( source - calc_wima( source, lengthz ) ) / stdev( source, lengthz )
fastMA = sma(source, fastLength)
slowMA = sma(source, slowLength)
macd = fastMA - slowMA
macz_t=zscore*A+ macd/stdev(source, lengthStdev)*B
macz=useLag ? calc_laguerre(macz_t,gamma) : macz_t
signal=sma(macz, signalLength)
hist=macz-signal

plot(hist, color=red, style=histogram, title="Histogram")
plot(macz, color=green, title="MAC-Z")
plot(signal, color=orange, title="Signal")