Piet.Hein

Sectors Relative Strength Normal Distribution

I wrote this indicator as an attempt to see the Relative Strengths of different sectors in the same scale, but there is also other ways to do that.

This indicator plots the normal distribution for the 10 sectors of the SPY for the last X bars of the selected resolution, based on the selected comparative security. It shows which sectors are outperforming and underperforming the SPY (or any other security) relatively to each other by the given deviation.
Script open-source

Nello spirito di condivisione promosso da TradingView, l'autore (al quale vanno i nostri ringraziamenti) ha deciso di pubblicare questo script in modalità open-source, così che chiunque possa comprenderlo e testarlo. Puoi utilizzarlo gratuitamente, ma il riutilizzo del codice è subordinato al rispetto del Regolamento. Per aggiungerlo al grafico, mettilo tra i preferiti.

Declinazione di responsabilità

Le informazioni ed i contenuti pubblicati non costituiscono in alcun modo una sollecitazione ad investire o ad operare nei mercati finanziari. Non sono inoltre fornite o supportate da TradingView. Maggiori dettagli nelle Condizioni d'uso.

Vuoi usare questo script sui tuoi grafici?
study("Sectors Relative Strength Normal Distribution")

//This indicator plots the normal distribution for the 10 sectors of the SPY for the last X bars of the selected resolution, based on the selected comparative security.

sym = input(title="Comparative Security", type=symbol, defval="SPY")
res = input(title="Resolution", type=resolution, defval="D")
a = security(sym, res, close)
i = input(title="Deviation", type=integer, defval=200, minval=2, maxval=2000)

XLB1 = security("XLB",res,close)
XLE1 = security("XLE",res,close)
XLF1 = security("XLF",res,close)
XLI1 = security("XLI",res,close)
XLK1 = security("XLK",res,close)
XLP1 = security("XLP",res,close)
XLU1 = security("XLU",res,close)
XLV1 = security("XLV",res,close)
XLY1 = security("XLY",res,close)
XTN1 = security("XTN",res,close)

XLB2 = XLB1/a
XLE2 = XLE1/a
XLF2 = XLF1/a
XLI2 = XLI1/a
XLK2 = XLK1/a
XLP2 = XLP1/a
XLU2 = XLU1/a
XLV2 = XLV1/a
XLY2 = XLY1/a
XTN2 = XTN1/a

XLB3 = stdev(XLB2,i)
XLE3 = stdev(XLE2,i)
XLF3 = stdev(XLF2,i)
XLI3 = stdev(XLI2,i)
XLK3 = stdev(XLK2,i)
XLP3 = stdev(XLP2,i)
XLU3 = stdev(XLU2,i)
XLV3 = stdev(XLV2,i)
XLY3 = stdev(XLY2,i)
XTN3 = stdev(XTN2,i)

XLB4 = sum(XLB2,i)/i
XLE4 = sum(XLE2,i)/i
XLF4 = sum(XLF2,i)/i
XLI4 = sum(XLI2,i)/i
XLK4 = sum(XLK2,i)/i
XLP4 = sum(XLP2,i)/i
XLU4 = sum(XLU2,i)/i
XLV4 = sum(XLV2,i)/i
XLY4 = sum(XLY2,i)/i
XTN4 = sum(XTN2,i)/i

XLB5 = (XLB2-XLB4)/XLB3
XLE5 = (XLE2-XLE4)/XLE3
XLF5 = (XLF2-XLF4)/XLF3
XLI5 = (XLI2-XLI4)/XLI3
XLK5 = (XLK2-XLK4)/XLK3
XLP5 = (XLP2-XLP4)/XLP3
XLU5 = (XLU2-XLU4)/XLU3
XLV5 = (XLV2-XLV4)/XLV3
XLY5 = (XLY2-XLY4)/XLY3
XTN5 = (XTN2-XTN4)/XTN3

plot(XLB5,title="Materials - XLB",color=red)
plot(XLE5,title="Energy - XLE",color=blue)
plot(XLF5,title="Financial - XLF",color=purple)
plot(XLI5,title="Industrial - XLI",color=yellow)
plot(XLK5,title="Technology - XLK",color=orange)
plot(XLP5,title="Consumer Staples - XLP",color=green)
plot(XLU5,title="Utilities - XLU",color=gray)
plot(XLV5,title="Healthy Care - XLV",color=black)
plot(XLY5,title="Consumer Discretionary - XLY",color=maroon)
plot(XTN5,title="Transportation - XTN",color=navy)