namespace QuanTAlib; using System; /* MAPE: Mean Absolute Percentage Error Measures the size of the error in percentage terms Calculation: MAPE = Σ(|close – SMA| / |close|) / n Sources: https://en.wikipedia.org/wiki/Mean_absolute_percentage_error Remark: returns infinity if any of observations is 0. Use SMAPE or WMAPE instead to avoid division-by-zero in MAPE */ public class MAPE_Series : Single_TSeries_Indicator { public MAPE_Series(TSeries source, int period, bool useNaN = false) : base(source, period, useNaN) { if (base._data.Count > 0) { base.Add(base._data); } } private readonly System.Collections.Generic.List _buffer = new(); public override void Add((System.DateTime t, double v) TValue, bool update) { if (update) { _buffer[_buffer.Count - 1] = TValue.v; } else { _buffer.Add(TValue.v); } if (_buffer.Count > this._p && this._p != 0) { _buffer.RemoveAt(0); } double _sma = 0; for (int i = 0; i < _buffer.Count; i++) { _sma += _buffer[i]; } _sma /= this._buffer.Count; double _mape = 0; for (int i = 0; i < _buffer.Count; i++) { _mape += (_buffer[i] != 0) ? Math.Abs(_buffer[i] - _sma) / Math.Abs(_buffer[i]) : double.PositiveInfinity; } _mape /= this._buffer.Count; var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _mape); base.Add(result, update); } }