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:
drive.google.co...mNrZUY1dTA/edit?usp=sharin...

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

List of my free indicators: bit.ly/1LQaPK8
List of my indicators at Appstore: blog.tradingview.com/?p=970
开源脚本

本着真正的TradingView精神,该脚本的作者将其开源发布,以便交易者可以理解和验证它。为作者喝彩!您可以免费使用它,但在出版物中重复使用此代码受网站规则的约束。 您可以收藏它以在图表上使用。

免责声明

这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。

想在图表上使用此脚本?
//
// @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)