Indicator · Pine Script v5 · Own pane

Swami Chart RSI - John F. Ehlers

by palitojendthen

This indicator plots a Swami Chart of relative strength index values in a separate pane.

View on GitHub

GitHub stars20on the repository
Pine versionv5runs as is
Lines of code174
Settings3inputs
LicenceNone statedfile: MPL-2.0
Last update1 year ago12 Jul 2025

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

174 lines of Pine Script v5 from indicator/swami_rsi.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

swami_rsi.pine
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © palitoj_endthen

//@version=5
indicator(title = 'Swami Chart RSI - John F. Ehlers', shorttitle = 'swami_rsi', overlay = false)


// input
hp_period = input.int(defval = 48, title = 'High-Pass Period', group = 'Value', tooltip = 'Determines the length of High-Pass Period')
show_confirmation = input.bool(defval = true, title = 'Confirmation', group = 'Options', tooltip = 'Determines whether to display confirmation line', inline = 'f')
apply_hp_filter = input.bool(defval = false, title = 'High-Pass Filter', group = 'Options', tooltip = 'Determines whether to apply High-Pass filter', inline = 'f')


// variable
alpha1 = 0.00
hp = 0.00
a1 = 0.00
b1 = 0.00
c1 = 0.00
c2 = 0.00
c3 = 0.00
filt = 0.00
lookback = 0
close_up = 0.00
close_down = 0.00
denom = 0.00


// arrays
var ratio1 = array.new_float(50)
var ratio2 = array.new_float(50)
var rsi1 = array.new_float(50)
var rsi2 = array.new_float(50)
var rsi3 = array.new_float(50)


// highpass filter cyclic components whose periods are shorter than 48 bars
pi = 2*math.asin(1)
alpha1 := (math.cos(.707*2*pi/hp_period) + math.sin(.707*2*pi/hp_period) - 1) / math.cos(.707*2*pi/hp_period)
hp := (1-alpha1/2)*(1-alpha1/2)*(close-2*nz(close[1])+nz(close[2]))+2*(1-alpha1)*nz(hp[1])-(1-alpha1)*(1-alpha1)*nz(hp[2])

// smooth with a Super Smoother Filter
a1 := math.exp(-1.414*3.14159/10)
b1 := 2*a1*math.cos(1.414*180/10)
c2 := b1
c3 := -a1*a1
c1 := 1-c2-c3
filt := c1*((apply_hp_filter ? hp : close) + (apply_hp_filter ? hp[1] : close[1]))/2+c2*nz(filt[1])+c3*nz(filt[2]) 

// swami-rsi
for lookback = 2 to 48
    // range includes half the shortest periods of interest
    array.set(ratio2, lookback, nz(array.get(ratio1, lookback)))
    array.set(rsi3, lookback, nz(array.get(rsi2, lookback)))
    array.set(rsi2, lookback, nz(array.get(rsi1, lookback)))
    close_up := 0.0
    close_down := 0.0
    for count = 0 to lookback-1
        if filt[count] > filt[count+1]
            close_up := close_up+(filt[count]-filt[count+1])
        if filt[count] < filt[count+1]
            close_down := close_down+(filt[count+1]-filt[count])
    denom := close_up+close_down
    if denom != 0
        array.set(ratio1, lookback, close_up/denom)
    // smooth rsi with a 10 bar super smoother
    array.set(rsi1, lookback, c1*(nz(array.get(ratio1, lookback))+nz(array.get(ratio2, lookback)))/2+c2*nz(array.get(rsi2, lookback))+c3*nz(array.get(rsi3, lookback)))
    // ensure rsi doesnt fall outside color limits
    if nz(array.get(rsi1, lookback)) < 0
        array.set(rsi1, lookback, 0)
    if nz(array.get(rsi1, lookback)) > 1
        array.set(rsi1, lookback, 1)


// visualize as heatmap
col(n)=>
    if array.get(rsi1,n) > .5
        color.rgb(255*(2-2*array.get(rsi1, n)), 255, 0)
    else if array.get(rsi1, n) < .5
        color.rgb(255, 2*255*array.get(rsi1, n), 0)

n = 0

n := 1
plot(1, title = 'N1', color = col(n), linewidth = 8)

n := 2
plot(2, title = 'N2', color = col(n), linewidth = 8)

n := 4
plot(4, title = 'N4', color = col(n), linewidth = 8)

n := 6
plot(6, title = 'N6', color = col(n), linewidth = 8)

n := 8
plot(8, title = 'N8', color = col(n), linewidth = 8)

n := 10
plot(10, title = 'N10', color = col(n), linewidth = 8)

n := 11
plot(11, title = 'N11', color = col(n), linewidth = 8)

n := 12
plot(12, title = 'N12', color = col(n), linewidth = 8)

n := 14
plot(14, title = 'N14', color = col(n), linewidth = 8)

n := 16
plot(16, title = 'N16', color = col(n), linewidth = 8)

n := 18
plot(18, title = 'N18', color = col(n), linewidth = 8)

n := 20
plot(20, title = 'N20', color = col(n), linewidth = 8)

n := 21
plot(21, title = 'N21', color = col(n), linewidth = 8)

n := 22
plot(22, title = 'N22', color = col(n), linewidth = 8)

n := 24
plot(24, title = 'N24', color = col(n), linewidth = 8)

n := 26
plot(26, title = 'N26', color = col(n), linewidth = 8)

n := 28
plot(28, title = 'N28', color = col(n), linewidth = 8)

n := 30
plot(30, title = 'N30', color = col(n), linewidth = 8)

n := 31
plot(31, title = 'N31', color = col(n), linewidth = 8)

n := 32
plot(32, title = 'N32', color = col(n), linewidth = 8)

n := 34
plot(34, title = 'N34', color = col(n), linewidth = 8)

n := 36
plot(36, title = 'N36', color = col(n), linewidth = 8)

n := 38
plot(38, title = 'N38', color = col(n), linewidth = 8)

n := 40
plot(40, title = 'N40', color = col(n), linewidth = 8)

n := 41
plot(41, title = 'N41', color = col(n), linewidth = 8)

n := 42
plot(42, title = 'N42', color = col(n), linewidth = 8)

n := 44
plot(44, title = 'N44', color = col(n), linewidth = 8)

n := 46
plot(46, title = 'N46', color = col(n), linewidth = 8)

n := 48
plot(48, title = 'N48', color = col(n), linewidth = 8)

// confrimation line
line.new((bar_index-4), 3, (bar_index+2), 3, color = na)
line.new((bar_index-4), 25, (bar_index+2), 25, color = show_confirmation ? color.blue : na, width = 2)
line.new((bar_index-4), 46, (bar_index+2), 46, color = na)

Overview

Swami Chart RSI - John F. Ehlers calculates RSI-style up and down ratios for lookbacks from 2 to 48 bars, smooths them with a Super Smoother filter, and colors stacked horizontal plots as a heatmap. Values above one half appear in green-to-yellow shades and values below one half appear in yellow-to-red shades. The high-pass period sets the optional filter length, the high-pass filter switch chooses filtered or raw closes, and the confirmation option controls an extra confirmation line. It does not generate trade entries or exits.

Details

Published by

palitojendthen on GitHub

Type

Indicator, Pine Script v5

Draws

Separate pane below the chart

Category

Oscillators & momentum

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Topics

indicatortechnical-analysispinescripttrading-algorithms

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
High-Pass Periodint48hp_period
Confirmationbooltrueshow_confirmation
High-Pass Filterboolfalseapply_hp_filter
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.

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