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https://github.com/mihakralj/QuanTAlib.git
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63 lines
2.1 KiB
C#
63 lines
2.1 KiB
C#
namespace QuanTAlib;
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using System;
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/* <summary>
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ATRP: Average True Range Percent
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Average True Range Percent is (ATR/Close Price)*100.
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This normalizes so it can be compared to other stocks.
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Sources:
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https://www.fidelity.com/learning-center/trading-investing/technical-analysis/technical-indicator-guide/atrp
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</summary> */
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public class ATRP_Series : Single_TBars_Indicator
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{
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private readonly System.Collections.Generic.List<double> _buffer = new();
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private readonly double _k, _k1m;
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private double _lastema, _lastlastema, _lastcm1;
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private double _cm1 = double.NaN;
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public ATRP_Series(TBars source, int period, bool useNaN = false) : base(source, period, useNaN)
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{
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this._k = 1.0 / (double)(this._p);
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this._k1m = 1.0 - this._k;
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this._lastema = this._lastlastema = double.NaN;
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if (_bars.Count > 0) { base.Add(_bars); }
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}
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public override void Add((DateTime t, double o, double h, double l, double c, double v) TBar, bool update = false)
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{
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if (update) {
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this._lastema = this._lastlastema;
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this._cm1 = this._lastcm1;
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}
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if (_cm1 is double.NaN) { _cm1 = TBar.c; }
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double d1 = Math.Abs(TBar.h - TBar.l);
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double d2 = Math.Abs(_cm1 - TBar.h);
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double d3 = Math.Abs(_cm1 - TBar.l);
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(DateTime t, double v)d = (TBar.t, Math.Max(d1,Math.Max(d2,d3))); //TR value for RMA below
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_lastcm1 = _cm1;
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_cm1 = TBar.c;
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double _ema = 0;
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if (this.Count < this._p)
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{
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if (update) { _buffer[_buffer.Count - 1] = d.v; }
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else { _buffer.Add(d.v); }
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if (_buffer.Count > this._p) { _buffer.RemoveAt(0); }
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for (int i = 0; i < _buffer.Count; i++) { _ema += _buffer[i]; }
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_ema /= this._buffer.Count;
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}
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else { _ema = d.v * _k + _lastema * _k1m; }
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this._lastlastema = this._lastema;
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this._lastema = _ema;
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double _atrp = 100 * (_ema / TBar.c);
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var ret = (d.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _atrp);
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base.Add(ret, update);
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}
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} |