GitVersion

GitVersion
This commit is contained in:
Miha Kralj
2022-11-12 20:06:54 -08:00
parent 97fb428147
commit 59ca5c2395
80 changed files with 4237 additions and 4257 deletions
+135 -135
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@@ -1,135 +1,135 @@
namespace QuanTAlib;
using System;
/* <summary>
Abstract classes with all scaffolding required to build indicators.
All abstracts support period, NaN, and all permutations of Add() methods.
Indicator classess need to implement:
- Chaining constructor (Abstract's constructor executes first)
- Default Add(value) class
- optional Add(series) bulk insert class (for optimization of historical analysis)
Single_TSeries_Indicator - one single-value TSeries in, one TSeries out.
Pair_TSeries_Indicator - Two TSeries in, one TSeries out. (includes simple semaphoring)
Single_TBars_Indicator - One OHLCV TBars in, one TSeries out.
</summary> */
public abstract class Single_TSeries_Indicator : TSeries
{
protected readonly int _p;
protected readonly bool _NaN;
protected readonly TSeries _data;
// Chainable Constructor - add it at the end of primary constructor :base(source: source, period: period, useNaN: useNaN)
protected Single_TSeries_Indicator(TSeries source, int period, bool useNaN)
{
this._data = source;
this._p = period;
this._NaN = useNaN;
this._data.Pub += this.Sub;
}
// overridable Add() method to add/update a single item at the end of the list
public new virtual void Add((System.DateTime t, double v) TValue, bool update) => base.Add(TValue, update);
// potentially overridable Add() method for the whole series (could be replaced with faster bulk algo)
public virtual void Add(TSeries data) { for (int i = 0; i < data.Count; i++) { this.Add(TValue: data[i], update: false); }}
public new void Add((System.DateTime t, double v) TValue) => this.Add(TValue: TValue, update: false);
public void Add(bool update) => this.Add(TValue: this._data[this._data.Count - 1], update: update);
public void Add() => this.Add(TValue: this._data[this._data.Count - 1], update: false);
public new void Sub(object source, TSeriesEventArgs e) => this.Add(TValue: this._data[this._data.Count - 1], update: e.update);
}
public abstract class Pair_TSeries_Indicator : TSeries
{
protected readonly TSeries _d1;
protected readonly TSeries _d2;
protected readonly double _dd1, _dd2;
// Chainable Constructors - add them at the end of primary constructors if needed
protected Pair_TSeries_Indicator(TSeries source1, TSeries source2)
{
this._d1 = source1;
this._d2 = source2;
this._dd1 = double.NaN;
this._dd2 = double.NaN;
this._d1.Pub += this.Sub;
this._d2.Pub += this.Sub;
}
protected Pair_TSeries_Indicator(TSeries source1, double dd2)
{
this._d1 = source1;
this._d2 = new();
this._dd1 = double.NaN;
this._dd2 = dd2;
this._d1.Pub += this.Sub;
}
protected Pair_TSeries_Indicator(double dd1, TSeries source2)
{
this._d1 = new();
this._d2 = source2;
this._dd1 = dd1;
this._dd2 = double.NaN;
this._d2.Pub += this.Sub;
}
// overridable Add(Tvalue, Tvalue) method to add/update a single value at the end of the list
public virtual void Add((System.DateTime t, double v)TValue1, (System.DateTime t, double v)TValue2, bool update) => base.Add(TValue: (TValue1.t, 0), update: update); // default inserts zeros
// potentially overridable Add() bulk variations (could be replaced with faster bulk algos)
public virtual void Add(TSeries d1, TSeries d2) { for (int i = 0; i < d1.Count; i++) { this.Add(d1[i], d2[i], update: false); }}
public virtual void Add(TSeries d1, double dd2) { for (int i = 0; i < d1.Count; i++) { this.Add(d1[i], (d1[i].t, dd2), update: false); }}
public virtual void Add(double dd1, TSeries d2) { for (int i = 0; i < d2.Count; i++) { this.Add((d2[i].t, dd1), d2[i], update: false); }}
public void Add((System.DateTime t, double v)TValue1, (System.DateTime t, double v)TValue2) => this.Add(TValue1, TValue2, update: false);
public void Add(bool update)
{
if ((this._dd1 is double.NaN) && (this._dd2 is double.NaN))
{
// (Series, Series)
if (update || (this._d1.Count > this.Count && this._d2.Count > this.Count))
{ this.Add(this._d1[this._d1.Count - 1], this._d2[this._d2.Count - 1], update); }
}
else if ((this._dd2 is not double.NaN) && (this._dd1 is double.NaN))
{
// (Series, Double)
this.Add(TValue1: this._d1[this._d1.Count - 1], TValue2: (this._d1[this._d1.Count - 1].t, this._dd2), update: update);
}
else
{
// (Double, Series)
this.Add(TValue1: (this._d2[this._d2.Count - 1].t, this._dd1), TValue2: this._d2[this._d2.Count - 1], update: update);
}
}
public void Add() => this.Add(update: false);
public new void Sub(object source, TSeriesEventArgs e) => this.Add(e.update);
}
public abstract class Single_TBars_Indicator : TSeries
{
protected readonly int _p;
protected readonly bool _NaN;
protected readonly TBars _bars;
// Chainable Constructor - add it at the end of primary constructor :base(source: source, period: period, useNaN: useNaN)
protected Single_TBars_Indicator(TBars source, int period, bool useNaN)
{
this._p = period;
this._bars = source;
this._NaN = useNaN;
this._bars.Pub += this.Sub;
}
// overridable Add() method to add/update a single item at the end of the list
public virtual void Add((System.DateTime t, double o, double h, double l, double c, double v) TBar, bool update) => base.Add((TBar.t, 0.0), update);
// potentially overridable Add() method for the whole bars or series (could be replaced with faster bulk algo)
public virtual void Add(TBars bars) { for (int i = 0; i < bars.Count; i++) { this.Add(TBar: bars[i], update: false); }}
public virtual void Add(TSeries data) { for (int i = 0; i < data.Count; i++) { base.Add(TValue: data[i], update: false); }}
public void Add((System.DateTime t, double o, double h, double l, double c, double v) TBar) => this.Add(TBar: TBar, update: false);
public void Add(bool update) => this.Add(TBar: this._bars[this._bars.Count - 1], update: update);
public void Add() => this.Add(TBar: this._bars[this._bars.Count - 1], update: false);
public new void Sub(object source, TSeriesEventArgs e) => this.Add(TBar: this._bars[this._bars.Count - 1], update: e.update);
}
namespace QuanTAlib;
using System;
/* <summary>
Abstract classes with all scaffolding required to build indicators.
All abstracts support period, NaN, and all permutations of Add() methods.
Indicator classess need to implement:
- Chaining constructor (Abstract's constructor executes first)
- Default Add(value) class
- optional Add(series) bulk insert class (for optimization of historical analysis)
Single_TSeries_Indicator - one single-value TSeries in, one TSeries out.
Pair_TSeries_Indicator - Two TSeries in, one TSeries out. (includes simple semaphoring)
Single_TBars_Indicator - One OHLCV TBars in, one TSeries out.
</summary> */
public abstract class Single_TSeries_Indicator : TSeries
{
protected readonly int _p;
protected readonly bool _NaN;
protected readonly TSeries _data;
// Chainable Constructor - add it at the end of primary constructor :base(source: source, period: period, useNaN: useNaN)
protected Single_TSeries_Indicator(TSeries source, int period, bool useNaN)
{
this._data = source;
this._p = period;
this._NaN = useNaN;
this._data.Pub += this.Sub;
}
// overridable Add() method to add/update a single item at the end of the list
public new virtual void Add((System.DateTime t, double v) TValue, bool update) => base.Add(TValue, update);
// potentially overridable Add() method for the whole series (could be replaced with faster bulk algo)
public virtual void Add(TSeries data) { for (int i = 0; i < data.Count; i++) { this.Add(TValue: data[i], update: false); }}
public new void Add((System.DateTime t, double v) TValue) => this.Add(TValue: TValue, update: false);
public void Add(bool update) => this.Add(TValue: this._data[this._data.Count - 1], update: update);
public void Add() => this.Add(TValue: this._data[this._data.Count - 1], update: false);
public new void Sub(object source, TSeriesEventArgs e) => this.Add(TValue: this._data[this._data.Count - 1], update: e.update);
}
public abstract class Pair_TSeries_Indicator : TSeries
{
protected readonly TSeries _d1;
protected readonly TSeries _d2;
protected readonly double _dd1, _dd2;
// Chainable Constructors - add them at the end of primary constructors if needed
protected Pair_TSeries_Indicator(TSeries source1, TSeries source2)
{
this._d1 = source1;
this._d2 = source2;
this._dd1 = double.NaN;
this._dd2 = double.NaN;
this._d1.Pub += this.Sub;
this._d2.Pub += this.Sub;
}
protected Pair_TSeries_Indicator(TSeries source1, double dd2)
{
this._d1 = source1;
this._d2 = new();
this._dd1 = double.NaN;
this._dd2 = dd2;
this._d1.Pub += this.Sub;
}
protected Pair_TSeries_Indicator(double dd1, TSeries source2)
{
this._d1 = new();
this._d2 = source2;
this._dd1 = dd1;
this._dd2 = double.NaN;
this._d2.Pub += this.Sub;
}
// overridable Add(Tvalue, Tvalue) method to add/update a single value at the end of the list
public virtual void Add((System.DateTime t, double v)TValue1, (System.DateTime t, double v)TValue2, bool update) => base.Add(TValue: (TValue1.t, 0), update: update); // default inserts zeros
// potentially overridable Add() bulk variations (could be replaced with faster bulk algos)
public virtual void Add(TSeries d1, TSeries d2) { for (int i = 0; i < d1.Count; i++) { this.Add(d1[i], d2[i], update: false); }}
public virtual void Add(TSeries d1, double dd2) { for (int i = 0; i < d1.Count; i++) { this.Add(d1[i], (d1[i].t, dd2), update: false); }}
public virtual void Add(double dd1, TSeries d2) { for (int i = 0; i < d2.Count; i++) { this.Add((d2[i].t, dd1), d2[i], update: false); }}
public void Add((System.DateTime t, double v)TValue1, (System.DateTime t, double v)TValue2) => this.Add(TValue1, TValue2, update: false);
public void Add(bool update)
{
if ((this._dd1 is double.NaN) && (this._dd2 is double.NaN))
{
// (Series, Series)
if (update || (this._d1.Count > this.Count && this._d2.Count > this.Count))
{ this.Add(this._d1[this._d1.Count - 1], this._d2[this._d2.Count - 1], update); }
}
else if ((this._dd2 is not double.NaN) && (this._dd1 is double.NaN))
{
// (Series, Double)
this.Add(TValue1: this._d1[this._d1.Count - 1], TValue2: (this._d1[this._d1.Count - 1].t, this._dd2), update: update);
}
else
{
// (Double, Series)
this.Add(TValue1: (this._d2[this._d2.Count - 1].t, this._dd1), TValue2: this._d2[this._d2.Count - 1], update: update);
}
}
public void Add() => this.Add(update: false);
public new void Sub(object source, TSeriesEventArgs e) => this.Add(e.update);
}
public abstract class Single_TBars_Indicator : TSeries
{
protected readonly int _p;
protected readonly bool _NaN;
protected readonly TBars _bars;
// Chainable Constructor - add it at the end of primary constructor :base(source: source, period: period, useNaN: useNaN)
protected Single_TBars_Indicator(TBars source, int period, bool useNaN)
{
this._p = period;
this._bars = source;
this._NaN = useNaN;
this._bars.Pub += this.Sub;
}
// overridable Add() method to add/update a single item at the end of the list
public virtual void Add((System.DateTime t, double o, double h, double l, double c, double v) TBar, bool update) => base.Add((TBar.t, 0.0), update);
// potentially overridable Add() method for the whole bars or series (could be replaced with faster bulk algo)
public virtual void Add(TBars bars) { for (int i = 0; i < bars.Count; i++) { this.Add(TBar: bars[i], update: false); }}
public virtual void Add(TSeries data) { for (int i = 0; i < data.Count; i++) { base.Add(TValue: data[i], update: false); }}
public void Add((System.DateTime t, double o, double h, double l, double c, double v) TBar) => this.Add(TBar: TBar, update: false);
public void Add(bool update) => this.Add(TBar: this._bars[this._bars.Count - 1], update: update);
public void Add() => this.Add(TBar: this._bars[this._bars.Count - 1], update: false);
public new void Sub(object source, TSeriesEventArgs e) => this.Add(TBar: this._bars[this._bars.Count - 1], update: e.update);
}
+33 -33
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@@ -1,34 +1,34 @@
namespace QuanTAlib;
using System;
/* <summary>
MAX - Maximum value in the given period in the series.
If period = 0 => period = full length of the series
</summary> */
public class MAX_Series : Single_TSeries_Indicator
{
public MAX_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<double> _buffer = new();
public override void Add((DateTime t, double v) TValue, bool update)
{
if (update) { this._buffer[this._buffer.Count - 1] = TValue.v; }
else { this._buffer.Add(TValue.v); }
if (this._buffer.Count > this._p && this._p != 0) { this._buffer.RemoveAt(0); }
double _max = TValue.v;
for (int i = 0; i < this._buffer.Count; i++)
{
//_max = (this._buffer[i] > _max) ? this._buffer[i] : _max;
_max = Math.Max(this._buffer[i], _max);
}
var result = (TValue.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _max);
base.Add(result, update);
}
namespace QuanTAlib;
using System;
/* <summary>
MAX - Maximum value in the given period in the series.
If period = 0 => period = full length of the series
</summary> */
public class MAX_Series : Single_TSeries_Indicator
{
public MAX_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<double> _buffer = new();
public override void Add((DateTime t, double v) TValue, bool update)
{
if (update) { this._buffer[this._buffer.Count - 1] = TValue.v; }
else { this._buffer.Add(TValue.v); }
if (this._buffer.Count > this._p && this._p != 0) { this._buffer.RemoveAt(0); }
double _max = TValue.v;
for (int i = 0; i < this._buffer.Count; i++)
{
//_max = (this._buffer[i] > _max) ? this._buffer[i] : _max;
_max = Math.Max(this._buffer[i], _max);
}
var result = (TValue.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _max);
base.Add(result, update);
}
}
+33 -33
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@@ -1,34 +1,34 @@
namespace QuanTAlib;
using System;
/* <summary>
MIN - Minimum value in the given period in the series.
If period = 0 => period = full length of the series
</summary> */
public class MIN_Series : Single_TSeries_Indicator
{
public MIN_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<double> _buffer = new();
public override void Add((System.DateTime t, double v) TValue, bool update)
{
if (update) { this._buffer[this._buffer.Count - 1] = TValue.v; }
else { this._buffer.Add(TValue.v); }
if (this._buffer.Count > this._p && this._p != 0) { this._buffer.RemoveAt(0); }
double _min = TValue.v;
for (int i = 0; i < this._buffer.Count; i++)
{
//_min = (this._buffer[i] < _min) ? this._buffer[i] : _min;
_min = Math.Min(this._buffer[i], _min);
}
var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _min);
base.Add(result, update);
}
namespace QuanTAlib;
using System;
/* <summary>
MIN - Minimum value in the given period in the series.
If period = 0 => period = full length of the series
</summary> */
public class MIN_Series : Single_TSeries_Indicator
{
public MIN_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<double> _buffer = new();
public override void Add((System.DateTime t, double v) TValue, bool update)
{
if (update) { this._buffer[this._buffer.Count - 1] = TValue.v; }
else { this._buffer.Add(TValue.v); }
if (this._buffer.Count > this._p && this._p != 0) { this._buffer.RemoveAt(0); }
double _min = TValue.v;
for (int i = 0; i < this._buffer.Count; i++)
{
//_min = (this._buffer[i] < _min) ? this._buffer[i] : _min;
_min = Math.Min(this._buffer[i], _min);
}
var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _min);
base.Add(result, update);
}
}
+132 -132
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@@ -1,132 +1,132 @@
namespace QuanTAlib;
using System;
/* <summary>
TBars class - includes all series for common data used in indicators and other calculations.
Has a bit limited overloading and casting (compared to TSeries)
Includes Select(int) method to simplify choosing the most optimal data source for indicators
Includes the most basic pricing calcs: HL2, OC2, OHL3, HLC3, OHLC4, HLCC4
(it is 'cheaper' to calculate them once during data capture than each time during data analysis)
</summary> */
public class TBars : System.Collections.Generic.List<(DateTime t, double o, double h, double l, double c, double v)>
{
private readonly TSeries _open = new();
private readonly TSeries _high = new();
private readonly TSeries _low = new();
private readonly TSeries _close = new();
private readonly TSeries _volume = new();
private readonly TSeries _hl2 = new();
private readonly TSeries _oc2 = new();
private readonly TSeries _ohl3 = new();
private readonly TSeries _hlc3 = new();
private readonly TSeries _ohlc4 = new();
private readonly TSeries _hlcc4 = new();
public TSeries Open => this._open;
public TSeries High => this._high;
public TSeries Low => this._low;
public TSeries Close => this._close;
public TSeries Volume => this._volume;
public TSeries HL2 => this._hl2;
public TSeries OC2 => this._oc2;
public TSeries OHL3 => this._ohl3;
public TSeries HLC3 => this._hlc3;
public TSeries OHLC4 => this._ohlc4;
public TSeries HLCC4 => this._hlcc4;
public TBars Tail(int count=10) {
TBars outBars = new();
if (count > this.Count) { count = this.Count; }
for (int i = this.Count-count; i<this.Count; i++) { outBars.Add(this[i]); }
return outBars;
}
public TSeries Select(int source)
{
return source switch
{
0 => _open,
1 => _high,
2 => _low,
3 => _close,
4 => _hl2,
5 => _oc2,
6 => _ohl3,
7 => _hlc3,
8 => _ohlc4,
_ => _hlcc4,
};
}
public static string SelectStr(int source)
{
return source switch
{
0 => "Open",
1 => "High",
2 => "Low",
3 => "Close",
4 => "HL2",
5 => "OC2",
6 => "OHL3",
7 => "Typical",
8 => "Mean",
_ => "Weighted",
};
}
public void Add((DateTime t, double o, double h, double l, double c, double v) i, bool update = false)
=> Add(i.t, i.o, i.h, i.l, i.c, i.v, update);
public void Add(DateTime t, decimal o, decimal h, decimal l, decimal c, decimal v, bool update = false)
=> Add(t, (double)o, (double)h, (double)l, (double)c, (double)v, update);
public void Add(DateTime t, double o, double h, double l, double c, double v, bool update = false)
{
if (update)
{
this[this.Count - 1] = (t, o, h, l, c, v);
_open[_open.Count - 1] = (t, o);
_high[_high.Count - 1] = (t, h);
_low[_low.Count - 1] = (t, l);
_close[_close.Count - 1] = (t, c);
_volume[_volume.Count - 1] = (t, v);
_hl2[_hl2.Count - 1] = (t, (h + l) * 0.5);
_oc2[_oc2.Count - 1] = (t, (o + c) * 0.5);
_ohl3[_ohl3.Count - 1] = (t, (o + h + l) * 0.333333333333333);
_hlc3[_hlc3.Count - 1] = (t, (h + l + c) * 0.333333333333333);
_ohlc4[_ohlc4.Count - 1] = (t, (o + h + l + c) * 0.25);
_hlcc4[_hlcc4.Count - 1] = (t, (h + l + c + c) * 0.25);
}
else
{
base.Add((t, o, h, l, c, v));
_open.Add((t, o));
_high.Add((t, h));
_low.Add((t, l));
_close.Add((t, c));
_volume.Add((t, v));
_hl2.Add((t, (h + l) * 0.5));
_oc2.Add((t, (o + c) * 0.5));
_ohl3.Add((t, (o + h + l) * 0.333333333333333));
_hlc3.Add((t, (h + l + c) * 0.333333333333333));
_ohlc4.Add((t, (o + h + l + c) * 0.25));
_hlcc4.Add((t, (h + l + c + c) * 0.25));
}
this.OnEvent(update);
}
// delegate used by event handler + event handler (Pub == publisher)
public delegate
void NewDataEventHandler(object source, TSeriesEventArgs args);
public event NewDataEventHandler Pub;
// Broadcast handler - only to valid targets
protected virtual void OnEvent(bool update = false)
{
if (Pub != null && Pub.Target != this)
{
Pub(this, new TSeriesEventArgs { update = update });
}
}
}
namespace QuanTAlib;
using System;
/* <summary>
TBars class - includes all series for common data used in indicators and other calculations.
Has a bit limited overloading and casting (compared to TSeries)
Includes Select(int) method to simplify choosing the most optimal data source for indicators
Includes the most basic pricing calcs: HL2, OC2, OHL3, HLC3, OHLC4, HLCC4
(it is 'cheaper' to calculate them once during data capture than each time during data analysis)
</summary> */
public class TBars : System.Collections.Generic.List<(DateTime t, double o, double h, double l, double c, double v)>
{
private readonly TSeries _open = new();
private readonly TSeries _high = new();
private readonly TSeries _low = new();
private readonly TSeries _close = new();
private readonly TSeries _volume = new();
private readonly TSeries _hl2 = new();
private readonly TSeries _oc2 = new();
private readonly TSeries _ohl3 = new();
private readonly TSeries _hlc3 = new();
private readonly TSeries _ohlc4 = new();
private readonly TSeries _hlcc4 = new();
public TSeries Open => this._open;
public TSeries High => this._high;
public TSeries Low => this._low;
public TSeries Close => this._close;
public TSeries Volume => this._volume;
public TSeries HL2 => this._hl2;
public TSeries OC2 => this._oc2;
public TSeries OHL3 => this._ohl3;
public TSeries HLC3 => this._hlc3;
public TSeries OHLC4 => this._ohlc4;
public TSeries HLCC4 => this._hlcc4;
public TBars Tail(int count=10) {
TBars outBars = new();
if (count > this.Count) { count = this.Count; }
for (int i = this.Count-count; i<this.Count; i++) { outBars.Add(this[i]); }
return outBars;
}
public TSeries Select(int source)
{
return source switch
{
0 => _open,
1 => _high,
2 => _low,
3 => _close,
4 => _hl2,
5 => _oc2,
6 => _ohl3,
7 => _hlc3,
8 => _ohlc4,
_ => _hlcc4,
};
}
public static string SelectStr(int source)
{
return source switch
{
0 => "Open",
1 => "High",
2 => "Low",
3 => "Close",
4 => "HL2",
5 => "OC2",
6 => "OHL3",
7 => "Typical",
8 => "Mean",
_ => "Weighted",
};
}
public void Add((DateTime t, double o, double h, double l, double c, double v) i, bool update = false)
=> Add(i.t, i.o, i.h, i.l, i.c, i.v, update);
public void Add(DateTime t, decimal o, decimal h, decimal l, decimal c, decimal v, bool update = false)
=> Add(t, (double)o, (double)h, (double)l, (double)c, (double)v, update);
public void Add(DateTime t, double o, double h, double l, double c, double v, bool update = false)
{
if (update)
{
this[this.Count - 1] = (t, o, h, l, c, v);
_open[_open.Count - 1] = (t, o);
_high[_high.Count - 1] = (t, h);
_low[_low.Count - 1] = (t, l);
_close[_close.Count - 1] = (t, c);
_volume[_volume.Count - 1] = (t, v);
_hl2[_hl2.Count - 1] = (t, (h + l) * 0.5);
_oc2[_oc2.Count - 1] = (t, (o + c) * 0.5);
_ohl3[_ohl3.Count - 1] = (t, (o + h + l) * 0.333333333333333);
_hlc3[_hlc3.Count - 1] = (t, (h + l + c) * 0.333333333333333);
_ohlc4[_ohlc4.Count - 1] = (t, (o + h + l + c) * 0.25);
_hlcc4[_hlcc4.Count - 1] = (t, (h + l + c + c) * 0.25);
}
else
{
base.Add((t, o, h, l, c, v));
_open.Add((t, o));
_high.Add((t, h));
_low.Add((t, l));
_close.Add((t, c));
_volume.Add((t, v));
_hl2.Add((t, (h + l) * 0.5));
_oc2.Add((t, (o + c) * 0.5));
_ohl3.Add((t, (o + h + l) * 0.333333333333333));
_hlc3.Add((t, (h + l + c) * 0.333333333333333));
_ohlc4.Add((t, (o + h + l + c) * 0.25));
_hlcc4.Add((t, (h + l + c + c) * 0.25));
}
this.OnEvent(update);
}
// delegate used by event handler + event handler (Pub == publisher)
public delegate
void NewDataEventHandler(object source, TSeriesEventArgs args);
public event NewDataEventHandler Pub;
// Broadcast handler - only to valid targets
protected virtual void OnEvent(bool update = false)
{
if (Pub != null && Pub.Target != this)
{
Pub(this, new TSeriesEventArgs { update = update });
}
}
}