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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.
50 lines
1.9 KiB
Plaintext
50 lines
1.9 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("Elder's Thermometer", "ETHERM", overlay=false)
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//@function Calculates Elder's Market Thermometer with EMA signal line
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//@param period The EMA smoothing period for the signal line
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//@returns [thermometer, signal] The raw thermometer value and EMA signal line
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//@optimized Beta precomputation for EMA warmup compensation
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etherm(simple int period) =>
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// Step 1: Calculate raw thermometer value
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// Temperature = max of upward high protrusion and downward low protrusion
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// Only outward extensions count; contractions clamp to zero
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float prevHigh = nz(high[1], high)
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float prevLow = nz(low[1], low)
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float highDiff = math.max(high - prevHigh, 0.0)
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float lowDiff = math.max(prevLow - low, 0.0)
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float temp = math.max(highDiff, lowDiff)
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// Step 2: EMA of thermometer with warmup compensation
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float alpha = 2.0 / float(period + 1)
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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_ema = 0.0
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var float e = 1.0
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float signal = na
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if not na(temp)
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raw_ema := raw_ema * beta + temp * alpha
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e *= beta
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signal := e > EPSILON ? raw_ema / (1.0 - e) : raw_ema
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[temp, signal]
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// ---------- Main loop ----------
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// Inputs
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i_period = input.int(22, "EMA Period", minval=1, tooltip="Number of bars for the EMA signal line")
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i_multiplier = input.float(3.0, "Explosive Threshold", minval=0.1, step=0.5, tooltip="Multiplier for explosive move detection")
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// Calculation
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[thermValue, signalValue] = etherm(i_period)
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// Colors
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bool isExplosive = thermValue >= signalValue * i_multiplier
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bool isHot = thermValue >= signalValue
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color thermColor = isExplosive ? color.red : isHot ? color.orange : color.new(color.blue, 30)
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// Plot
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plot(thermValue, "Thermometer", color=thermColor, style=plot.style_histogram, linewidth=2)
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plot(signalValue, "Signal", color=color.yellow, linewidth=2) |