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https://github.com/mihakralj/QuanTAlib.git
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116 lines
3.6 KiB
C#
116 lines
3.6 KiB
C#
namespace QuanTAlib;
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using System;
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using System.Collections.Generic;
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/* <summary>
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HEMA: Hull-EMA Moving Average - a hybrid indicator
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Modified HUll Moving Average; instead of using WMA (Weighted MA) for calculation,
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HEMA uses EMA for Hull's formula:
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EMA1 = EMA(n/2) of price - where k = 4/(n/2 +1)
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EMA2 = EMA(n) of price - where k = 3/(n+1)
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Raw HMA = (2 * EMA1) - EMA2
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EMA3 = EMA(sqrt(n)) of Raw HMA - where k = 2/(sqrt(n)+1)
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</summary> */
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public class HEMA_Series : TSeries {
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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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private double _k1, _k2, _k3;
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private int _len;
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private double _lastema1, _oldema1;
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private double _lastema2, _oldema2;
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private double _lasthema, _oldhema;
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//core constructors
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public HEMA_Series(int period, bool useNaN) : base() {
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_period = period;
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_NaN = useNaN;
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Name = $"HEMA({period})";
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CalculateK(_period, out _k1, out _k2, out _k3);
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_len = 0;
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_lastema1 = _oldema1 = _lastema2 = _oldema2 = _lasthema = _oldhema = 0;
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}
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public HEMA_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 HEMA_Series() : this(period: 0, useNaN: false) { }
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public HEMA_Series(int period) : this(period: period, useNaN: false) { }
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public HEMA_Series(TBars source) : this(source.Close, 0, false) { }
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public HEMA_Series(TBars source, int period) : this(source.Close, period, false) { }
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public HEMA_Series(TBars source, int period, bool useNaN) : this(source.Close, period, useNaN) { }
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public HEMA_Series(TSeries source) : this(source, 0, false) { }
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public HEMA_Series(TSeries source, int period) : this(source: source, period: period, useNaN: false) { }
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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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if (update) {
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_lastema1 = _oldema1;
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_lastema2 = _oldema2;
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_lasthema = _oldhema;
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}
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else {
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_oldema1 = _lastema1;
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_oldema2 = _lastema2;
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_oldhema = _lasthema;
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}
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double _ema1, _ema2, _hema;
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if (_period == 0) {
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_len++;
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CalculateK(_len, out _k1, out _k2, out _k3);
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}
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if (double.IsNaN(TValue.v)) {
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return base.Add((TValue.t, double.NaN), update);
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} else if (this.Count == 0) {
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_ema1 = _ema2 = _hema = TValue.v;
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}
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else {
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_ema1 = _k1 * (TValue.v - _lastema1) + _lastema1;
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_ema2 = _k2 * (TValue.v - _lastema2) + _lastema2;
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_hema = _k3 * (((2 * _ema1) - _ema2) - _lasthema) + _lasthema;
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}
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_lastema1 = _ema1;
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_lastema2 = _ema2;
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_lasthema = _hema;
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var res = (TValue.t, Count < _period - 1 && _NaN ? double.NaN : _hema);
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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) { return (DateTime.Today, Double.NaN); }
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foreach (var item in data) { Add(item, false); }
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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 this.Add(TValue: _data.Last, update: update);
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}
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public (DateTime t, double v) Add() {
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return Add(TValue: _data.Last, update: false);
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}
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private new void Sub(object source, TSeriesEventArgs e) {
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Add(TValue: _data.Last, update: e.update);
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}
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//reset calculation
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public override void Reset() {
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_lastema1 = _lastema2 = _lasthema = 0;
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_oldema1 = _oldema2 = _oldhema = 0;
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_len = 0;
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}
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public static void CalculateK(int len, out double k1, out double k2, out double k3) {
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k1 = 8 / (double)(len + 7);
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k2 = 3 / (double)(len + 2);
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k3 = 2 / Math.Sqrt(len + 3);
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}
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} |