mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-31 19:07:42 +00:00
24e86d762a
- 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.
44 lines
1.5 KiB
Plaintext
44 lines
1.5 KiB
Plaintext
// The MIT License (MIT)
|
|
// © mihakralj
|
|
//@version=6
|
|
indicator("Mode", "MODE", overlay=false)
|
|
|
|
//@function Calculates the mode (most frequent value) of a series over a lookback period.
|
|
//@param src series float Input data series.
|
|
//@param len simple int Lookback period (must be > 0).
|
|
//@returns series float The mode of the series over the period.
|
|
mode(series float src, simple int len) =>
|
|
if len <= 0
|
|
runtime.error("Length must be greater than 0")
|
|
value_counts = map.new<float, int>()
|
|
actual_lookback = math.min(len, bar_index + 1)
|
|
for i = 0 to actual_lookback - 1
|
|
val = src[i]
|
|
if not na(val)
|
|
count = na(map.get(value_counts, val)) ? 0 : map.get(value_counts, val)
|
|
map.put(value_counts, val, count + 1)
|
|
float mode_val = na
|
|
int max_freq = 0
|
|
if map.size(value_counts) > 0
|
|
keys = map.keys(value_counts)
|
|
for key_val in keys
|
|
current_freq = map.get(value_counts, key_val)
|
|
if current_freq > max_freq
|
|
max_freq := current_freq
|
|
mode_val := key_val
|
|
if max_freq <= 1 and map.size(value_counts) > 1
|
|
mode_val := na
|
|
mode_val
|
|
|
|
// ---------- Main loop ----------
|
|
|
|
// Inputs
|
|
i_source = input.source(close, "Source")
|
|
i_length = input.int(14, "Period", minval=1)
|
|
|
|
// Calculation
|
|
mode_value = mode(i_source, i_length)
|
|
|
|
// Plot
|
|
plot(mode_value, "Mode", color=color.new(color.green, 0, color=color.yellow, linewidth=2), linewidth=2)
|