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https://github.com/mihakralj/QuanTAlib.git
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SUM, MIDPOINT, MIDPRICE
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namespace QuanTAlib;
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using System;
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/* <summary>
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MIDPOINT: Midpoint value (max+min)/2 in the given period in the series.
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If period = 0 => period = full length of the series
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Sources:
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https://thefaqblog.com/what-is-the-midpoint-in-statistics/
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</summary> */
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public class MIDPOINT_Series : Single_TSeries_Indicator
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{
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public MIDPOINT_Series(TSeries source, int period, bool useNaN = false) : base(source, period, useNaN)
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{
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if (base._data.Count > 0)
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{ base.Add(base._data); }
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}
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private readonly System.Collections.Generic.List<double> _buffer = new();
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public override void Add((DateTime t, double v) TValue, bool update)
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{
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if (update)
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{ this._buffer[this._buffer.Count - 1] = TValue.v; }
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else
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{ this._buffer.Add(TValue.v); }
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if (this._buffer.Count > this._p && this._p != 0)
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{ this._buffer.RemoveAt(0); }
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double _max = TValue.v;
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double _min = TValue.v;
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for (int i = 0; i < this._buffer.Count; i++)
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{
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_max = Math.Max(this._buffer[i], _max);
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_min = Math.Min(this._buffer[i], _min);
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}
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double _mid = (_max + _min) * 0.5;
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var result = (TValue.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _mid);
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base.Add(result, update);
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}
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}
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@@ -0,0 +1,50 @@
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namespace QuanTAlib;
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using System;
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/* <summary>
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MIDPRICE: Midpoint price (highhest high + lowest low)/2 in the given period in the series.
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If period = 0 => period = full length of the series
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</summary> */
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public class MIDPRICE_Series : Single_TBars_Indicator
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{
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public MIDPRICE_Series(TBars source, int period, bool useNaN = false) : base(source, period, useNaN)
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{
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if (base._bars.Count > 0)
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{ base.Add(base._bars); }
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}
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private readonly System.Collections.Generic.List<double> _bufferhi = new();
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private readonly System.Collections.Generic.List<double> _bufferlo = new();
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public override void Add((DateTime t, double o, double h, double l, double c, double v) TBar, bool update)
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{
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if (update)
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{
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this._bufferhi[this._bufferhi.Count - 1] = TBar.h;
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this._bufferlo[this._bufferlo.Count - 1] = TBar.l;
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}
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else
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{
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this._bufferhi.Add(TBar.h);
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this._bufferlo.Add(TBar.l);
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}
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if (this._bufferhi.Count > this._p && this._p != 0)
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{ this._bufferhi.RemoveAt(0); }
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if (this._bufferlo.Count > this._p && this._p != 0)
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{ this._bufferlo.RemoveAt(0); }
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double _max = TBar.h;
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double _min = TBar.l;
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for (int i = 0; i < this._bufferhi.Count; i++)
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{
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_max = Math.Max(this._bufferhi[i], _max);
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_min = Math.Min(this._bufferlo[i], _min);
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}
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double _mid = (_max + _min) * 0.5;
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var result = (TBar.t, this.Count < this._p - 1 && this._NaN ? double.NaN : _mid);
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base.Add(result, update);
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}
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}
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@@ -0,0 +1,35 @@
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namespace QuanTAlib;
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using System;
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/* <summary>
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SUM: Cumulative Sum (aka Running Total)
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SUM across a period provides a rolling sum of all values across the period.
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If SUM values would be divided with period, the output would be SMA()
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Sources:
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https://en.wikipedia.org/wiki/CUSUM
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</summary> */
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public class SUM_Series : Single_TSeries_Indicator
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{
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public SUM_Series(TSeries source, int period, bool useNaN = false) : base(source, period, useNaN)
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{
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if (base._data.Count > 0) { base.Add(base._data); }
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}
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private readonly System.Collections.Generic.List<double> _buffer = new();
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public override void Add((System.DateTime t, double v) TValue, bool update)
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{
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if (update) { _buffer[_buffer.Count - 1] = TValue.v; }
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else { _buffer.Add(TValue.v); }
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if (_buffer.Count > this._p && this._p != 0) { _buffer.RemoveAt(0); }
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double _sum = 0;
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for (int i = 0; i < _buffer.Count; i++) { _sum += _buffer[i]; }
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var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _sum);
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base.Add(result, update);
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}
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}
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