LazyBear

Indicator: Intrady Momentum Index

The Intraday Momentum Index (IMI), developed by Tushar Chande, is a cross-breed between RSI and candlestick analysis. IMI determines the candle type that dominated the recent price action, using that to pinpoint the extremes in intraday momentum.

As the market tries to bottom after a sell off, there are gradually more candles with green bodies, even though prices remain in a narrow range. IMI can be used to detect this shift, because its values will increase towards 70. Similarly, as the market begins to top, there will be more red candles, causing IMI to decline towards 20. When the market is in trading range, IMI values will be in the neutral range of 40 to 60.

Usually intraday momentum leads interday momentum. QStick can show interday momentum, it complements IMI. You will find it in my published indicators.

I have added volatility bands based OB/OS, in addition to static OB/OS levels. You can also turn on IMI Ehlers smoothing. BTW, all parameters are configurable, so do check out the options page.

List of my other indicators:
- - Google doc: docs.google.com...ByMEvm5MLo/edit?usp=sharin...

List of my free indicators: bit.ly/1LQaPK8
List of my indicators at Appstore: blog.tradingview.com/?p=970
Skrip open-source

Dalam semangat TradingView, penulis dari skrip ini telah mempublikasikannya ke sumber-terbuka, maka trader dapat mengerti dan memverifikasinya. Semangat untuk penulis! Anda dapat menggunakannya secara gratis, namun penggunaan kembali kode ini dalam publikasi diatur oleh Tata Tertib. Anda dapat memfavoritkannya untuk digunakan pada chart

Pernyataan Penyangkalan

Informasi dan publikasi tidak dimaksudkan untuk menjadi, dan bukan merupakan saran keuangan, investasi, perdagangan, atau rekomendasi lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Persyaratan Penggunaan.

Inggin menggunakan skrip ini pada chart?
//
// @author LazyBear 
// List of all my indicators: https://www.tradingview.com/v/4IneGo8h/
//
study("Intrady Momentum Index [LazyBear]", shorttitle="IMI_LB")
length=input(14, "IMI Length")
lengthMA=input(6, "IMI MA Length")
obLevel=input(70, "IMI static OB level")
osLevel=input(20, "IMI static OS level")
mult=input(2.0, title="Volatility Bands Stdev Mult")
lengthBB=input(20, title="Volatility Bands Length")
applySmoothing=input(false, "Smooth IMI")
lowBand=input(10, "Smoothing LowerBand")
PI=3.14159265359
EhlersSuperSmootherFilter(price, lower) =>
	a1 = exp(-PI * sqrt(2) / lower)
	coeff2 = 2 * a1 * cos(sqrt(2) * PI / lower)
	coeff3 = - pow(a1,2)
	coeff1 = 1 - coeff2 - coeff3
	filt = coeff1 * (price + nz(price[1])) / 2 + coeff2 * nz(filt[1]) + coeff3 * nz(filt[2]) 
	filt

gains=iff(close>open,nz(gains[1])+(close-open),0)
losses=iff(close<open,nz(losses[1])+(open-close),0)
upt=sum(gains,length)
dnt=sum(losses,length)
imi=applySmoothing ? EhlersSuperSmootherFilter(100*(upt/(upt+dnt)), lowBand) : 100*(upt/(upt+dnt))
basisx=ema(imi, lengthBB)
devx = (mult * stdev(imi, lengthBB))
ulx = (basisx + devx)
llx = (basisx - devx)

// Uncomment if you want more bands
//hline(90)
//hline(10)
hline(obLevel)
hline((obLevel+osLevel)/2, linestyle=dotted)
hline(osLevel)
plot(imi, color=red, linewidth=2)
plot(imi>=ulx? imi : na, color=green, style=cross, linewidth=3 )
plot(imi<=llx? imi : na, color=maroon, style=cross, linewidth=3 )
plot(ema(imi, lengthMA), color=blue)