LazyBear

RSI Bands, RSI %B and RSI Bandwidth

RSI bands provide an intuitive way of visualizing how the price movement causes RSI to move with in its range (0-100). Upper/Lower bands signify overbought and oversold levels respectively (Default: 70/30, you can customize them via options page). These bands closely match what Constance Brown explains in her book "Technical Analysis for the Trading Professional".

I have also coded up 2 scripts to visualize %B and Bandwidth, just as in BollingerBands. As you can see %B is equivalent to the actual RSI . Along with RSI_Bandwidth and %B, the bands convey a lot of information.

Another tip is to render Bollinger Bands along with RSIBands...endless possibilities :)

I have included all 3 scripts in the same chart, as they are all related. Since TradingView doesn't allow sharing more than one script in the same chart, you can only "Add script" RSI Bands.

If you want to use RSI %B and Bandwidth, follow this guide to "Make mine" this chart and get access to the source:
https://drive.google.com/file/d/0Bx48Du_...

For the complete list of my indicators, check this post:

List of my free indicators: http://bit.ly/1LQaPK8
List of my indicators at Appstore: http://blog.tradingview.com/?p=970
Açık kaynak kodlu komut dosyası

Gerçek TradingView ruhuyla, bu betiğin yazarı, yatırımcının anlayabilmesi ve doğrulayabilmesi için onu açık kaynak olarak yayınladı. Yazarın eline sağlık! Bunu ücretsiz olarak kullanabilirsiniz, ancak bu kodun bir yayında yeniden kullanımı Kullanım Koşulları ile yönetilir. Bir grafikte kullanmak için favorilere ekleyebilirsiniz.

Bu komut dosyasını bir grafikte kullanmak ister misiniz?
//
// @author LazyBear 
// List of all my indicators: https://www.tradingview.com/v/4IneGo8h/
//
study("RSI Bands [LazyBear]", shorttitle="RSIBANDS_LB", overlay=true)
obLevel = input(70, title="RSI Overbought")
osLevel = input(30, title="RSI Oversold")
length = input(14, title="RSI Length")
src=close
ep = 2 * length - 1
auc = ema( max( src - src[1], 0 ), ep )
adc = ema( max( src[1] - src, 0 ), ep )
x1 = (length - 1) * ( adc * obLevel / (100-obLevel) - auc)
ub = iff( x1 >= 0, src + x1, src + x1 * (100-obLevel)/obLevel )
x2 = (length - 1) * ( adc * osLevel / (100-osLevel) - auc)
lb = iff( x2 >= 0, src + x2, src + x2 * (100-osLevel)/osLevel )

plot( ub, title="Resistance", color=red, linewidth=2)
plot( lb, title="Support", color=green, linewidth=2)
plot( avg(ub, lb), title="RSI Midline", color=gray, linewidth=1)