namespace QuanTAlib; using System; using System.Linq; /* TEMA: Triple Exponential Moving Average TEMA uses EMA(EMA(EMA())) to calculate less laggy Exponential moving average. Sources: https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/triple-exponential-moving-average-tema/ Remark: ema1 = EMA(close, length) ema2 = EMA(ema1, length) ema3 = EMA(ema2, length) TEMA = 3 * (ema1 - ema2) + ema3 */ public class TEMA_Series : Single_TSeries_Indicator { private readonly System.Collections.Generic.List _buffer = new(); private readonly double _k, _k1m; private double _lastema1, _lastlastema1; private double _lastema2, _lastlastema2; private double _lastema3, _lastlastema3; public TEMA_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; this._lastema3 = this._lastlastema3; } double _ema1, _ema2, _ema3; if (this.Count < this._p) { Add_Replace_Trim(_buffer, TValue.v, _p, update); double _sma = _buffer.Average(); _ema1 = _ema2 = _ema3 = _sma; } else { _ema1 = (TValue.v * this._k) + (this._lastema1 * this._k1m); _ema2 = (_ema1 * this._k) + (this._lastema2 * this._k1m); _ema3 = (_ema2 * this._k) + (this._lastema3 * this._k1m); } double _tema = (3 * (_ema1 - _ema2)) + _ema3; this._lastlastema1 = this._lastema1; this._lastlastema2 = this._lastema2; this._lastlastema3 = this._lastema3; this._lastema1 = _ema1; this._lastema2 = _ema2; this._lastema3 = _ema3; base.Add((TValue.t, _tema), update, _NaN); } }