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QuanTAlib/lib/volume/eom/eom.pine
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Miha Kralj 24e86d762a Add documentation links for various volatility indicators and channels
- Updated BBWN, BBWP, CCV, CV, CVI, EWMA, GKV, HLV, HV, Jvolty, JVOLTYN, MASSI, NATR, RSV, RV, RVI, TR, UI, VOV, VR, YZV indicators with documentation links.
- Added documentation links for Aberration, Acceleration Bands, Andrews' Pitchfork, Adaptive Price Zone, ATR Bands, Bollinger Bands, Center of Gravity, Donchian Channels, Decay Min-Max Channel, Detrended Synthetic Price, EACP, EBSW, HOMOD, Jurik Volatility Bands, Keltner Channel, MA Envelope, Min-Max Channel, Price Channel, Regression Channels, Standard Deviation Channel, Stoller Average Range Channel, Super Trend Bands, Ultimate Bands, Ultimate Channel, VWAP Bands, and VWAP with Standard Deviation Bands.
2026-02-18 11:55:48 -08:00

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// The MIT License (MIT)
// © mihakralj
//@version=6
indicator("Ease of Movement (EOM)", "EOM", overlay=false)
//@function Calculate Ease of Movement Volume
//@param i_length integer Length for box ratio calculation
//@param i_smoothing integer Smoothing length for EOM
//@returns float Ease of Movement value
//@optimized for performance and dirty data
eom(i_smoothing, i_vol_scale, i_high=high, i_low=low, i_volume=volume) =>
if i_smoothing < 1 or i_vol_scale <= 0
runtime.error("Smoothing or Volume scale out or range")
var float oldMidPoint = na
midPoint = (i_high + i_low) * 0.5
midPointChange = midPoint - nz(oldMidPoint, midPoint)
oldMidPoint := midPoint
priceRange = i_high - i_low
boxRatio = priceRange > 0 and i_volume > 0 ? (i_volume / i_vol_scale) / priceRange : na
rawEom = not na(boxRatio) and boxRatio != 0 ? midPointChange / boxRatio : 0.0
var array<float> buffer = array.new_float(i_smoothing, 0.0)
var int head = 0
var float sum = 0.0
float oldest = array.get(buffer, head)
if bar_index >= i_smoothing
sum -= oldest
currentValue = nz(rawEom)
sum += currentValue
array.set(buffer, head, currentValue)
head := (head + 1) % i_smoothing
average = bar_index < i_smoothing ? sum / (bar_index + 1) : sum / i_smoothing
average
// ---------- Main loop ----------
// Inputs
i_length = input.int(14, "Period", minval=1)
i_smoothing = input.int(14, "Smoothing", minval=1)
// Calculation
eomValue = eom(i_length, i_smoothing)
// Plot
plot(eomValue, "EOM", color=color.yellow, linewidth=2)