Files
QuanTAlib/lib/momentum/cmo/cmo.pine
T
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

44 lines
1.4 KiB
Plaintext

// The MIT License (MIT)
// © mihakralj
//@version=6
indicator("Chande Momentum Oscillator (CMO)", "CMO", overlay=false)
//@function Calculates Chande Momentum Oscillator using circular buffer for efficiency
//@param src Source series to calculate CMO for
//@param len Lookback period for calculations
//@returns CMO value measuring momentum strength and direction
cmo(series float src, simple int len) =>
if len <= 0
runtime.error("Length must be greater than 0")
var float sum_up = 0.0, var float sum_down = 0.0
var array<float> up_buffer = array.new_float(len, na)
var array<float> down_buffer = array.new_float(len, na)
var int head = 0
float diff = src - src[1]
float up = diff > 0 ? diff : 0.0
float down = diff < 0 ? -diff : 0.0
float old_up = array.get(up_buffer, head)
float old_down = array.get(down_buffer, head)
if not na(old_up)
sum_up -= old_up
sum_down -= old_down
array.set(up_buffer, head, up)
array.set(down_buffer, head, down)
sum_up += up
sum_down += down
head := (head + 1) % len
float denom = sum_up + sum_down
denom != 0.0 ? 100 * (sum_up - sum_down) / denom : 0.0
// ---------- Main loop ----------
// Inputs
i_length = input.int(14, "Length", minval=1)
i_source = input.source(close, "Source")
// Calculation
cmo_value = cmo(i_source, i_length)
// Plot
plot(cmo_value, "CMO", color=color.yellow, linewidth=2)