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https://github.com/mihakralj/QuanTAlib.git
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74 lines
2.1 KiB
C#
74 lines
2.1 KiB
C#
namespace QuanTAlib;
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using System;
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/* <summary>
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DEMA: Double Exponential Moving Average
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DEMA uses EMA(EMA()) to calculate smoother Exponential moving average.
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Sources:
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https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/double-exponential-moving-average-dema/
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Remark:
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ema1 = EMA(close, length)
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ema2 = EMA(ema1, length)
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DEMA = 2 * ema1 - ema2
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</summary> */
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public class DEMA_Series : Single_TSeries_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 _lastema1, _lastlastema1;
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private double _lastema2, _lastlastema2;
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public DEMA_Series(TSeries source, int period, bool useNaN = false) : base(source, period, useNaN)
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{
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this._k = 2.0 / (this._p + 1);
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this._k1m = 1.0 - this._k;
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if (_data.Count > 0) { base.Add(_data); }
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}
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public override void Add((DateTime t, double v) TValue, bool update)
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{
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if (update)
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{
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this._lastema1 = this._lastlastema1;
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this._lastema2 = this._lastlastema2;
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}
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double _ema1, _ema2;
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if (this.Count < this._p)
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{
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if (update) { _buffer[_buffer.Count - 1] = TValue.v; }
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else
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{
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_buffer.Add(TValue.v);
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}
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if (_buffer.Count > this._p) { _buffer.RemoveAt(0); }
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double _sma = 0;
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for (int i = 0; i < _buffer.Count; i++) { _sma += _buffer[i]; }
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_sma /= this._buffer.Count;
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_ema1 = _ema2 = _sma;
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}
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else
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{
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_ema1 = TValue.v * this._k + this._lastema1 * this._k1m;
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_ema2 = _ema1 * this._k + this._lastema2 * this._k1m;
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}
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double _dema = 2 * _ema1 - _ema2;
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this._lastlastema1 = this._lastema1;
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this._lastlastema2 = this._lastema2;
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this._lastema1 = _ema1;
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this._lastema2 = _ema2;
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var ret = (TValue.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _dema);
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base.Add(ret, update);
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}
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}
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