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https://github.com/mihakralj/QuanTAlib.git
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Miha Kralj
35a6702b06
Deep review of all indicator categories verified .md headers against .cs WarmupPeriod, parameters, inputs, and outputs. Fixes include warmup corrections, parameter documentation, output type accuracy, and Pine Script alignment.
39 lines
1.3 KiB
Plaintext
39 lines
1.3 KiB
Plaintext
// Licensed under the Apache License, Version 2.0
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// © mihakralj
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//@version=6
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indicator("Normalized Average True Range", "NATR", overlay=false, format=format.percent, precision=2)
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//@function Calculates the Normalized Average True Range (NATR)
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//@param length The period length for the ATR calculation.
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//@returns The NATR value as a percentage of close price.
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//@optimized Beta precomputation for RMA warmup compensation
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natr(simple int length) =>
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float prevClose = nz(close[1], close)
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float tr1 = high - low
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float tr2 = math.abs(high - prevClose)
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float tr3 = math.abs(low - prevClose)
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float trueRange = math.max(tr1, math.max(tr2, tr3))
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float alpha = 1.0 / float(length)
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float beta = 1.0 - alpha
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var float EPSILON = 1e-10
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var float raw_rma = 0.0
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var float e = 1.0
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float atrValue = na
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if not na(trueRange)
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raw_rma := (raw_rma * (length - 1) + trueRange) / length
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e *= beta
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atrValue := e > EPSILON ? raw_rma / (1.0 - e) : raw_rma
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float natrValue = close != 0 ? (atrValue / close) * 100 : 0
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natrValue
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// ---------- Main loop ----------
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// Inputs
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i_length = input.int(14, "Length", minval=1, tooltip="Number of bars used for the ATR calculation")
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// Calculation
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natrValue = natr(i_length)
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// Plot
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plot(natrValue, "NATR", color=color.yellow, linewidth=2)
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