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https://github.com/mihakralj/QuanTAlib.git
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71 lines
2.4 KiB
Plaintext
71 lines
2.4 KiB
Plaintext
// The MIT License (MIT)
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// © mihakralj
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//@version=6
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indicator("MCNMA - McNicholl EMA", "MCNMA", overlay=true)
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// ── Functions ──────────────────────────────────────────────────────────
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// @function Calculates the McNicholl EMA (Zero-Lag TEMA).
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// Dennis McNicholl, "Better Bollinger Bands," Futures Magazine, October 1998.
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// MCNMA = 2*TEMA(src,N) - TEMA(TEMA(src,N),N) where
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// TEMA(x,N) = 3*EMA1 - 3*EMA2 + EMA3.
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// Six cascaded EMA stages total, each with warmup compensation.
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// @param source Series to smooth
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// @param period Lookback period (must be > 0)
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// @returns McNicholl EMA value, valid from bar 1
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export mcnma(series float source, simple int period) =>
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if period <= 0
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runtime.error("Period must be greater than 0")
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float src = nz(source)
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float alpha = 2.0 / (period + 1)
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float beta = 1.0 - alpha
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var float e1 = 0.0
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var float e2 = 0.0
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var float e3 = 0.0
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var float e4 = 0.0
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var float e5 = 0.0
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var float e6 = 0.0
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var float e_decay = 1.0
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var int n = 0
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n += 1
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e_decay *= beta
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float comp = 1.0 / (1.0 - e_decay)
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e1 += alpha * (src - e1)
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float c1 = e1 * comp
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e2 += alpha * (c1 - e2)
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float c2 = e2 * comp
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e3 += alpha * (c2 - e3)
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float c3 = e3 * comp
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float tema1 = 3.0 * c1 - 3.0 * c2 + c3
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e4 += alpha * (tema1 - e4)
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float c4 = e4 * comp
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e5 += alpha * (c4 - e5)
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float c5 = e5 * comp
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e6 += alpha * (c5 - e6)
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float c6 = e6 * comp
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float tema2 = 3.0 * c4 - 3.0 * c5 + c6
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float result = 2.0 * tema1 - tema2
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result
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// ── Inputs ─────────────────────────────────────────────────────────────
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int i_period = input.int(14, "Period", minval=1)
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string i_source = input.source(close, "Source")
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// ── Calculation ────────────────────────────────────────────────────────
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float value = mcnma(i_source, i_period)
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// ── Plot ───────────────────────────────────────────────────────────────
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plot(value, "MCNMA", color.yellow, 2)
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