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:

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

List of my free indicators:
List of my indicators at Appstore:
Script open-source

Dans le véritable esprit de TradingView, l'auteur de ce script l'a publié en open-source, afin que les traders puissent le comprendre et le vérifier. Bravo à l'auteur! Vous pouvez l'utiliser gratuitement, mais la réutilisation de ce code dans une publication est régie par le règlement. Vous pouvez le mettre en favori pour l'utiliser sur un graphique.

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Les informations et les publications ne sont pas destinées à être, et ne constituent pas, des conseils ou des recommandations en matière de finance, d'investissement, de trading ou d'autres types de conseils fournis ou approuvés par TradingView. Pour en savoir plus, consultez les Conditions d'utilisation.

Vous voulez utiliser ce script sur un graphique ?
// @author LazyBear 
// List of all my indicators:
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")
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)