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Update RSI_Series to check for period != 0 before calculating RSI
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@@ -0,0 +1,86 @@
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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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DECAY:
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Linear decay can be modeled by a straight line with a negative slope of 1/period.
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The value decreases in a straight line from the last maximum to 0.
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Decay = Last Max - distance/period
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Exponential decay is modeled as an exponential curve with diminishing factor of
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1-1/p
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</summary> */
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public class DECAY_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 readonly bool _exp;
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private double _pdecay, _ppdecay;
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private readonly double _dfactor;
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//core constructors
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public DECAY_Series(int period, bool exponential, bool useNaN) : base() {
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_period = period;
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_NaN = useNaN;
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Name = $"DECAY({period})";
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_exp = exponential;
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_dfactor = (_exp) ? 1.0 - 1.0 / (double)_period : 1 / (double)_period;
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_pdecay = _ppdecay = 0;
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}
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public DECAY_Series(TSeries source, int period, bool exponential, bool useNaN) : this(period, exponential, 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 DECAY_Series() : this(period: 0, exponential: false, useNaN: false) { }
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public DECAY_Series(int period) : this(period: period, exponential: false, useNaN: false) { }
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public DECAY_Series(TBars source) : this(source.Close, period: 0, exponential: false, useNaN: false) { }
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public DECAY_Series(TBars source, int period) : this(source.Close, period: period, exponential:false, useNaN:false) { }
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public DECAY_Series(TBars source, int period, bool useNaN) : this(source.Close, period: period, exponential: false, useNaN) { }
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public DECAY_Series(TSeries source) : this(source, period: 0, exponential: false, useNaN:false) { }
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public DECAY_Series(TSeries source, int period) : this(source: source, period: period, exponential: false, useNaN: false) { }
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public DECAY_Series(TSeries source, int period, bool useNaN) : this(source: source, period: period, exponential: false, useNaN: useNaN) { }
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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 (double.IsNaN(TValue.v)) {
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return base.Add((TValue.t, Double.NaN), update);
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}
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if (update) { _pdecay = _ppdecay; }
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else { _ppdecay = _pdecay; }
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if (this.Count == 0) { _pdecay = TValue.v; }
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double _decay = Math.Max(TValue.v, Math.Max((_exp) ? _pdecay * _dfactor : _pdecay - _dfactor, 0));
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_pdecay = _decay;
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var res = (TValue.t, Count < _period - 1 && _NaN ? double.NaN : _decay);
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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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_pdecay = _ppdecay = 0;
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}
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}
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