feat: add new indicators (Decay, Edecay, MinusDi, MinusDm, PlusDi, PlusDm, Maxindex, Minindex, Sarext) and update pine scripts, core libs, validation tests, and python bindings
2026-03-09 13:45:46 -07:00
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// Licensed under the Apache License, Version 2.0
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2026-01-18 19:02:03 -08:00
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// © mihakralj
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//@version=6
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indicator("Logarithmic Transformation (LOG)", "Logtrans", overlay=false)
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//@function Applies a natural logarithmic transformation (y = ln(x)) to the input series.
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//@param source series float The input series to transform. Must contain positive values.
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//@returns series float The logarithmically transformed series. Returns na if source <= 0.
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//@optimized for performance and dirty data
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logT(series float source) =>
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if na(source)
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fix(docs): correct .md documentation across errors, dynamics, filters, forecasts, momentum, numerics, oscillators, reversals, statistics, trends, volatility, volume
2026-03-10 18:38:23 -07:00
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na
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else if source <= 0
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2026-01-18 19:02:03 -08:00
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na
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else
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math.log(source)
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// ---------- Main loop ----------
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// Inputs
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fix(docs): correct .md documentation across errors, dynamics, filters, forecasts, momentum, numerics, oscillators, reversals, statistics, trends, volatility, volume
2026-03-10 18:38:23 -07:00
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i_source = input.source(close, "Source")
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2026-01-18 19:02:03 -08:00
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// Calculation
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transformedSource = logT(i_source)
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// Plot
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fix(docs): correct .md documentation across errors, dynamics, filters, forecasts, momentum, numerics, oscillators, reversals, statistics, trends, volatility, volume
2026-03-10 18:38:23 -07:00
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plot(transformedSource, "Logtrans", color=color.yellow, linewidth=2)
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