Niklaus

Sector Alpha

Excess Return by US Sector
نص برمجي مفتوح المصدر

قام مؤلف هذا النص البرمجي بنشره وجعله مفتوح المصدر، بحيث يمكن للمتداولين فهمه والتحقق منه، وهو الأمر الذي يدخل ضمن قيم TradingView. تحياتنا للمؤلف! يمكنك استخدامه مجانًا، ولكن إعادة استخدام هذا الكود في منشور تحكمه قواعد الموقع. يمكنك جعله مفضلاً لاستخدامه على الرسم البياني.

إخلاء المسؤولية

لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.

هل تريد استخدام هذا النص البرمجي على الرسم البياني؟
study(title="Sector Alpha", shorttitle="Sector Alpha (%)")

//by Niklaus
////SHOWS US MARKET SECTORS EXCESS RETURNS
//Alpha is a measure of the active return on an investment, the performance of that investment compared to a suitable market index, in %
//alpha < 0: the investment has earned too little for its risk (or, was too risky for the return)
//alpha = 0: the investment has earned a return adequate for the risk taken
//alpha > 0: the investment has a return in excess of the reward for the assumed risk
//https://en.wikipedia.org/wiki/Alpha_(finance)

//Beta Calculation
sym = "SPY", res=period, src = close, length = input(title = "Beta Window", defval=300, minval=1)
ovr = security(sym, res, src)

sym2 = "XLF"
ovr2 = security(sym2, res, src)

sym3 = "XLK"
ovr3 = security(sym3, res, src)

sym4 = "XLI"
ovr4 = security(sym4, res, src)

sym5 = "XLB"
ovr5 = security(sym5, res, src)

sym6 = "XLV"
ovr6 = security(sym6, res, src)

sym7 = "XLU"
ovr7 = security(sym7, res, src)

sym8 = "XLE"
ovr8 = security(sym8, res, src)

sym9 = "XLP"
ovr9 = security(sym9, res, src)

sym10 = "XLY"
ovr10 = security(sym10, res, src)

//////////////////////////////////////////    FINANCIALS

retxlf = log(ovr2) - log(ovr2[1])
retb = log(ovr) - log(ovr[1])
secd = stdev(retxlf, length), mktd = stdev(retb, length)
Betaxlf = correlation(retxlf, retb, length) * secd / mktd

//Alpha Calculation
y = input(title="alpha period", type=integer, defval=90, minval=1, maxval=1000)
retxlf2 = log(ovr2) - log(ovr2[y])
retb2 = log(ovr) - log(ovr[y])
alphaxlf = retxlf2 - retb2*Betaxlf
plot(alphaxlf*100, color=green, style=line, transp=40, title='Fin')

//////////////////////////////////////////    TECHNOLOGY

retxlk = log(ovr3) - log(ovr3[1])
secdxlk = stdev(retxlk, length)
Betaxlk = correlation(retxlk, retb, length) * secdxlk / mktd

//Alpha Calculation

retxlk3 = log(ovr3) - log(ovr3[y])
alphaxlk = retxlk3 - retb2*Betaxlk
plot(alphaxlk*100, color=blue, style=line, transp=40, title='Tech')

//////////////////////////////////////////    INDUSTRIALS

retxli = log(ovr4) - log(ovr4[1])
secdxli = stdev(retxli, length)
Betaxli = correlation(retxli, retb, length) * secdxli / mktd

//Alpha Calculation

retxli3 = log(ovr4) - log(ovr4[y])
alphaxli = retxli3 - retb2*Betaxli
plot(alphaxli*100, color=aqua, style=line, transp=40, title='Indu')


//////////////////////////////////////////    MATERIALS

retxlb = log(ovr5) - log(ovr5[1])
secdxlb = stdev(retxlb, length)
Betaxlb = correlation(retxlb, retb, length) * secdxlb / mktd

//Alpha Calculation

retxlb2 = log(ovr5) - log(ovr5[y])
alphaxlb = retxlb2 - retb2*Betaxlb
plot(alphaxlb*100, color=gray, style=line, transp=0, title='Mats')

//////////////////////////////////////////    HEALTHCARE

retxlv = log(ovr6) - log(ovr6[1])
secdxlv = stdev(retxlv, length)
Betaxlv = correlation(retxlv, retb, length) * secdxlv / mktd

//Alpha Calculation

retxlv2 = log(ovr6) - log(ovr6[y])
alphaxlv = retxlv2 - retb2*Betaxlv
plot(alphaxlv*100, color=red, style=line, transp=40, title='HlthCare')


//////////////////////////////////////////    UTILITIES

retxlu = log(ovr7) - log(ovr7[1])
secdxlu = stdev(retxlu, length)
Betaxlu = correlation(retxlu, retb, length) * secdxlu / mktd

//Alpha Calculation

retxlu2 = log(ovr7) - log(ovr7[y])
alphaxlu = retxlu2 - retb2*Betaxlu
plot(alphaxlu*100, color=orange, style=line, transp=60, title='Utlt')

//////////////////////////////////////////    ENERGY

retxle = log(ovr8) - log(ovr8[1])
secdxle = stdev(retxle, length)
Betaxle = correlation(retxle, retb, length) * secdxle / mktd

//Alpha Calculation

retxle2 = log(ovr8) - log(ovr8[y])
alphaxle = retxle2 - retb2*Betaxle
plot(alphaxle*100, color=fuchsia, style=line, transp=40, title='Nrg')

//////////////////////////////////////////    CONSUMER STAPLES

retxlp = log(ovr9) - log(ovr9[1])
secdxlp = stdev(retxlp, length)
Betaxlp = correlation(retxlp, retb, length) * secdxlp / mktd

//Alpha Calculation

retxlp2 = log(ovr9) - log(ovr9[y])
alphaxlp = retxlp2 - retb2*Betaxlp
plot(alphaxlp*100, color=maroon, style=line, transp=40, title='Stpl')


//////////////////////////////////////////    CONSUMER DISCRETIONARY

retxly = log(ovr10) - log(ovr10[1])
secdxly = stdev(retxly, length)
Betaxly = correlation(retxly, retb, length) * secdxly / mktd

//Alpha Calculation

retxly2 = log(ovr10) - log(ovr10[y])
alphaxly = retxly2 - retb2*Betaxly
plot(alphaxly*100, color=olive, style=line, transp=10, linewidth=1, title='Disc')


hline(0, linewidth=1)