mirror of
https://github.com/mihakralj/QuanTAlib.git
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126 lines
2.9 KiB
C#
126 lines
2.9 KiB
C#
namespace QuanTAlib;
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using System;
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using System.Collections.Generic;
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using System.Threading.Tasks;
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/* <summary>
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DWMA: Double Weighted Moving Average
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The weights are decreasing over the period with p^2 decay
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and the most recent data has the heaviest weight.
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</summary> */
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public class DWMA_Series : TSeries {
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private readonly List<double> _buffer = new();
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private List<double> _weights = new();
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protected readonly int _period;
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protected readonly bool _NaN;
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protected readonly TSeries _data;
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protected int _len;
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//core constructors
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public DWMA_Series(int period, bool useNaN) : base() {
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_period = period;
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_NaN = useNaN;
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Name = $"DWMA({period})";
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_len = 0;
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_weights = CalculateWeights(_period);
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}
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public DWMA_Series(TSeries source, int period, bool useNaN) : this(period, useNaN) {
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_data = source;
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Name = Name.Substring(0, Name.IndexOf(")")) + $", {(string.IsNullOrEmpty(_data.Name) ? "data" : _data.Name)})";
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_data.Pub += Sub;
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Add(_data);
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}
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public DWMA_Series() : this(0, false) {
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}
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public DWMA_Series(int period) : this(period, false) {
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}
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public DWMA_Series(TBars source) : this(source.Close, 0, false) {
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}
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public DWMA_Series(TBars source, int period) : this(source.Close, period, false) {
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}
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public DWMA_Series(TBars source, int period, bool useNaN) : this(source.Close, period, useNaN) {
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}
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public DWMA_Series(TSeries source, int period) : this(source, period, false) {
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}
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//////////////////
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// core Add() algo
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public override (DateTime t, double v) Add((DateTime t, double v) TValue, bool update = false) {
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BufferTrim(_buffer, TValue.v, _period, update);
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if (_period == 0) {
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_len++;
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_weights = CalculateWeights(_len);
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}
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double _dwma = 0, _wsum = 0;
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var bufferCount = _buffer.Count;
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var lockObj = new object();
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Parallel.For(0, bufferCount, i =>
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{
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var temp = _buffer[i] * _weights[i];
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lock (lockObj) {
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_dwma += temp;
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_wsum += _weights[i];
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}
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});
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_dwma /= _wsum;
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var res = (TValue.t, Count < _period - 1 && _NaN ? double.NaN : _dwma);
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return base.Add(res, update);
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}
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public override (DateTime t, double v) Add(TSeries data) {
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if (data == null) {
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return (DateTime.Today, double.NaN);
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}
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foreach (var item in data) {
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Add(item, false);
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}
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return _data.Last;
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}
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public new (DateTime t, double v) Add((DateTime t, double v) TValue) {
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return Add(TValue, false);
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}
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public (DateTime t, double v) Add(bool update) {
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return Add(_data.Last, update);
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}
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public (DateTime t, double v) Add() {
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return Add(_data.Last, false);
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}
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private new void Sub(object source, TSeriesEventArgs e) {
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Add(_data.Last, e.update);
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}
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//calculating weights
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private static List<double> CalculateWeights(int period) {
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var weights = new List<double>(period);
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for (var i = 0; i < period; i++) {
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weights.Add((i + 1) * (i + 1));
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}
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return weights;
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}
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//reset calculation
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public override void Reset() {
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_len = 0;
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_buffer.Clear();
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_weights = CalculateWeights(_period);
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}
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} |