1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
RSI with Boll %B builds an RSI centred on zero with a short default length, smooths it with an EMA, and measures how far the RSI sits from that average in standard-deviation units, similar to Bollinger %B. Dashed lines mark plus and minus 0.8, with gradient fills beyond them. Optional breakout conditions trigger oversold and overbought alerts when the normalised value and raw RSI both reach set thresholds.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
RSI Length
int
6
rsiLength
RSI Source
source
hlc3
rsiSource
MA Length
int
14
rsiMALength
Boll StdDev
float
2.0
rsiBollMult
Show Breakout
bool
true
showBreakout
Breakout Value Low
float
0.9
rsiDivBreakLow
Breakout Value High
float
1.4
rsiDivBreakHigh
RSI Raw Breakout Value
int
25
rsiRawBreak
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
This indicator calculates standardized z-scores of price data across four different lookback periods (6, 14, 26, and 100). Standardizing data subtracts the moving average from the price and divides by the standard deviation. It applies a Double Exponential Mov
This indicator calculates normalized percentage bounds around price highs and lows to anticipate local trend reversals. It oscillates within a fixed -1 to 1 channel and plots two boundary tracking curves alongside a background Karobein oscillator histogram for
This indicator calculates the statistical autocorrelation coefficient of an input series over a user-defined lookback window at a specified lag. It tracks values using an internal circular buffer, computes sample mean, variance, and autocovariance, and normali
The Pretty Good Oscillator calculates the distance between the selected price source and its simple moving average, normalized by the Average True Range over a specified period. It renders as an oscillator line in a separate pane alongside a zero line and thre
Calculates a composite carry and decay oscillator fusing impulse-autocorrelation half-life, a Hurst exponent approximation, path efficiency, and range expansion ratios. It evaluates whether an impulse is likely to persist or mean-revert, plotting the oscillato
This indicator measures statistical price deviations using the mean and standard deviation of logarithmic price. Plotted in a separate pane, it identifies overvalued and undervalued market conditions relative to a calculated fair-value baseline. Standard devia