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QuanTAlib/lib/trends_IIR/rma/rma.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("Wilder's Moving Average (RMA)", "RMA", overlay=true)
//@function Calculates Welles Wilder's Relative Moving Average (RMA/SMMA)
//@doc https://github.com/mihakralj/pinescript/blob/main/indicators/trends_IIR/rma.md
//@param source Series to calculate RMA from
//@param period Smoothing period
//@returns RMA value from first bar with proper compensation for early values
//@optimized Uses exponential warmup compensator with Wilder's alpha (1/period) for O(1) complexity
rma(series float source, simple int period) =>
if period <= 0
runtime.error("Period must be provided")
float a = 1.0 / float(period)
float beta = 1.0 - a
var bool warmup = true
var float e = 1.0
var float ema = 0.0
var float result = source
ema := a * (source - ema) + ema
if warmup
e *= beta
float c = 1.0 / (1.0 - e)
result := c * ema
warmup := e > 1e-10
else
result := ema
result
// ---------- Main loop ----------
// Inputs
i_period = input.int(10, "Period", minval=1)
i_source = input.source(close, "Source")
// Calculation
rma_value = rma(i_source, i_period)
// Plot
plot(rma_value, "RMA", color=color.yellow, linewidth=2)