Files
QuanTAlib/lib/dynamics/imi/imi.pine
T
Miha Kralj 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

46 lines
1.4 KiB
Plaintext

// The MIT License (MIT)
// © mihakralj
//@version=6
indicator("Intraday Momentum Index (IMI)", "IMI", overlay=false)
//@function Calculates IMI using intraday price ranges (open vs close)
//@doc https://github.com/mihakralj/pinescript/blob/main/indicators/dynamics/imi.md
//@param period Number of bars used in the calculation
//@returns IMI value (0-100)
//@optimized Uses circular buffer for O(1) per-bar complexity
imi(simple int period) =>
if period <= 0
runtime.error("Period must be greater than 0")
float gain = 0.0
float loss = 0.0
if close > open
gain := close - open
else if close < open
loss := open - close
var array<float> gain_buffer = array.new_float(period, 0.0)
var array<float> loss_buffer = array.new_float(period, 0.0)
var int idx = 0
var float gain_sum = 0.0
var float loss_sum = 0.0
gain_sum -= array.get(gain_buffer, idx)
loss_sum -= array.get(loss_buffer, idx)
array.set(gain_buffer, idx, gain)
array.set(loss_buffer, idx, loss)
gain_sum += gain
loss_sum += loss
idx := (idx + 1) % period
float total = gain_sum + loss_sum
float imi_value = total != 0.0 ? 100.0 * gain_sum / total : 50.0
imi_value
// ---------- Main loop ----------
// Inputs
i_period = input.int(14, "Period", minval=1, tooltip="Number of bars used in the calculation")
// Calculate IMI
imi_value = imi(i_period)
// Plot
plot(imi_value, "IMI", color=color.yellow, linewidth=2)