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
Skrip open-source

Dalam semangat TradingView, penulis dari skrip ini telah mempublikasikannya ke sumber-terbuka, maka trader dapat mengerti dan memverifikasinya. Semangat untuk penulis! Anda dapat menggunakannya secara gratis, namun penggunaan kembali kode ini dalam publikasi diatur oleh Tata Tertib. Anda dapat memfavoritkannya untuk digunakan pada chart

Pernyataan Penyangkalan

Informasi dan publikasi tidak dimaksudkan untuk menjadi, dan bukan merupakan saran keuangan, investasi, perdagangan, atau rekomendasi lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Persyaratan Penggunaan.

Inggin menggunakan skrip ini pada chart?
//
// @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")