mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-25 22:08:05 +00:00
Bband, Ccv, Ce, Cv, Cvi, Ewma, Fcb, Gkv, Hlv
This commit is contained in:
@@ -17,6 +17,15 @@ public class StatisticsUpdateTests
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return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
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}
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private TBar GetRandomBar(bool IsNew)
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{
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double open = GetRandomDouble();
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double high = open + Math.Abs(GetRandomDouble());
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double low = open - Math.Abs(GetRandomDouble());
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double close = low + (high - low) * GetRandomDouble();
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return new TBar(DateTime.Now, open, high, low, close, 1000, IsNew);
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}
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[Fact]
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public void Curvature_Update()
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{
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@@ -47,6 +56,22 @@ public class StatisticsUpdateTests
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Hurst_Update()
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{
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var indicator = new Hurst(period: 100, minLength: 10);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Kurtosis_Update()
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{
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@@ -90,6 +90,134 @@ public class VolatilityUpdateTests
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Bband_Update()
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{
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var indicator = new Bband(period: 20, multiplier: 2.0);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Ccv_Update()
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{
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var indicator = new Ccv(period: 20);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Ce_Update()
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{
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var indicator = new Ce(period: 22, multiplier: 3.0);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Cv_Update()
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{
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var indicator = new Cv(period: 20);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Cvi_Update()
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{
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var indicator = new Cvi(period: 10, smoothPeriod: 10);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Ewma_Update()
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{
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var indicator = new Ewma(period: 20, lambda: 0.94);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Fcb_Update()
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{
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var indicator = new Fcb(period: 20, smoothing: 0.5);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Gkv_Update()
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{
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var indicator = new Gkv(period: 20);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Historical_Update()
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{
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@@ -105,6 +233,22 @@ public class VolatilityUpdateTests
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Hlv_Update()
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{
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var indicator = new Hlv(period: 20);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Jvolty_Update()
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{
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@@ -150,22 +294,6 @@ public class VolatilityUpdateTests
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Cvi_Update()
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{
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var indicator = new Cvi(period: 14);
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TBar r = GetRandomBar(true);
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double initialValue = indicator.Calc(r);
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for (int i = 0; i < RandomUpdates; i++)
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{
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indicator.Calc(GetRandomBar(IsNew: false));
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}
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double finalValue = indicator.Calc(new TBar(r.Time, r.Open, r.High, r.Low, r.Close, r.Volume, IsNew: false));
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Assert.Equal(initialValue, finalValue, precision);
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}
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[Fact]
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public void Tr_Update()
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{
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