mirror of
https://github.com/mihakralj/QuanTAlib.git
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Miha Kralj
45 lines
1.4 KiB
Plaintext
45 lines
1.4 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("Intraday Momentum Index (IMI)", "IMI", overlay=false)
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//@function Calculates IMI using intraday price ranges (open vs close)
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//@param period Number of bars used in the calculation
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//@returns IMI value (0-100)
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//@optimized Uses circular buffer for O(1) per-bar complexity
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imi(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 gain = 0.0
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float loss = 0.0
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if close > open
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gain := close - open
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else if close < open
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loss := open - close
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var array<float> gain_buffer = array.new_float(period, 0.0)
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var array<float> loss_buffer = array.new_float(period, 0.0)
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var int idx = 0
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var float gain_sum = 0.0
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var float loss_sum = 0.0
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gain_sum -= array.get(gain_buffer, idx)
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loss_sum -= array.get(loss_buffer, idx)
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array.set(gain_buffer, idx, gain)
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array.set(loss_buffer, idx, loss)
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gain_sum += gain
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loss_sum += loss
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idx := (idx + 1) % period
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float total = gain_sum + loss_sum
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float imi_value = total != 0.0 ? 100.0 * gain_sum / total : 50.0
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imi_value
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// ---------- Main loop ----------
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// Inputs
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i_period = input.int(14, "Period", minval=1, tooltip="Number of bars used in the calculation")
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// Calculate IMI
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imi_value = imi(i_period)
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// Plot
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plot(imi_value, "IMI", color=color.yellow, linewidth=2)
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