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71 lines
2.0 KiB
C#
71 lines
2.0 KiB
C#
namespace QuanTAlib;
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using System;
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/* <summary>
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ZLEMA: Zero Lag Exponential Moving Average
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The Zero lag exponential moving average (ZLEMA) indicator was created by John
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Ehlers and Ric Way.
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The formula for a given N-Day period and for a given Data series is:
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Lag = (Period-1)/2
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Ema Data = {Data+(Data-Data(Lag days ago))
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ZLEMA = EMA (EmaData,Period)
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Remark:
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The idea is do a regular exponential moving average (EMA) calculation but on a
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de-lagged data instead of doing it on the regular data. Data is de-lagged by
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removing the data from "lag" days ago thus removing (or attempting to remove)
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the cumulative lag effect of the moving average.
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</summary> */
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public class ZLEMA_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 _lastema, _lastlastema;
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public ZLEMA_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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this._lastema = this._lastlastema = double.NaN;
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if (base._data.Count > 0)
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{ base.Add(base._data); }
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}
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public override void Add((System.DateTime t, double v) TValue, bool update)
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{
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int _lag = (int)((_p - 1) * 0.5);
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_lag = (this.Count - _lag < 0) ? 0 : this.Count - _lag;
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double _zl = TValue.v + (TValue.v - _data[_lag].v);
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double _ema = 0;
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if (update)
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{ this._lastema = this._lastlastema; }
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if (this.Count < this._p)
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{
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if (update)
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{ this._buffer[this._buffer.Count - 1] = _zl; }
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else
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{
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this._buffer.Add(_zl);
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}
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if (this._buffer.Count > this._p)
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{ this._buffer.RemoveAt(0); }
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for (int i = 0; i < this._buffer.Count; i++)
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{ _ema += this._buffer[i]; }
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_ema /= this._buffer.Count;
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}
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else
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{
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_ema = TValue.v * this._k + this._lastema * this._k1m;
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}
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this._lastlastema = this._lastema;
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this._lastema = _ema;
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var ret = (TValue.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _ema);
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base.Add(ret, update);
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}
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} |