Files
QuanTAlib/lib/trends_FIR/trima/trima.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("Triangular Moving Average (TRIMA)", "TRIMA", overlay=true)
//@function Calculates TRIMA using triangular weighted smoothing with compensator
//@param source Series to calculate TRIMA from
//@param period Lookback period - FIR window size
//@returns TRIMA value, calculates from first bar using available data
//@optimized Uses triangular weighting with O(n) complexity per bar due to lookback loop
trima(series float source, simple int period) =>
if period <= 0
runtime.error("Period must be greater than 0")
int p = math.min(bar_index + 1, period)
var array<float> weights = array.new_float(1, 1.0)
var int last_p = 1
if last_p != p
weights := array.new_float(p, 0.0)
int mid = math.floor(p / 2)
for i = 0 to p - 1
array.set(weights, i, math.min(i, p - 1 - i) + 1)
last_p := p
float sum = 0.0
float weight_sum = 0.0
for i = 0 to p - 1
float price = source[i]
if not na(price)
float w = array.get(weights, i)
sum += price * w
weight_sum += w
nz(sum / weight_sum, source)
// ---------- Main loop ----------
// Inputs
i_period = input.int(10, "Period", minval=1)
i_source = input.source(close, "Source")
// Calculation
trima_value = trima(i_source, i_period)
// Plot
plot(trima_value, "TRIMA", color=color.yellow, linewidth=2)