Files
Miha Kralj 35a6702b06 fix(docs): correct .md documentation across errors, dynamics, filters, forecasts, momentum, numerics, oscillators, reversals, statistics, trends, volatility, volume
Deep review of all indicator categories verified .md headers against .cs WarmupPeriod, parameters, inputs, and outputs. Fixes include warmup corrections, parameter documentation, output type accuracy, and Pine Script alignment.
2026-03-10 18:38:23 -07:00

79 lines
2.3 KiB
Plaintext

// Licensed under the Apache License, Version 2.0
// © mihakralj
//@version=6
indicator("Pretty Good Oscillator (PGO)", "PGO", overlay=false)
//@function Calculate Pretty Good Oscillator (PGO)
//@param source Price data to analyze
//@param period Number of bars for SMA and ATR calculation
//@returns PGO value normalized by ATR
pgo(series float source, simple int period) =>
if period <= 0
runtime.error("Period must be greater than 0")
if period > 5000
runtime.error("Period exceeds maximum of 5000")
var array<float> sma_buffer = array.new_float(period, na)
var int sma_head = 0
var float sma_sum = 0.0
var int valid_count = 0
float oldest = array.get(sma_buffer, sma_head)
if not na(oldest)
sma_sum -= oldest
valid_count -= 1
if not na(source)
sma_sum += source
valid_count += 1
array.set(sma_buffer, sma_head, source)
sma_head := (sma_head + 1) % period
float sma_value = nz(sma_sum / valid_count, source)
float prevClose = nz(close[1], close)
float tr1 = high - low
float tr2 = math.abs(high - prevClose)
float tr3 = math.abs(low - prevClose)
float tr = math.max(tr1, math.max(tr2, tr3))
float a = 1.0 / float(period)
float beta = 1.0 - a
var bool warmup = true
var float e = 1.0
var float ema = 0.0
var float atr = nz(tr)
ema := a * (nz(tr) - ema) + ema
if warmup
e *= beta
float c = 1.0 / (1.0 - e)
atr := c * ema
warmup := e > 1e-10
else
atr := ema
float pgo_value = atr > 0 ? (source - sma_value) / atr : na
pgo_value
// ---------- Main loop ----------
// Inputs
i_period = input.int(14, "Period", minval=1, maxval=500, tooltip="Number of bars for SMA and ATR calculation")
i_source = input.source(close, "Source")
// Calculation
result = pgo(i_source, i_period)
// Plot
plot(result, "PGO", color=color.yellow, linewidth=2)
hline(0, "Zero Line", color=color.gray, linestyle=hline.style_solid)
hline(3, "Overbought", color=color.red, linestyle=hline.style_dashed)
hline(-3, "Oversold", color=color.green, linestyle=hline.style_dashed)
// Background coloring for extreme zones
bgcolor(not na(result) and result > 3 ? color.new(color.red, 85) : not na(result) and result < -3 ? color.new(color.green, 85) : na)