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QuanTAlib/lib/trends_IIR/mgdi/mgdi.pine
T
86fe32a682 SIMD Refactor: Merge simd-dev into dev (#55)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
Co-authored-by: Warp <agent@warp.dev>
2026-01-18 19:02:03 -08:00

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// The MIT License (MIT)
// © mihakralj
//@version=6
indicator("McGinley Dynamic Indicator (MGDI)", "MGDI", overlay=true)
//@function Calculates MGDI using dynamic factor based on price movement
//@doc https://github.com/mihakralj/pinescript/blob/main/indicators/trends_IIR/mgdi.md
//@param source Series to calculate MGDI from
//@param period Lookback period for initial SMA value
//@param factor McGinley factor (default 0.6)
//@returns MGDI value that tracks price movements more closely than EMAs
//@optimized Uses adaptive smoothing with O(1) complexity after initialization
mgdi(series float source, simple int period, simple float factor=0.6) =>
if period <= 0
runtime.error("Period must be greater than 0")
if factor <= 0
runtime.error("Factor must be greater than 0")
var float mgdi_val = na
if not na(source)
if na(mgdi_val)
float sum = 0.0
int count = 0
for i = 0 to period - 1
if not na(source[i])
sum += source[i]
count += 1
mgdi_val := count > 0 ? sum / count : source
else
if math.abs(mgdi_val) < 1e-10
mgdi_val := source
else
float ratio = source / mgdi_val
float denom = factor * period * math.pow(ratio, 4)
denom := math.sign(denom) * math.max(0.001, math.abs(denom))
mgdi_val := mgdi_val + (source - mgdi_val) / denom
mgdi_val
// ---------- Main loop ----------
// Inputs
i_period = input.int(10, "Period", minval=1)
i_factor = input.float(0.6, "Factor", minval=0.01, maxval=5.0, step=0.01)
i_source = input.source(close, "Source")
// Calculation
mgdi_value = mgdi(i_source, i_period, i_factor)
// Plot
plot(mgdi_value, "MGDI", color=color.yellow, linewidth=2)