Niklaus

Alpha strategy

USE ON DAILY TIMEFRAME TO DETECT MOMO STOCKS & ETFs AND TRADE THEM
This Strategy goes long when Sharpe Ratio is > 1 and Alpha against the S&P500 is generated. It exits when conditions break away. Strategy can be adapted to run intraday, it however needs different (lower) trigger levels.

examples to try this on: GER30, NAS100, JPN225, AAPL, IBB, TSLA, etc.
Skrip sumber terbuka

Dalam semangat TradingView yang sebenar, penulis skrip ini telah menerbitkannya dengan menggunakan sumber terbuka supaya pedagang-pedagang dapat memahami dan mengesahkannya. Sorakan kepada penulis! Anda dapat menggunakannya secara percuma tetapi penggunaan semula kod ini dalam penerbitan adalah dikawalselia oleh Peraturan Dalaman. Anda boleh menyukainya untuk menggunakannya pada carta.

Penafian

Maklumat dan penerbitan adalah tidak dimaksudkan untuk menjadi, dan tidak membentuk, nasihat untuk kewangan, pelaburan, perdagangan dan jenis-jenis lain atau cadangan yang dibekalkan atau disahkan oleh TradingView. Baca dengan lebih lanjut di Terma Penggunaan.

Ingin menggunakan skrip ini pada carta?
//@version=2
strategy("Alpha strategy", overlay=true)

//by NIKLAUS
//USE ON DAILY TIMEFRAME TO DETECT MOMO STOCKS & ETFs AND TRADE THEM
//examples to try this on: GER30, NAS100, JPN225, AAPL, IBB, TSLA, etc.

//This Strategy goes long when Sharpe Ratio is > 1 and Alpha against the S&P500 is generated. It exits when conditions break away.
//Strategy can be adapted to run intraday, it however needs different (lower) trigger levels
//------------------------------------------------------------------------------------------------------------------------------------
//Alpha is a measure of the active return on an investment, the performance of that investment compared to a suitable market index. 
//An alpha of 1% means the investment's return on investment over a selected period of time was 1% better than the market during that same period, 
//an alpha of -1 means the investment underperformed the market. 
//Alpha is one of the five key measures in modern portfolio theory: alpha, beta, standard deviation, R-squared and the Sharpe ratio.


//sharpe by rashad
src = ohlc4, len = input(90, title = "Sharpe Time Frame (252 = year)")
dividend_yield = input(0.0000, minval = 0.00001, title = "Dividend Yield? 0.01=1%, USE 12 M TTM!!!")
pc = ((src - src[len])/src) + (dividend_yield*(len/252))
std = stdev(src,len)
stdaspercent = std/src
riskfreerate = input(0.0004, minval = 0.0001, title = "risk free rate (3 month treasury yield), enter as decimal")
sharpe = (pc - riskfreerate)/stdaspercent
signal = sma(sharpe,len)
calc = sharpe - signal

//alpha
sym = "SPX500", res=period, sourc = close, length = input(title="Beta Lookback",defval=300, minval=1)
ovr = security(sym, res, sourc)


ret = ((close - close[1])/close)
retb = ((ovr - ovr[1])/ovr)

secd = stdev(ret, length), mktd = stdev(retb, length)
Beta = correlation(ret, retb, length) * secd / mktd

y = input(title="Alpha Period", type=integer, defval=90, minval=1, maxval=1000)
ret2 = ((close - close[y])/close)
retb2 = ((ovr - ovr[y])/ovr)

alpha = ret2 - retb2*Beta
//plot(alpha, color=green, style=area, transp=40)


//sr filter
j = input(title="sr len", type=integer, defval=27, minval=1, maxval=1000)
z = (close - close[j])/close
sd3 = stdev(z,j)
sr=(z/sum(sd3,j))



smatrig = input(title="sma lenght for triggers", type=integer, defval=45, minval=1, maxval=1000) 
bgcolor (sma(sharpe,smatrig) > 1 and sma(alpha,smatrig) > 0 ? green : red, transp=70)
alphatrig = input(title="Alpha trigger Level, % in decimals,shorterTF=lower", type=float, defval=0.03, minval=0, maxval=10)    
o = input(title="sr trigger", type=float, defval=0.03, minval=0, maxval=10) 

if (close > open) and (sma(sharpe,smatrig) > 1) and (sma(alpha,smatrig) > alphatrig) and (sr > o)
    strategy.entry("Alpha", strategy.long)
strategy.close("Alpha", when = (sma(sharpe,smatrig) < 1) or (sma(alpha,smatrig) < 0))