lix

Lix_JAMES

Uses various trend algos to help indicate market turns
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study(title="Lix_JAMES", shorttitle="Lix_JAMES", overlay=true)
len = input(14, minval=1, title="DI Length")
lensig = input(14, title="ADX Smoothing", minval=1, maxval=50)
up = change(high)
down = -change(low)
trur = rma(tr, len)
plus = fixnan(100 * rma(up > down and up > 0 ? up : 0, len) / trur)
minus = fixnan(100 * rma(down > up and down > 0 ? down : 0, len) / trur)
sum = plus + minus 
adx = 100 * rma(abs(plus - minus) / (sum == 0 ? 1 : sum), lensig)
//EMAs
srcEma1 = close, len1 = input(6, minval=1, title="Fast EMA")
ema1 = ema(srcEma1, len1)
srcEma2 = close, len2 = input(20, minval=1, title="Slow EMA")
ema2 = ema(srcEma2, len2)
//
//
diffEma = (100 * (ema1 - ema2) / ((ema1 + ema2) / 2))
emaSignalBuy = ema1>ema2 ? 1 : 0
//SAR
startSAR = input(0.02)
incrementSAR = input(0.02)
maximumSAR = input(0.2)
//
outSAR = sar(startSAR, incrementSAR, maximumSAR)
//MACD
sourceMCD = close
fastLengthMCD = input(12, minval=1), slowLength=input(26,minval=1)
signalLengthMCD=input(9,minval=1)
fastMACD = ema(sourceMCD, fastLengthMCD)
slowMACD = ema(sourceMCD, slowLength)
macd = fastMACD - slowMACD
signal = sma(macd, signalLengthMCD)
hist = macd - signal
//plot(hist, color=red, style=histogram)
//plot(macd, color=blue)
//plot(signal, color=orange)
isSarUp = outSAR < close ? 1 : 0
isMacdUp = signal < macd ? 1 : 0
diff = (100 * (macd - signal) / ((macd + signal) / 2))
act = abs(diff) > 0.01 and abs(diff) < 2 ? diff : 0
c = low - (low/1000000)
signalBuy = (isSarUp > 0 and isMacdUp > 0 and emaSignalBuy > 0 and adx > 20) ? (c) : na
//signalBuy = (isMacdUp > 0 and emaSignalBuy > 0) ? (c) : na
//plot(outSAR)
//plot(signalBuy)
plot(signalBuy, style=circles, color=purple, linewidth = 2)
plot(ema1, color=red)
plot(ema2)
//plot(act, color=yellow)
Nice work !!! Added to my library.
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