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Asymmetrical RSI is an indicator that computes a custom relative strength index from the rate of change of a user-selected source. It plots the resulting ARSI line in a separate pane with color coding that turns green above the overbought level and red below t
Indicator · Pine Script v5 · Own pane
Language support probe r1
This indicator acts as a test probe to verify Pine Script v5 language features within an offline engine.
GitHub stars1on the repository
Pine versionv5runs as is
Lines of code40
Settings1inputs
LicenceMIT
Last update7 days ago23 Oct 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
40 lines of Pine Script v5 from packages/golden/fixtures/indicator/v5/I_language_support__enum_override/source.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
//@version=5
indicator("Language support probe r1")
enum Average
sma = "Simple average"
ema = "Exponential average"
none
selected = input.enum(Average.sma, "Average", options=[Average.sma, Average.ema])
selectedCode = selected == Average.sma ? 1 : selected == Average.ema ? 2 : 3
current = bar_index % 2 == 0 ? Average.sma : Average.ema
identity(Average value) => value
values = array.from(current, Average.none)
plot(1, "revision")
plot(bar_index, "probe_index")
plot(selectedCode, "enum_input")
plot(str.tostring(Average.sma) == "Simple average" ? 1 : 0, "enum_title")
plot(str.tostring(Average.none) == "none" ? 1 : 0, "enum_untitled")
plot(identity(current) == current ? 1 : 0, "enum_function")
plot(values.get(0) == current ? 1 : 0, "enum_collection")
plot(current[1] == Average.sma ? 1 : 0, "enum_history")
m = matrix.new<float>(2, 2, 0.0)
m.set(0, 0, 2.0)
m.set(0, 1, 1.0)
m.set(1, 0, 1.0)
m.set(1, 1, 2.0)
plot(m.eigenvalues().get(0), "symmetric_0")
plot(m.eigenvalues().get(1), "symmetric_1")
d = matrix.new<float>(3, 3, 0.0)
d.set(0, 0, 4.0)
d.set(1, 1, -2.0)
d.set(2, 2, 1.0)
plot(d.eigenvalues().get(0), "diagonal_0")
plot(d.eigenvalues().get(1), "diagonal_1")
plot(d.eigenvalues().get(2), "diagonal_2")
n = matrix.new<float>(2, 2, 0.0)
n.set(0, 0, 1.0)
n.set(0, 1, 2.0)
n.set(1, 0, 3.0)
n.set(1, 1, 4.0)
plot(n.eigenvalues().get(0), "nonsymmetric_0")
plot(n.eigenvalues().get(1), "nonsymmetric_1")
Overview
Language support probe r1 tests custom enum declarations, enum inputs, string formatting, functions, collections, and historical enum referencing. In addition, it constructs symmetric, diagonal, and non-symmetric float matrices to compute and plot their eigenvalues alongside various boolean status checks. Drawn in a separate pane, the indicator includes an enum selection setting for average types. It is designed purely for engine verification and language compatibility rather than trading analysis.
- Custom enum declaration and input testing
- Matrix eigenvalue calculation tests
- Historical indexing and array validation
- Separate pane test status plotting
Details
Published by
GammaExpansion on GitHub
Type
Draws
Separate pane below the chart
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 |
|---|---|---|---|
| Average | enum | Average.sma | selected |
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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