4H CCI Strategy
Just a test...I'm not sure this will work 100%. I think the backtest is flawed (the exit parameters look suspicious)
Anyway, the strategy does make sense, maybe in live trading it'll toss good signals.
Can we apply it to our demo account here? (trading panl) Anyone?
Anyway, the strategy does make sense, maybe in live trading it'll toss good signals.
Can we apply it to our demo account here? (trading panl) Anyone?
//@version=2
strategy("4H CCI Strategy", overlay=true)
length = input( 11 )
overSold = input( -150 )
overBought = input( +150 )
price1 = high
price2 = low
ucci = cci(price1, length)
dcci = cci(price2, length)
vcci = cci(ohlc4, 11)
resCustom = input(title="Timeframe", type=resolution, defval="15")
Length = input(16, minval=1)
xPrice = security(tickerid, resCustom, hlc3)
xvnoise = abs(xPrice - xPrice[1])
nfastend = 0.666
nslowend = 0.0645
nsignal = abs(xPrice - xPrice[Length])
nnoise = sum(xvnoise, Length)
nefratio = iff(nnoise != 0, nsignal / nnoise, 0)
nsmooth = pow(nefratio * (nfastend - nslowend) + nslowend, 2)
nAMA = nz(nAMA[1]) + nsmooth * (xPrice - nz(nAMA[1]))
basis1 = nAMA
slope = change(basis1,1)
if (not na(vcci))
if (crossover(dcci, overSold))
strategy.entry("CCILE", strategy.long, comment="CCILE")
strategy.exit("exit", "CCILE", profit = 0.01, loss = 0.005)
if (crossunder(ucci, overBought))
strategy.entry("CCISE", strategy.short, comment="CCISE")
strategy.exit("exit", "CCISE", profit = 0.01, loss = 0.005)
//plot(strategy.equity, title="equity", color=red, linewidth=2, style=areabr)