Files
QuanTAlib/Source/Indicators/DEMA_Series.cs
T
2022-04-20 00:01:33 -07:00

74 lines
2.1 KiB
C#

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