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("McGinley Dynamic Indicator (MGDI)", "MGDI", overlay=true)
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//@function Calculates MGDI using dynamic factor based on price movement
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//@param source Series to calculate MGDI from
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//@param period Lookback period for initial SMA value
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//@param factor McGinley factor (default 0.6)
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//@returns MGDI value that tracks price movements more closely than EMAs
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//@optimized Uses adaptive smoothing with O(1) complexity after initialization
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mgdi(series float source, simple int period, simple float factor=0.6) =>
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var float mgdi_val = na
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if not na(source)
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if na(mgdi_val)
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float sum = 0.0
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int count = 0
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for i = 0 to period - 1
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if not na(source[i])
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sum += source[i]
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count += 1
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mgdi_val := count > 0 ? sum / count : source
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else
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if math.abs(mgdi_val) < 1e-10
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mgdi_val := source
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else
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float ratio = source / mgdi_val
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float denom = factor * period * math.pow(ratio, 4)
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denom := math.sign(denom) * math.max(0.001, math.abs(denom))
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mgdi_val := mgdi_val + (source - mgdi_val) / denom
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mgdi_val
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// ---------- Main loop ----------
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// Inputs
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i_period = input.int(10, "Period", minval=1)
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i_factor = input.float(0.6, "Factor", minval=0.01, maxval=5.0, step=0.01)
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i_source = input.source(close, "Source")
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// Calculation
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mgdi_value = mgdi(i_source, i_period, i_factor)
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// Plot
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plot(mgdi_value, "MGDI", color=color.yellow, linewidth=2)
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