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https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-17 18:18:04 +00:00
Update RSI_Series to check for period != 0 before calculating RSI
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@@ -1,25 +0,0 @@
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namespace QuanTAlib;
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using System;
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using System.Linq;
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/* <summary>
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MAX - Maximum value 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 MAX_Series : Single_TSeries_Indicator
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{
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public MAX_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((DateTime t, double v) TValue, bool update)
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{
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Add_Replace_Trim(_buffer, TValue.v, _p, update);
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double _max = _buffer.Max();
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base.Add((TValue.t, _max), update, _NaN);
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}
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}
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@@ -1,37 +0,0 @@
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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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Add_Replace_Trim(_buffer, TValue.v, _p, update);
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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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base.Add((TValue.t, _mid), update, _NaN);
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}
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}
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@@ -1,25 +0,0 @@
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namespace QuanTAlib;
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using System;
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using System.Linq;
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/* <summary>
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MIN - Minimum value 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 MIN_Series : Single_TSeries_Indicator
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{
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public MIN_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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Add_Replace_Trim(_buffer, TValue.v, _p, update);
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double _min = _buffer.Min();
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base.Add((TValue.t, _min), update, _NaN);
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}
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}
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@@ -1,35 +0,0 @@
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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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@@ -1,34 +0,0 @@
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namespace QuanTAlib;
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using System;
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/* <summary>
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ZL: Zero Lag
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Data is de-lagged by removing the data from “lag” days ago, thus removing
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(or attempting to) the cumulative effect of the moving average.
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Calculation:
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Lag = (Period-1)/2
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ZL = Data + (Data - Data(Lag days ago) )
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Sources:
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https://mudrex.com/blog/zero-lag-ema-trading-strategy/
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</summary> */
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public class ZL_Series : Single_TSeries_Indicator
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{
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public ZL_Series(TSeries source, int period, bool useNaN = false) : base(source, period:period, useNaN:useNaN) {
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if (this._data.Count > 0) { base.Add(this._data); }
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}
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public override void Add((DateTime t, double v) TValue, bool update)
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{
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int _lag = (int)((_p-1) * 0.5);
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_lag = (this.Count-_lag < 0) ? 0 : this.Count-_lag;
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double _zl = TValue.v + (TValue.v - _data[_lag].v);
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var ret = (TValue.t, (base.Count==0 && base._NaN) ? double.NaN : _zl );
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base.Add(ret, update);
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}
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}
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