sdev, psdev, alphavantage

This commit is contained in:
Miha Kralj
2022-11-06 17:20:57 -08:00
parent 32615af18b
commit 28025fbdd3
28 changed files with 1860 additions and 2545 deletions
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+52
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@@ -0,0 +1,52 @@
using System.Drawing;
using TradingPlatform.BusinessLayer;
namespace QuanTAlib;
public class JMA_chart : Indicator
{
#region Parameters
[InputParameter("Smoothing period", 0, 1, 999, 1, 1)]
private int Period = 10;
[InputParameter("Data source", 1, variants: new object[]
{ "Open", 0, "High", 1, "Low", 2, "Close", 3, "HL2", 4, "OC2", 5,
"OHL3", 6, "HLC3", 7, "OHLC4", 8, "Weighted (HLCC4)", 9 })]
private int DataSource = 3;
#endregion Parameters
private TBars bars ;
///////
private JMA_Series indicator;
///////
public JMA_chart()
{
this.SeparateWindow = false;
this.Name = "JMA - Jurik Moving Average";
this.Description = "Jurik Moving Average description";
this.AddLineSeries("JMA", Color.RoyalBlue, 3, LineStyle.Solid);
}
protected override void OnInit()
{
this.ShortName =
"JMA (" + TBars.SelectStr(this.DataSource) + ", " + this.Period + ")";
this.bars = new();
this.indicator = new(source: bars.Select(this.DataSource),
period: this.Period, useNaN: false);
}
protected override void OnUpdate(UpdateArgs args)
{
bool update = !(args.Reason == UpdateReason.NewBar ||
args.Reason == UpdateReason.HistoricalBar);
this.bars.Add(this.Time(), this.GetPrice(PriceType.Open),
this.GetPrice(PriceType.High), this.GetPrice(PriceType.Low),
this.GetPrice(PriceType.Close),
this.GetPrice(PriceType.Volume), update);
double result = this.indicator[this.indicator.Count - 1].v;
this.SetValue(result);
}
}
@@ -2,7 +2,7 @@ using System.Drawing;
using TradingPlatform.BusinessLayer; using TradingPlatform.BusinessLayer;
namespace QuanTAlib; namespace QuanTAlib;
public class SSDEV_chart : Indicator public class PSDEV_chart : Indicator
{ {
#region Parameters #region Parameters
@@ -19,22 +19,22 @@ public class SSDEV_chart : Indicator
private TBars bars; private TBars bars;
///////dotnet ///////dotnet
private SSDEV_Series indicator; private PSDEV_Series indicator;
/////// ///////
public SSDEV_chart() public PSDEV_chart()
{ {
this.SeparateWindow = true; this.SeparateWindow = true;
this.Name = "SSDEV - Sample Standard Deviation (Unbiased)"; this.Name = "PSDEV - Population Standard Deviation (Biased)";
this.Description = "SSDEV description"; this.Description = "PSDEV description";
this.AddLineSeries("SSDEV", Color.RoyalBlue, 3, LineStyle.Solid); this.AddLineSeries("PSDEV", Color.RoyalBlue, 3, LineStyle.Solid);
} }
protected override void OnInit() protected override void OnInit()
{ {
this.bars = new(); this.bars = new();
this.ShortName = this.ShortName =
"SSDEV (" + TBars.SelectStr(this.DataSource) + ", " + this.Period + ")"; "PSDEV (" + TBars.SelectStr(this.DataSource) + ", " + this.Period + ")";
this.indicator = new(source: bars.Select(this.DataSource), this.indicator = new(source: bars.Select(this.DataSource),
period: this.Period, useNaN: true); period: this.Period, useNaN: true);
} }
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using System.Drawing;
using TradingPlatform.BusinessLayer;
namespace QuanTAlib;
public class PSDEV_chart : Indicator
{
#region Parameters
[InputParameter("Smoothing period", 0, 1, 999, 1, 1)]
private int Period = 10;
[InputParameter("Data source", 1, variants: new object[]
{ "Open", 0, "High", 1, "Low", 2, "Close", 3, "HL2", 4, "OC2", 5,
"OHL3", 6, "HLC3", 7, "OHLC4", 8, "Weighted (HLCC4)", 9 })]
private int DataSource = 8;
#endregion Parameters
private TBars bars;
///////dotnet
private PSDEV_Series indicator;
///////
public PSDEV_chart()
{
this.SeparateWindow = true;
this.Name = "PSDEV - Population Standard Deviation (Biased)";
this.Description = "PSDEV description";
this.AddLineSeries("PSDEV", Color.RoyalBlue, 3, LineStyle.Solid);
}
protected override void OnInit()
{
this.bars = new();
this.ShortName =
"PSDEV (" + TBars.SelectStr(this.DataSource) + ", " + this.Period + ")";
this.indicator = new(source: bars.Select(this.DataSource),
period: this.Period, useNaN: true);
}
protected override void OnUpdate(UpdateArgs args)
{
bool update = !(args.Reason == UpdateReason.NewBar ||
args.Reason == UpdateReason.HistoricalBar);
this.bars.Add(this.Time(), this.GetPrice(PriceType.Open),
this.GetPrice(PriceType.High), this.GetPrice(PriceType.Low),
this.GetPrice(PriceType.Close),
this.GetPrice(PriceType.Volume), update);
double result = this.indicator[this.indicator.Count - 1].v;
this.SetValue(result, 0);
}
}
@@ -0,0 +1,53 @@
using System.Drawing;
using TradingPlatform.BusinessLayer;
namespace QuanTAlib;
public class PSDEV_chart : Indicator
{
#region Parameters
[InputParameter("Smoothing period", 0, 1, 999, 1, 1)]
private int Period = 10;
[InputParameter("Data source", 1, variants: new object[]
{ "Open", 0, "High", 1, "Low", 2, "Close", 3, "HL2", 4, "OC2", 5,
"OHL3", 6, "HLC3", 7, "OHLC4", 8, "Weighted (HLCC4)", 9 })]
private int DataSource = 8;
#endregion Parameters
private TBars bars;
///////dotnet
private PSDEV_Series indicator;
///////
public PSDEV_chart()
{
this.SeparateWindow = true;
this.Name = "PSDEV - Population Standard Deviation (Biased)";
this.Description = "PSDEV description";
this.AddLineSeries("PSDEV", Color.RoyalBlue, 3, LineStyle.Solid);
}
protected override void OnInit()
{
this.bars = new();
this.ShortName =
"PSDEV (" + TBars.SelectStr(this.DataSource) + ", " + this.Period + ")";
this.indicator = new(source: bars.Select(this.DataSource),
period: this.Period, useNaN: true);
}
protected override void OnUpdate(UpdateArgs args)
{
bool update = !(args.Reason == UpdateReason.NewBar ||
args.Reason == UpdateReason.HistoricalBar);
this.bars.Add(this.Time(), this.GetPrice(PriceType.Open),
this.GetPrice(PriceType.High), this.GetPrice(PriceType.Low),
this.GetPrice(PriceType.Close),
this.GetPrice(PriceType.Volume), update);
double result = this.indicator[this.indicator.Count - 1].v;
this.SetValue(result, 0);
}
}
+1 -1
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@@ -25,7 +25,7 @@ public class SDEV_chart : Indicator
public SDEV_chart() public SDEV_chart()
{ {
this.SeparateWindow = true; this.SeparateWindow = true;
this.Name = "SDEV - Population Standard Deviation (Biased)"; this.Name = "SDEV - Sample Standard Deviation (Unbiased)";
this.Description = "SDEV description"; this.Description = "SDEV description";
this.AddLineSeries("SDEV", Color.RoyalBlue, 3, LineStyle.Solid); this.AddLineSeries("SDEV", Color.RoyalBlue, 3, LineStyle.Solid);
} }
+2 -1
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@@ -72,7 +72,8 @@ public class ZLMA_chart : Indicator
4 => new TEMA_Series(source: zerolag, period: this.Period, useNaN: false), 4 => new TEMA_Series(source: zerolag, period: this.Period, useNaN: false),
5 => new HMA_Series(source: zerolag, period: this.Period, useNaN: false), 5 => new HMA_Series(source: zerolag, period: this.Period, useNaN: false),
6 => new KAMA_Series(source: zerolag, period: this.Period, useNaN: false), 6 => new KAMA_Series(source: zerolag, period: this.Period, useNaN: false),
7 => new SMMA_Series(source: zerolag, period: this.Period, useNaN: false), 7 => new JMA_Series(source: zerolag, period: this.Period, useNaN: false),
8 => new SMMA_Series(source: zerolag, period: this.Period, useNaN: false),
_ => new EMA_Series(source: zerolag, period: this.Period, useNaN: false) _ => new EMA_Series(source: zerolag, period: this.Period, useNaN: false)
}; };
} }
+1 -3
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@@ -13,8 +13,6 @@ Alphavantage - Free API to collect quotes for stock, Forex and crypto. It requir
</summary> */ </summary> */
/* TODO: refactor into three feeds: FX, Crypto, Stock */
public class Alphavantage_Feed : TBars public class Alphavantage_Feed : TBars
{ {
public enum Interval { Month, Week, Day, Hour, Min30, Min15, Min5, Min1} public enum Interval { Month, Week, Day, Hour, Min30, Min15, Min5, Min1}
@@ -115,7 +113,7 @@ public class Alphavantage_Feed : TBars
{ {
Interval.Month => "_MONTHLY", Interval.Month => "_MONTHLY",
Interval.Week => "_WEEKLY", Interval.Week => "_WEEKLY",
Interval.Day => "_DAILY_ADJUSTED", Interval.Day => "_DAILY",
Interval.Hour => "_INTRADAY&interval=60min", Interval.Hour => "_INTRADAY&interval=60min",
Interval.Min30 => "_INTRADAY&interval=30min", Interval.Min30 => "_INTRADAY&interval=30min",
Interval.Min15 => "_INTRADAY&interval=15min", Interval.Min15 => "_INTRADAY&interval=15min",
-5
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@@ -19,9 +19,6 @@ Issues:
</summary> */ </summary> */
/* TODO: This indicator is not calculating results correctly - needs to be debugged */
/*
public class JMA_Series : Single_TSeries_Indicator public class JMA_Series : Single_TSeries_Indicator
{ {
private readonly System.Collections.Generic.List<double> vbuffer10; private readonly System.Collections.Generic.List<double> vbuffer10;
@@ -160,5 +157,3 @@ public class JMA_Series : Single_TSeries_Indicator
} }
} }
*/
+2 -2
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@@ -13,7 +13,7 @@
<Authors>Miha Kralj</Authors> <Authors>Miha Kralj</Authors>
<Copyright>Miha Kralj</Copyright> <Copyright>Miha Kralj</Copyright>
<PackageReadmeFile>readme.md</PackageReadmeFile> <PackageReadmeFile>readme.md</PackageReadmeFile>
<TargetFrameworks>net6.0;netstandard2.0</TargetFrameworks> <TargetFrameworks>net7.0;net6.0;netstandard2.0</TargetFrameworks>
<ImplicitUsings>disable</ImplicitUsings> <ImplicitUsings>disable</ImplicitUsings>
<LangVersion>preview</LangVersion> <LangVersion>preview</LangVersion>
<Nullable>disable</Nullable> <Nullable>disable</Nullable>
@@ -67,6 +67,6 @@
</None> </None>
</ItemGroup> </ItemGroup>
<ItemGroup> <ItemGroup>
<PackageReference Include="System.Text.Json" Version="7.0.0-rc.2.22472.3" /> <PackageReference Include="System.Text.Json" Version="7.0.0-preview.4.22229.4" />
</ItemGroup> </ItemGroup>
</Project> </Project>
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@@ -0,0 +1,44 @@
namespace QuanTAlib;
using System;
/* <summary>
PSDEV: Population Standard Deviation
Population Standard Deviation is the square root of the biased variance, also knons as
Uncorrected Sample Standard Deviation
Sources:
https://en.wikipedia.org/wiki/Standard_deviation#Uncorrected_sample_standard_deviation
Remark:
PSDEV (Population Standard Deviation) is also known as a biased/uncorrected Standard Deviation.
For unbiased version that uses Bessel's correction, use SDEV instead.
</summary> */
public class PSDEV_Series : Single_TSeries_Indicator
{
public PSDEV_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) { _buffer[_buffer.Count - 1] = TValue.v; }
else { _buffer.Add(TValue.v); }
if (_buffer.Count > this._p && this._p != 0) { _buffer.RemoveAt(0); }
double _sma = 0;
for (int i = 0; i < _buffer.Count; i++) { _sma += _buffer[i]; }
_sma /= this._buffer.Count;
double _pvar = 0;
for (int i = 0; i < _buffer.Count; i++) { _pvar += (_buffer[i] - _sma) * (_buffer[i] - _sma); }
_pvar /= this._buffer.Count;
double _psdev = Math.Sqrt(_pvar);
var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _psdev);
base.Add(result, update);
}
}
+15 -15
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@@ -2,16 +2,16 @@
using System; using System;
/* <summary> /* <summary>
SDEV: Population Standard Deviation SDEV: (Corrected) Sample Standard Deviation
Population Standard Deviation is the square root of the biased variance, also known as Sample Standard Deviaton uses Bessel's correction to correct the bias in the variance.
Uncorrected Sample Standard Deviation
Sources: Sources:
https://en.wikipedia.org/wiki/Standard_deviation#Uncorrected_sample_standard_deviation https://en.wikipedia.org/wiki/Standard_deviation#Corrected_sample_standard_deviation
Bessel's correction: https://en.wikipedia.org/wiki/Bessel%27s_correction
Remark: Remark:
SDEV (Population Standard Deviation) is also known as a biased/uncorrected Standard Deviation. SSDEV (Sample Standard Deviation) is also known as a unbiased/corrected Standard Deviation.
For unbiased version that uses Bessel's correction, use SDEV instead. For a population/biased/uncorrected Standard Deviation, use PSDEV instead
</summary> */ </summary> */
@@ -25,20 +25,20 @@ public class SDEV_Series : Single_TSeries_Indicator
public override void Add((System.DateTime t, double v) TValue, bool update) public override void Add((System.DateTime t, double v) TValue, bool update)
{ {
if (update) { _buffer[_buffer.Count - 1] = TValue.v; } if (update) { this._buffer[this._buffer.Count - 1] = TValue.v; }
else { _buffer.Add(TValue.v); } else { this._buffer.Add(TValue.v); }
if (_buffer.Count > this._p && this._p != 0) { _buffer.RemoveAt(0); } if (this._buffer.Count > this._p && this._p != 0) { this._buffer.RemoveAt(0); }
double _sma = 0; double _sma = 0;
for (int i = 0; i < _buffer.Count; i++) { _sma += _buffer[i]; } for (int i = 0; i < this._buffer.Count; i++) { _sma += this._buffer[i]; }
_sma /= this._buffer.Count; _sma /= this._buffer.Count;
double _pvar = 0; double _svar = 0;
for (int i = 0; i < _buffer.Count; i++) { _pvar += (_buffer[i] - _sma) * (_buffer[i] - _sma); } for (int i = 0; i < this._buffer.Count; i++) { _svar += (this._buffer[i] - _sma) * (this._buffer[i] - _sma); }
_pvar /= this._buffer.Count; _svar /= (this._buffer.Count > 1) ? this._buffer.Count - 1 : 1; // Bessel's correction
double _psdev = Math.Sqrt(_pvar); double _ssdev = Math.Sqrt(_svar);
var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _psdev); var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _ssdev);
base.Add(result, update); base.Add(result, update);
} }
} }
-44
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@@ -1,44 +0,0 @@
namespace QuanTAlib;
using System;
/* <summary>
SSDEV: (Corrected) Sample Standard Deviation
Sample Standard Deviaton uses Bessel's correction to correct the bias in the variance.
Sources:
https://en.wikipedia.org/wiki/Standard_deviation#Corrected_sample_standard_deviation
Bessel's correction: https://en.wikipedia.org/wiki/Bessel%27s_correction
Remark:
SSDEV (Sample Standard Deviation) is also known as a unbiased/corrected Standard Deviation.
For a population/biased/uncorrected Standard Deviation, use SDEV instead
</summary> */
public class SSDEV_Series : Single_TSeries_Indicator
{
public SSDEV_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 _sma = 0;
for (int i = 0; i < this._buffer.Count; i++) { _sma += this._buffer[i]; }
_sma /= this._buffer.Count;
double _svar = 0;
for (int i = 0; i < this._buffer.Count; i++) { _svar += (this._buffer[i] - _sma) * (this._buffer[i] - _sma); }
_svar /= (this._buffer.Count > 1) ? this._buffer.Count - 1 : 1; // Bessel's correction
double _ssdev = Math.Sqrt(_svar);
var result = (TValue.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _ssdev);
base.Add(result, update);
}
}
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@@ -0,0 +1,33 @@
using Xunit;
using System;
using QuanTAlib;
namespace MovingAvg;
public class JMA_Test
{
[Fact]
public void Add_Test()
{
TSeries a = new() { 0, 1, 2, 3, 4, 5 };
JMA_Series c = new(a, 3);
Assert.Equal(6, c.Count);
a.Add(5);
Assert.Equal(a.Count, c.Count);
a.Add(0, update: true);
Assert.Equal(a.Count, c.Count);
}
[Fact]
public void Edge_Test()
{
TSeries a = new() { double.NaN, double.Epsilon, double.PositiveInfinity, double.MaxValue };
JMA_Series c = new(a, 3);
Assert.Equal(a.Count, c.Count);
a.Add(double.NaN);
Assert.Equal(a.Count, c.Count);
a.Add(double.PositiveInfinity);
Assert.Equal(a.Count, c.Count);
}
}
+2 -2
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@@ -9,7 +9,7 @@ public class PSDEV_Test
public void Add_Test() public void Add_Test()
{ {
TSeries a = new() { 0, 1, 2, 3, 4, 5 }; TSeries a = new() { 0, 1, 2, 3, 4, 5 };
SDEV_Series c = new(a, 3); PSDEV_Series c = new(a, 3);
Assert.Equal(6, c.Count); Assert.Equal(6, c.Count);
a.Add(5); a.Add(5);
Assert.Equal(a.Count, c.Count); Assert.Equal(a.Count, c.Count);
@@ -21,7 +21,7 @@ public class PSDEV_Test
public void Edge_Test() public void Edge_Test()
{ {
TSeries a = new() { double.NaN, double.Epsilon, double.PositiveInfinity, double.MaxValue }; TSeries a = new() { double.NaN, double.Epsilon, double.PositiveInfinity, double.MaxValue };
SDEV_Series c = new(a, 3); PSDEV_Series c = new(a, 3);
Assert.Equal(a.Count, c.Count); Assert.Equal(a.Count, c.Count);
a.Add(double.NaN); a.Add(double.NaN);
Assert.Equal(a.Count, c.Count); Assert.Equal(a.Count, c.Count);
+2 -2
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@@ -9,7 +9,7 @@ public class SDEV_Test
public void Add_Test() public void Add_Test()
{ {
TSeries a = new() { 0, 1, 2, 3, 4, 5 }; TSeries a = new() { 0, 1, 2, 3, 4, 5 };
SSDEV_Series c = new(a, 3); SDEV_Series c = new(a, 3);
Assert.Equal(6, c.Count); Assert.Equal(6, c.Count);
a.Add(5); a.Add(5);
Assert.Equal(a.Count, c.Count); Assert.Equal(a.Count, c.Count);
@@ -21,7 +21,7 @@ public class SDEV_Test
public void Edge_Test() public void Edge_Test()
{ {
TSeries a = new() { double.NaN, double.Epsilon, double.PositiveInfinity, double.MaxValue }; TSeries a = new() { double.NaN, double.Epsilon, double.PositiveInfinity, double.MaxValue };
SSDEV_Series c = new(a, 3); SDEV_Series c = new(a, 3);
Assert.Equal(a.Count, c.Count); Assert.Equal(a.Count, c.Count);
a.Add(double.NaN); a.Add(double.NaN);
Assert.Equal(a.Count, c.Count); Assert.Equal(a.Count, c.Count);
-10
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@@ -129,14 +129,4 @@ MACD_Series QL = new(this.bars.Close, slow: 26, fast: 12, signal: 9, false);
Core.Macd(this.inclose, 0, this.bars.Count - 1, outMacd: this.TALIB, outMacdSignal: macdSignal, outMacdHist: macdHist, out int outBegIdx, out _); Core.Macd(this.inclose, 0, this.bars.Count - 1, outMacd: this.TALIB, outMacdSignal: macdSignal, outMacdHist: macdHist, out int outBegIdx, out _);
Assert.Equal(Math.Round(this.TALIB[this.TALIB.Length - outBegIdx - 1], 8), Math.Round(QL.Last().v, 8)); Assert.Equal(Math.Round(this.TALIB[this.TALIB.Length - outBegIdx - 1], 8), Math.Round(QL.Last().v, 8));
} }
[Fact]
public void SDEV()
{
SDEV_Series QL = new(this.bars.Close, this.period, false);
Core.StdDev(this.inclose, 0, this.bars.Count - 1, this.TALIB, out int outBegIdx, out _, this.period);
Assert.Equal(Math.Round(this.TALIB[this.TALIB.Length - outBegIdx - 1], 8), Math.Round(QL.Last().v, 8));
}
} }
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+244
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@@ -0,0 +1,244 @@
#!csharp
#r "nuget: Plotly.NET, 2.0.0-preview.18 "
#r "nuget: Plotly.NET.Interactive, 2.0.0-preview.18 "
#r "nuget: QuanTAlib"
using Plotly.NET;
using Plotly.NET.LayoutObjects;
using QuanTAlib;
List<double> x = new() {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96};
List<double> Spike = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
List<double> Impulse = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1};
List<double> Triangle = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,33,32,31,30,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,8,7,6,5,4,3,2};
List<double> Sawtooth = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
List<double> Sine = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0.39,0.56,0.72,0.84,0.93,0.99,1,0.97,0.91,0.81,0.68,0.52,0.33,0.14,-0.06,-0.26,-0.44,-0.61,-0.76,-0.87,-0.95,-0.99,-1,-0.96,-0.88,-0.77,-0.63,-0.46,-0.28,-0.08,0.12,0.31,0.49,0.66,0.79,0.9,0.97,1,0.99,0.94,0.85,0.73,0.58,0.41,0.22,0.02,-0.17,-0.37,-0.54,-0.7,-0.83,-0.92,-0.98,-1,-0.98,-0.92,-0.82,-0.69,-0.54,-0.36,-0.17,0.03,0.23,0.42,0.59,0.74};
List<double> Chirp = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0.93,0.27,-0.59,-1,-0.71,0.05,0.75,1,0.67,0,-0.67,-0.99,-0.85,-0.34,0.31,0.81,1,0.82,0.35,-0.22,-0.71,-0.98,-0.95,-0.66,-0.2,0.31,0.72,0.96,0.98,0.78,0.43,-0.01,-0.43,-0.77,-0.96,-0.99,-0.85,-0.58,-0.23,0.16,0.51,0.79,0.95,1,0.92,0.73,0.47,0.15,-0.17,-0.47,-0.72,-0.9,-0.99,-0.99,-0.9,-0.74,-0.52,-0.26,0.01,0.28,0.53,0.73,0.88,0.97,1,0.97};
List<double> White = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,0.03,-0.4,-0.47,0.19,-0.4,-0.23,0.31,0.41,0.19,0.16,-0.5,-0.31,-0.21,0.25,0.18,-0.48,-0.1,0.38,0.29,-0.38,-0.08,-0.21,0.34,0.01,-0.46,0.28,-0.48,0.11,0.02,-0.37,0.19,-0.2,0.1,0.24,0.08,-0.22,-0.12,0.15,0.36,-0.43,-0.03,-0.32,0.45,-0.5,-0.04,-0.04,-0.08,-0.18,0.13,-0.33,-0.19,0.36,-0.39,0.2,-0.31,0.28,-0.13,-0.07,-0.29,0.37,0.03,-0.25,-0.06,-0.3,-0.08,-0.09};
List<double> Gauss = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,0,0.03,0.11,-0.1,-0.43,-0.08,0.36,-0.04,-0.04,-0.21,-0.3,0.26,0.2,0.28,0.2,0.27,-0.01,-0.1,-0.23,-0.13,-0.41,-0.23,-0.07,-0.21,0.32,-0.18,-0.48,0.3,0.46,-0.2,0.52,-0.81,-0.25,-0.21,-0.12,-0.18,0.18,0.52,0.29,0.44,0.18,-1.2,0.38,0.24,0.06,0.28,0.34,0.3,-0.13,0.19,-0.5,0.59,-0.36,0.22,-0.23,0.24,0.39,0.13,-0.33,-0.57,-0.23,0.49,-0.13,0.76,0.59,0.61};
List<double> B = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0,-0.28,0.41,-0.54,0.65,-0.75,0.84,-0.91,0.96,-0.99,1,-0.99,0.96,-0.92,0.85,-0.77,0.67,-0.56,0.44,-0.3,0.17,-0.03,-0.11,0.25,-0.39,0.51,-0.63,0.73,-0.82,0.89,-0.95,0.98,-1,0.99,-0.97,0.93,-0.86,0.78,-0.69,0.58,-0.46,0.33,-0.19,0.05,0.09,-0.23,0.36,-0.49,0.61,-0.71,0.81,-0.88,0.94,-0.98,1,-1,0.98,-0.94,0.88,-0.8,0.71,-0.6,0.48,-0.35,0.22,-0.08,-0.06};
List<double> HF = new() {-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,0,0.14,-0.76,-0.96,-0.28,0.66,0.99,0.41,-0.54,-1,-0.54,0.42,0.99,0.65,-0.29,-0.96,-0.75,0.15,0.91,0.84,-0.01,-0.85,-0.91,-0.13,0.76,0.96,0.27,-0.66,-0.99,-0.4,0.55,1,0.53,-0.43,-0.99,-0.64,0.3,0.96,0.75,-0.16,-0.92,-0.83,0.02,0.85,0.9,0.12,-0.77,-0.95,-0.26,0.67,0.99,0.4,-0.56,-1,-0.52,0.44,0.99,0.64,-0.3,-0.97,-0.74,0.17,0.92,0.83,-0.03,-0.86};
List<double> ImpulseHF = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,0.05,-0.25,-0.32,-0.09,0.22,0.33,0.14,-0.18,-0.33,-0.18,0.14,0.33,0.22,-0.1,-0.32,-0.25,0.05,0.3,0.28,0,-0.28,-0.3,-0.04,0.25,0.32,0.09,-0.22,-0.33,-0.13,0.18,0.33,0.18,0.86,0.67,0.79,1.1,1.32,1.25,0.95,0.69,0.72,1.01,1.28,1.3,1.04,0.74,0.68,0.91,1.22,1.33,1.13,0.81,0.67,0.83,1.15,1.33,1.21,0.9,0.68,0.75,1.06,1.31,1.28,0.99,0.71};
List<double> SawtoothHF = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,2.7,-0.8,-0.8,3.6,9.3,11.95,10.05,6.3,5,8.3,14.1,17.95,17.25,13.55,11.2,13.25,18.75,23.55,24.2,20.95,17.75,18.45,23.35,28.8,30.8,28.35,24.7,24.05,28,33.75,37,35.65,31.85,28.05,-3.2,1.5,4.8,3.75,-0.8,-4.6,-4.15,0.1,4.25,4.5,0.6,-3.85,-4.75,-1.3,3.35,4.95,2,-2.8,-5,-2.6,2.2,4.95,3.2,-1.5,-4.85,-3.7,0.85,4.6,4.15,-0.15,-4.3};
List<double> SineG = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,0.59,0.83,0.74,0.5,0.91,1.36,0.93,0.87,0.6,0.38,0.78,0.53,0.42,0.14,0.01,-0.45,-0.71,-0.99,-1,-1.36,-1.22,-1.07,-1.17,-0.56,-0.95,-1.11,-0.16,0.18,-0.28,0.64,-0.5,0.24,0.45,0.67,0.72,1.15,1.52,1.28,1.38,1.03,-0.47,0.96,0.65,0.28,0.3,0.17,-0.07,-0.67,-0.51,-1.33,-0.33,-1.34,-0.78,-1.21,-0.68,-0.43,-0.56,-0.87,-0.93,-0.4,0.52,0.1,1.18,1.18,1.35};
List<double> ChirpG = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1.3,0.3,-0.48,-1.1,-1.14,-0.03,1.11,0.96,0.63,-0.21,-0.97,-0.73,-0.65,-0.06,0.51,1.08,0.99,0.72,0.12,-0.35,-1.12,-1.21,-1.02,-0.87,0.12,0.13,0.24,1.26,1.44,0.58,0.95,-0.82,-0.68,-0.98,-1.08,-1.17,-0.67,-0.06,0.06,0.6,0.69,-0.41,1.33,1.24,0.98,1.01,0.81,0.45,-0.3,-0.28,-1.22,-0.31,-1.35,-0.77,-1.13,-0.5,-0.13,-0.13,-0.32,-0.29,0.3,1.22,0.75,1.73,1.59,1.58};
List<double> Complex = new() {175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.44,176.27,176.04,176.99,175.49,175.68,174.34,176.4,174.05,174.4,174.2,176.16,175,177.72,174.33,176.96,174.62,174.76,170.9,171.12,171.05,170.01,169.24,172.64,171.96,175.72,174.16,175.81,177.3,178.38,176.75,177.19,175.55,178.49,176.52,178.45,178.04,178.25,177.8,176.97,172.94,174.92,173.98,172.29,171.19,172.54,172.11,175.32,175.63,176.65,173.8,176.04,172.74,175.24,171.84,171.54,172.17,171.85,172.38,170.78,173.49,173.69,171.71,174.38,173.99,174.83};
List<double> Market = new() {68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,68.75,68.25,67.75,67.75,72.75,74.75,72.25,71.25,71.75,72.75,77.75,76,76,76,74.75,75.5,74.75,73.75,74,74.75,72.25,72.5,72.25,74.5,74.75,75.75,75.75,75.75,74.25,73.75,74.75,72,71.75,72.5,72.25,71,72,71.75,71.75,73.25,72.5,73.75,74,76.75,75.75,75,75.75,74.5,74.25,73.5,71.75,70.5,69,70.5,70,68.75,67.25,68.5,70.75,70,70.5,68.25,68.25,68.25,63.75,64.25};
#!csharp
TSeries data = new();
// change these two values - the period and the type of observed indicator
// currently available indicators are: DEMA_Series, EMA_Series, HEMA_Series, HMA_Series, JMA_Series, RMA_Series, SMA_Series, TEMA_Series, WMA_Series and ZLEMA_Series
int Period = 20;
HMA_Series indicator=new(source: data, period: Period);
//On charts below, blue line is the data input, the green line is a JMA reference
#!csharp
var series = Spike;
ZLEMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count-1; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Spike");
chart
#!csharp
var series = Impulse;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count-1; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Impulse");
chart
#!csharp
var series = Triangle;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x, series, false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Triangle");
chart
#!csharp
var series = Sawtooth;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Sawtooth");
chart
#!csharp
var series = Sine;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Sine");
chart
#!csharp
var series = Chirp;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Chirp");
chart
#!csharp
var series = White;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("White");
chart
#!csharp
var series = Gauss;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Gauss");
chart
#!csharp
var series = B;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("B");
chart
#!csharp
var series = HF;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("HF");
chart
#!csharp
var series = ImpulseHF;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("ImpulseHF");
chart
#!csharp
var series = SawtoothHF;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("SawtoothHF");
chart
#!csharp
var series = SineG;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("SineG");
chart
#!csharp
var series = ChirpG;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("ChirpG");
chart
#!csharp
var series = Complex;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Complex");
chart
#!csharp
var series = Market;
data = new();
indicator=new(source: data, period: Period);
JMA_Series reference = new(source: data, period: Period);
for (int i=0; i<x.Count; i++) data.Add(((DateTime.Today.AddDays(-x.Count+i)), series[i]));
GenericChart.GenericChart ch1 = Chart2D.Chart.Line<double,double,bool>(x,series,false,"data").WithLineStyle(Width: 1.0, Color: Color.fromString("blue"));
GenericChart.GenericChart ch2 = Chart2D.Chart.Line<double,double,bool>(x,indicator.v,false,"sig").WithLineStyle(Width: 2, Color: Color.fromString("red"));
GenericChart.GenericChart ch3 = Chart2D.Chart.Line<double,double,bool>(x,reference.v,false,"ref").WithLineStyle(Width: 1.5, Color: Color.fromString("green"));
var chart = Chart.Combine(new []{ch1,ch2,ch3}).WithSize(1200,400).WithMargin(Margin.init<int, int, int, int, int, bool>(1,1,60,1,1,false)).WithTitle("Maket");
chart
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