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TR and ATR
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namespace QuanTAlib;
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using System;
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/* <summary>
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TEMA: Triple Exponential Moving Average
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TEMA uses EMA(EMA(EMA())) to calculate less laggy Exponential moving average.
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Sources:
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https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/triple-exponential-moving-average-tema/
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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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ema3 = EMA(ema2, length)
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TEMA = 3 * (ema1 - ema2) + ema3
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</summary> */
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public class TEMA_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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private double _lastema3, _lastlastema3;
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public TEMA_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) d, bool update = false)
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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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this._lastema3 = this._lastlastema3;
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}
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double _ema1, _ema2, _ema3;
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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
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{
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_buffer.Add(d.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 = _ema3 = _sma;
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}
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else
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{
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_ema1 = d.v * this._k + this._lastema1 * this._k1m;
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_ema2 = _ema1 * this._k + this._lastema2 * this._k1m;
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_ema3 = _ema2 * this._k + this._lastema3 * this._k1m;
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}
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double _tema = 3 * (_ema1 - _ema2) + _ema3;
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this._lastlastema1 = this._lastema1;
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this._lastlastema2 = this._lastema2;
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this._lastlastema3 = this._lastema3;
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this._lastema1 = _ema1;
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this._lastema2 = _ema2;
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this._lastema3 = _ema3;
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var ret = (d.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _tema);
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base.Add(ret, update);
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}
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}
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