This indicator plots a TTM Squeeze momentum oscillator in a separate pane. It compares a Bollinger Band offset to a Keltner Channel offset and marks the zero line white when the difference is non-negative and black when the bands are inside the channel. A line
Indicator · Pine Script v5 · Own pane
RSI Impact Heat Map [Trendoscope]
This indicator analyzes and visualizes the statistical price impact following specific Relative Strength Index (RSI) trigger conditions.
GitHub stars2on the repository
Pine versionv5runs as is
Lines of code100
Settings10inputs
LicenceNone statedfile: MPL-2.0
Last update8 months ago25 Feb 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 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
100 lines of Pine Script v5 from pinescript/editors_picks/rsi-impact-heat-map-trendoscope.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © HeWhoMustNotBeNamed
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//@version=5
indicator("RSI Impact Heat Map [Trendoscope]", "RSIHM[Trendoscope]", overlay = false)
rsiSource = input.source(close, 'Source', inline='r', group='RSI')
rsiLength = input.int(14, '', 5, 200, 5, inline='r', group='RSI', tooltip = 'RSI configuration')
rsiTrigger = input.string('Crossover', 'Trigger', ['Crossover', 'Crossunder'], inline='rt', group = 'RSI')
rsiTriggerValue = input.int(70, '', 0, 100, 5, inline='rt', group = 'RSI', tooltip = 'Trigger for which we need to plot the impact')
impactDuration = input.int(20, 'Duration', 0, 500, 10, group='Impact', tooltip = 'Duration for which impact needs to be measured')
reference = input.string('ATR', 'Reference', ['ATR', 'Percentage'], group='Impact', tooltip='Reference on which the impact is measured')
matrixSize = input.int(50, 'Heat Map Size', 10, 90, 10, group='Display', tooltip = 'Number of rows, columns for heat map matrix')
outliersPercentile = input.int(95, 'Outliers Percentile', 50, 100, 5, group='Display', tooltip = 'Percentile to filter outliers. Value of 95 means, 95th percentile is considered as max displacement')
backgroundColor = input.color(color.rgb(0,0,0,0), 'Background', group='Display', tooltip = 'Background color')
heatmapColor = input.color(color.red, 'Heatmap', group='Display', tooltip = 'Heatmap color')
type Event
float xValue
float yValue
var array<Event> events = array.new<Event>()
rsi = ta.rsi(rsiSource, rsiLength)
trigger = rsiTrigger == 'Crossover' ? ta.crossover(rsi, rsiTriggerValue) : ta.crossunder(rsi, rsiTriggerValue)
atr = ta.atr(rsiLength)
highest = ta.highest(impactDuration-1)
lowest = ta.lowest(impactDuration-1)
var array<float> displacements = array.new<float>()
if(trigger[impactDuration])
price = close[impactDuration]
positiveDisplacement = math.abs(highest-price)
negativeDisplacement = math.abs(price-lowest)
xValue = reference == 'ATR'? positiveDisplacement/atr[impactDuration] : reference == 'Percentage' ? positiveDisplacement/price : positiveDisplacement
yValue = reference == "ATR"? negativeDisplacement/atr[impactDuration] : reference == 'Percentage' ? negativeDisplacement/price : negativeDisplacement
array.push(displacements, xValue)
array.push(displacements, yValue)
Event event = Event.new(xValue, yValue)
array.push(events, event)
if(barstate.isfirst)
var titleTable = table.new(position.top_center, 2, 3, color.maroon, color.maroon, 1, color.maroon, 1)
title = 'Impact of RSI('+str.tostring(rsiLength)+') '+rsiTrigger+' '+str.tostring(rsiTriggerValue)+ ' after '+str.tostring(impactDuration)+ ' bars measured in terms of '+reference
table.cell(titleTable, 0, 0, title, text_color = color.white)
if(barstate.islast)
matrix<int> counts = matrix.new<int>(matrixSize+1, matrixSize+1, 0)
maxRange = array.percentile_linear_interpolation(displacements, outliersPercentile)
for event in events
xIndex = math.min(int(event.xValue*matrixSize/maxRange), matrixSize)
yIndex = matrixSize - math.min(int(event.yValue*matrixSize/maxRange), matrixSize)
matrix.set(counts, xIndex, yIndex, matrix.get(counts, xIndex, yIndex)+1)
var heatmap = table.new(position.middle_center, matrixSize+1, matrixSize+1, backgroundColor, color.yellow, 1, backgroundColor, 0)
table.clear(heatmap, 0, 0, matrixSize, matrixSize)
maxCount = matrix.max(counts)
totalCount = array.size(events)
sums = array.new<int>(4,0)
for [i, columns] in counts
for [j, count] in columns
countPercent = int(count*90/maxCount)
sumIndex = 2*(i < ((matrixSize+1)/2) ? 0 : 1) + (j < ((matrixSize+1)/2)? 0: 1)
array.set(sums, sumIndex, array.get(sums, sumIndex)+count)
xRange = 'Positive Displaecment : ' + (reference == 'Percentage'? str.tostring(maxRange*i*100/matrixSize, format.percent) : (str.tostring(maxRange*i/matrixSize, format.mintick) + 'X'))
+ ' - '+ ((i==matrixSize)? '' :
(reference == 'Percentage'? str.tostring(maxRange*(i+1)*100/matrixSize, format.percent) : (str.tostring(maxRange*(i+1)/matrixSize, format.mintick) + 'X')))
yRange = 'Negative Displacement : ' + (reference == 'Percentage'? str.tostring(maxRange*(matrixSize-j)*100/matrixSize, format.percent) : (str.tostring(maxRange*(matrixSize-j)/matrixSize, format.mintick) + 'X'))
+ ' - '+ ((j==matrixSize)? '' :
(reference == 'Percentage'? str.tostring(maxRange*(matrixSize-j+1)*100/matrixSize, format.percent) : (str.tostring(maxRange*(matrixSize-j+1)/matrixSize, format.mintick) + 'X')))
tooltip = 'Count '+str.tostring(count)+'/'+str.tostring(totalCount)+'\n'+xRange+'\n'+yRange+'\n('+str.tostring(i)+','+str.tostring(j)+')'
table.cell(heatmap, i, j, '', width=1, height = 1, text_color=color.yellow, bgcolor = color.new(heatmapColor, countPercent==0? 100 : 90-countPercent), text_size = size.tiny, tooltip = tooltip)
var positions = array.from(position.top_left, position.bottom_left, position.top_right, position.bottom_right)
for [i, sum] in sums
tab = table.new(array.get(positions, i), 1,1, color.teal, color.teal, 1, color.teal, 1)
table.cell(tab, 0, 0, str.tostring(sum), text_color = color.white, text_size = size.large)
Overview
When the RSI crosses over or under a defined threshold level, the script measures post-trigger price movements across a specified duration, normalized against references like ATR. It then plots a heat map matrix in a separate pane depicting the distribution and concentration of subsequent price paths. Users can customize RSI settings, trigger types and values, impact duration, outlier percentiles, and matrix dimensions.
- Relative Strength Index threshold event tracking
- Post-trigger price impact measurement
- ATR-normalized heat map matrix visualization
- Configurable outlier filtering and matrix dimensions
Details
Published by
regalouisei on GitHub
Code credit
HeWhoMustNotBeNamed, as written in the script's header
Type
Indicator, Pine Script v5
Draws
Separate pane below the chart
Category
Oscillators & momentum, Volatility & bands
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.
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Source | source | close | rsiSource |
| rsiLength | int | 14 | rsiLength |
| Trigger | string | Crossover | rsiTrigger |
| rsiTriggerValue | int | 70 | rsiTriggerValue |
| Duration | int | 20 | impactDuration |
| Reference | string | ATR | reference |
| Heat Map Size | int | 50 | matrixSize |
| Outliers Percentile | int | 95 | outliersPercentile |
| Background | color | color.rgb(0,0,0,0) | backgroundColor |
| Heatmap | color | color.red | heatmapColor |
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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