Files
QuanTAlib/Calculations/_Updated/ATRP_Series.cs
T

87 lines
2.8 KiB
C#

namespace QuanTAlib;
using System;
using System.Collections.Generic;
/* <summary>
ATRP: Average True Range Percent
Average True Range Percent is (ATR/Close Price)*100.
This normalizes so it can be compared to other stocks.
Sources:
https://www.fidelity.com/learning-center/trading-investing/technical-analysis/technical-indicator-guide/atrp
</summary> */
public class ATRP_Series : TSeries {
protected readonly int _period;
protected readonly bool _NaN;
protected readonly TBars _data;
private double _k;
private int _len;
private double _lastatr, _lastlastatr, _cm1, _lastcm1, _sum, _oldsum;
//core constructors
public ATRP_Series(int period, bool useNaN) {
_period = period;
_k = 1.0 / (double)(_period);
_NaN = useNaN;
_len = 0;
Name = $"ATRP({period})";
}
public ATRP_Series(TBars source, int period, bool useNaN) : this(period, useNaN) {
_data = source;
Name = Name.Substring(0, Name.IndexOf(")")) + $", {(string.IsNullOrEmpty(_data.Name) ? "data" : _data.Name)})";
_data.Pub += Sub;
Add(data: _data);
}
public ATRP_Series() : this(period: 1, useNaN: false) { }
public ATRP_Series(int period) : this(period: period, useNaN: false) { }
public ATRP_Series(TBars source) : this(source, period: 1, useNaN: false) { }
public ATRP_Series(TBars source, int period) : this(source: source, period: period, useNaN: false) { }
//////////////////
// core Add() algo
public override (DateTime t, double v) Add((DateTime t, double o, double h, double l, double c, double v) TBar, bool update = false) {
if (update) { _lastatr = _lastlastatr; _cm1 = _lastcm1; _sum = _oldsum; }
else {
_lastlastatr = _lastatr; _lastcm1 = _cm1; _oldsum = _sum;
_k = (_period == 0) ? 1 / (double)_len : _k;
_len++;
}
if (_len == 1) { _cm1 = TBar.c; }
double d1 = Math.Abs(TBar.h - TBar.l);
double d2 = Math.Abs(_cm1 - TBar.h);
double d3 = Math.Abs(_cm1 - TBar.l);
(DateTime t, double v) d = (TBar.t, Math.Max(d1, Math.Max(d2, d3)));
_cm1 = TBar.c;
double _atr = 0;
if (this.Count == 0) { _atr = d.v; }
else if (this.Count < _period + 1) { _sum += d.v; _atr = _sum / (this.Count); }
else { _atr = _k * (d.v - _lastatr) + _lastatr; }
_lastatr = _atr;
double _atrp = 100 * (_atr / TBar.c);
var res = (TBar.t, Count < _period - 1 && _NaN ? double.NaN : _atrp);
return base.Add(res, update);
}
public new void Add(TBars data) {
foreach (var item in data) { Add(item, false); }
}
public (DateTime t, double v) Add(bool update) {
return this.Add(TBar: _data.Last, update: update);
}
public (DateTime t, double v) Add() {
return Add(TBar: _data.Last, update: false);
}
private new void Sub(object source, TSeriesEventArgs e) {
Add(TBar: _data.Last, update: e.update);
}
//reset calculation
public override void Reset() {
_len = 0;
}
}