mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-21 03:58:04 +00:00
Merge branch 'dev' into main
This commit is contained in:
@@ -0,0 +1,167 @@
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using TradingPlatform.BusinessLayer;
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using QuanTAlib;
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namespace QuanTAlib.Tests;
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public sealed class DymiIndicatorTests
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{
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[Fact]
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public void DymiIndicator_Constructor_SetsDefaults()
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{
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var indicator = new DymiIndicator();
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Assert.Equal(14, indicator.BasePeriod);
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Assert.Equal(5, indicator.ShortPeriod);
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Assert.Equal(10, indicator.LongPeriod);
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Assert.Equal(3, indicator.MinPeriod);
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Assert.Equal(30, indicator.MaxPeriod);
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Assert.Equal(SourceType.Close, indicator.Source);
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Assert.True(indicator.ShowColdValues);
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Assert.Equal("DYMI - Dynamic Momentum Index", indicator.Name);
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Assert.True(indicator.SeparateWindow);
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Assert.True(indicator.OnBackGround);
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}
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[Fact]
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public void DymiIndicator_MinHistoryDepths_EqualsZero()
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{
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var indicator = new DymiIndicator();
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Assert.Equal(0, DymiIndicator.MinHistoryDepths);
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IWatchlistIndicator watchlistIndicator = indicator;
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Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
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}
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[Fact]
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public void DymiIndicator_ShortName_IncludesParameters()
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{
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var indicator = new DymiIndicator
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{
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BasePeriod = 10,
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ShortPeriod = 4,
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LongPeriod = 8,
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MinPeriod = 2,
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MaxPeriod = 20
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};
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indicator.Initialize();
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Assert.Contains("DYMI", indicator.ShortName, StringComparison.Ordinal);
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Assert.Contains("10", indicator.ShortName, StringComparison.Ordinal);
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Assert.Contains("4", indicator.ShortName, StringComparison.Ordinal);
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Assert.Contains("8", indicator.ShortName, StringComparison.Ordinal);
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Assert.Contains("20", indicator.ShortName, StringComparison.Ordinal);
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}
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[Fact]
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public void DymiIndicator_SourceCodeLink_IsValid()
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{
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var indicator = new DymiIndicator();
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Assert.Contains("github.com", indicator.SourceCodeLink, StringComparison.Ordinal);
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Assert.Contains("Dymi.Quantower.cs", indicator.SourceCodeLink, StringComparison.Ordinal);
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}
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[Fact]
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public void DymiIndicator_Initialize_CreatesLineSeries()
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{
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var indicator = new DymiIndicator
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{
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BasePeriod = 14,
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ShortPeriod = 5,
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LongPeriod = 10,
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MinPeriod = 3,
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MaxPeriod = 30
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};
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indicator.Initialize();
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Assert.Single(indicator.LinesSeries);
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}
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[Fact]
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public void DymiIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
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{
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var indicator = new DymiIndicator
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{
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BasePeriod = 14,
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ShortPeriod = 5,
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LongPeriod = 10,
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MinPeriod = 3,
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MaxPeriod = 30
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};
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indicator.Initialize();
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var now = DateTime.UtcNow;
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for (int i = 0; i < 60; i++)
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{
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double price = 100.0 + (Math.Sin(i * 0.3) * 10.0) + (i * 0.1);
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indicator.HistoricalData.AddBar(now.AddMinutes(i), price + 5, price + 10, price - 5, price);
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var args = new UpdateArgs(UpdateReason.HistoricalBar);
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indicator.ProcessUpdate(args);
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}
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double value = indicator.LinesSeries[0].GetValue(0);
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Assert.True(double.IsFinite(value));
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Assert.True(value >= 0.0 && value <= 100.0, $"DYMI={value} out of [0,100]");
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}
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[Fact]
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public void DymiIndicator_ProcessUpdate_NewBar_ComputesValue()
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{
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var indicator = new DymiIndicator
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{
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BasePeriod = 14,
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ShortPeriod = 5,
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LongPeriod = 10,
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MinPeriod = 3,
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MaxPeriod = 30
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};
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indicator.Initialize();
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var now = DateTime.UtcNow;
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for (int i = 0; i < 50; i++)
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{
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double price = 100.0 + (i * 0.5);
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indicator.HistoricalData.AddBar(now.AddMinutes(i), price + 3, price + 6, price - 3, price);
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var reason = i < 49 ? UpdateReason.HistoricalBar : UpdateReason.NewBar;
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var args = new UpdateArgs(reason);
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indicator.ProcessUpdate(args);
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}
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double value = indicator.LinesSeries[0].GetValue(0);
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Assert.True(double.IsFinite(value));
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}
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[Fact]
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public void DymiIndicator_DifferentSourceTypes_ComputeWithoutError()
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{
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foreach (var sourceType in new[] { SourceType.Close, SourceType.Open, SourceType.High, SourceType.Low })
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{
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var indicator = new DymiIndicator
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{
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BasePeriod = 14,
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ShortPeriod = 5,
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LongPeriod = 10,
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MinPeriod = 3,
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MaxPeriod = 30,
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Source = sourceType
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};
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indicator.Initialize();
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var now = DateTime.UtcNow;
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for (int i = 0; i < 30; i++)
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{
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double price = 100.0 + i;
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indicator.HistoricalData.AddBar(now.AddMinutes(i), price, price + 5, price - 5, price + 1);
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var args = new UpdateArgs(UpdateReason.HistoricalBar);
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indicator.ProcessUpdate(args);
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}
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double value = indicator.LinesSeries[0].GetValue(0);
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Assert.True(double.IsFinite(value), $"SourceType {sourceType}: value={value}");
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}
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}
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}
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@@ -0,0 +1,475 @@
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using Xunit;
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namespace QuanTAlib.Tests;
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public sealed class DymiTests
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{
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private const double Tolerance = 1e-10;
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// ───── A) Constructor validation ─────
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[Fact]
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public void Constructor_BasePeriodOne_ThrowsArgumentException()
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{
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var ex = Assert.Throws<ArgumentException>(() => new Dymi(basePeriod: 1));
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Assert.Equal("basePeriod", ex.ParamName);
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}
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[Fact]
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public void Constructor_ShortPeriodOne_ThrowsArgumentException()
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{
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var ex = Assert.Throws<ArgumentException>(() => new Dymi(shortPeriod: 1));
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Assert.Equal("shortPeriod", ex.ParamName);
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}
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[Fact]
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public void Constructor_LongPeriodEqualShortPeriod_ThrowsArgumentException()
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{
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var ex = Assert.Throws<ArgumentException>(() => new Dymi(shortPeriod: 5, longPeriod: 5));
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Assert.Equal("longPeriod", ex.ParamName);
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}
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[Fact]
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public void Constructor_LongPeriodLessThanShortPeriod_ThrowsArgumentException()
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{
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var ex = Assert.Throws<ArgumentException>(() => new Dymi(shortPeriod: 10, longPeriod: 5));
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Assert.Equal("longPeriod", ex.ParamName);
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}
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[Fact]
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public void Constructor_MinPeriodOne_ThrowsArgumentException()
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{
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var ex = Assert.Throws<ArgumentException>(() => new Dymi(minPeriod: 1));
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Assert.Equal("minPeriod", ex.ParamName);
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}
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[Fact]
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public void Constructor_MaxPeriodLessThanMinPeriod_ThrowsArgumentException()
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{
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var ex = Assert.Throws<ArgumentException>(() => new Dymi(minPeriod: 10, maxPeriod: 5));
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Assert.Equal("maxPeriod", ex.ParamName);
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}
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[Fact]
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public void Constructor_ValidDefaults_SetsProperties()
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{
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var d = new Dymi();
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Assert.Equal(14, d.BasePeriod);
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Assert.Equal(5, d.ShortPeriod);
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Assert.Equal(10, d.LongPeriod);
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Assert.Equal(3, d.MinPeriod);
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Assert.Equal(30, d.MaxPeriod);
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Assert.Equal("Dymi(14,5,10,3,30)", d.Name);
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Assert.False(d.IsHot);
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}
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[Fact]
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public void Constructor_CustomPeriods_SetsProperties()
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{
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var d = new Dymi(basePeriod: 10, shortPeriod: 3, longPeriod: 7, minPeriod: 2, maxPeriod: 20);
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Assert.Equal(10, d.BasePeriod);
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Assert.Equal(3, d.ShortPeriod);
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Assert.Equal(7, d.LongPeriod);
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Assert.Equal(2, d.MinPeriod);
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Assert.Equal(20, d.MaxPeriod);
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}
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[Fact]
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public void BatchSpan_OutputLengthMismatch_ThrowsArgumentException()
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{
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var src = new double[] { 1, 2, 3 };
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var out1 = new double[4];
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var ex = Assert.Throws<ArgumentException>(() => Dymi.Batch(src, out1));
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Assert.Equal("output", ex.ParamName);
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}
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[Fact]
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public void BatchSpan_BasePeriodOne_ThrowsArgumentException()
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{
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var src = new double[] { 1, 2, 3 };
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var out1 = new double[3];
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var ex = Assert.Throws<ArgumentException>(() => Dymi.Batch(src, out1, basePeriod: 1));
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Assert.Equal("basePeriod", ex.ParamName);
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}
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[Fact]
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public void BatchSpan_LongPeriodEqualShort_ThrowsArgumentException()
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{
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var src = new double[] { 1, 2, 3 };
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var out1 = new double[3];
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var ex = Assert.Throws<ArgumentException>(() => Dymi.Batch(src, out1, shortPeriod: 5, longPeriod: 5));
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Assert.Equal("longPeriod", ex.ParamName);
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}
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[Fact]
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public void BatchSpan_MaxPeriodLessThanMin_ThrowsArgumentException()
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{
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var src = new double[] { 1, 2, 3 };
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var out1 = new double[3];
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var ex = Assert.Throws<ArgumentException>(() => Dymi.Batch(src, out1, minPeriod: 5, maxPeriod: 3));
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Assert.Equal("maxPeriod", ex.ParamName);
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}
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// ───── B) Basic calculation ─────
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[Fact]
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public void Update_ReturnsTValue()
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{
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var d = new Dymi();
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var result = d.Update(new TValue(DateTime.UtcNow, 100.0));
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Assert.IsType<TValue>(result);
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}
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[Fact]
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public void Update_OutputInRange0To100()
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{
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var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
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var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.3, seed: 42);
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var bars = gbm.Fetch(300, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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foreach (var bar in bars.Close)
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{
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double v = d.Update(bar).Value;
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Assert.True(v >= 0.0 && v <= 100.0, $"DYMI={v} out of [0,100]");
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}
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}
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[Fact]
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public void Update_NameIsAccessible()
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{
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var d = new Dymi(14, 5, 10, 3, 30);
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_ = d.Update(new TValue(DateTime.UtcNow, 100.0));
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Assert.Equal("Dymi(14,5,10,3,30)", d.Name);
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}
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[Fact]
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public void Update_LastIsAccessible()
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{
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var d = new Dymi();
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var t = new TValue(DateTime.UtcNow, 100.0);
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var result = d.Update(t);
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Assert.Equal(result, d.Last);
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}
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// ───── C) State + bar correction ─────
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[Fact]
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public void Update_IsNewTrue_AdvancesState()
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{
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var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
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var t = DateTime.UtcNow;
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d.Update(new TValue(t, 100.0), isNew: true);
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var v1 = d.Last;
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d.Update(new TValue(t.AddMinutes(1), 105.0), isNew: true);
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var v2 = d.Last;
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Assert.NotEqual(default, v1);
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Assert.NotEqual(default, v2);
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}
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[Fact]
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public void Update_IsNewFalse_RollsBack()
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{
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var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
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double[] prices = [100, 102, 104, 103, 105, 107, 106, 108, 110, 109, 111, 113];
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var t = DateTime.UtcNow;
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for (int i = 0; i < prices.Length; i++)
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{
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d.Update(new TValue(t.AddMinutes(i), prices[i]), isNew: true);
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}
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// Correction with new price
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d.Update(new TValue(t.AddMinutes(prices.Length), 150.0), isNew: false);
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var corrected1 = d.Last.Value;
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// Same correction again must be idempotent
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d.Update(new TValue(t.AddMinutes(prices.Length), 150.0), isNew: false);
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var corrected2 = d.Last.Value;
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Assert.Equal(corrected1, corrected2, Tolerance);
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}
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[Fact]
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public void Update_IterativeCorrections_Restore()
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{
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var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
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double[] prices = [100, 102, 98, 105, 103, 107, 101, 108, 100, 109, 102, 110];
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var t = DateTime.UtcNow;
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for (int i = 0; i < prices.Length; i++)
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{
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d.Update(new TValue(t.AddMinutes(i), prices[i]), isNew: true);
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}
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// Capture state after last isNew=true
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var baseline = d.Last.Value;
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// Multiple corrections (each restores to prior state)
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d.Update(new TValue(t.AddMinutes(prices.Length), 90.0), isNew: false);
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d.Update(new TValue(t.AddMinutes(prices.Length), 120.0), isNew: false);
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d.Update(new TValue(t.AddMinutes(prices.Length), prices[^1]), isNew: false);
|
||||
|
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// Correction with same price as baseline should reproduce baseline
|
||||
Assert.Equal(baseline, d.Last.Value, Tolerance);
|
||||
}
|
||||
|
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[Fact]
|
||||
public void Update_Reset_ClearsState()
|
||||
{
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
|
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var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 7);
|
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var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
|
||||
foreach (var bar in bars.Close)
|
||||
{
|
||||
d.Update(bar, isNew: true);
|
||||
}
|
||||
|
||||
d.Reset();
|
||||
Assert.False(d.IsHot);
|
||||
Assert.Equal(default, d.Last);
|
||||
}
|
||||
|
||||
// ───── D) Warmup / convergence ─────
|
||||
|
||||
[Fact]
|
||||
public void IsHot_FlipsAfterWarmup()
|
||||
{
|
||||
// Use small periods to make warmup manageable
|
||||
var d = new Dymi(basePeriod: 5, shortPeriod: 3, longPeriod: 5, minPeriod: 2, maxPeriod: 10);
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.3, seed: 11);
|
||||
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
|
||||
bool everHot = false;
|
||||
foreach (var bar in bars.Close)
|
||||
{
|
||||
d.Update(bar, isNew: true);
|
||||
if (d.IsHot)
|
||||
{
|
||||
everHot = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
Assert.True(everHot, "DYMI should become hot within 200 bars");
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void WarmupPeriod_IsLongPeriodPlusMaxPeriod()
|
||||
{
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
|
||||
Assert.Equal(40, d.WarmupPeriod); // longPeriod(10) + maxPeriod(30)
|
||||
}
|
||||
|
||||
// ───── E) Robustness: NaN / Infinity ─────
|
||||
|
||||
[Fact]
|
||||
public void Update_NaN_UsesLastValid()
|
||||
{
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
|
||||
var t = DateTime.UtcNow;
|
||||
|
||||
// Feed valid values first
|
||||
for (int i = 0; i < 20; i++)
|
||||
{
|
||||
d.Update(new TValue(t.AddMinutes(i), 100.0 + i), isNew: true);
|
||||
}
|
||||
|
||||
// Feed NaN — should not produce NaN output
|
||||
var result = d.Update(new TValue(t.AddMinutes(20), double.NaN), isNew: true);
|
||||
Assert.True(double.IsFinite(result.Value), $"Expected finite, got {result.Value}");
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Update_Infinity_UsesLastValid()
|
||||
{
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
|
||||
var t = DateTime.UtcNow;
|
||||
|
||||
for (int i = 0; i < 20; i++)
|
||||
{
|
||||
d.Update(new TValue(t.AddMinutes(i), 100.0 + i), isNew: true);
|
||||
}
|
||||
|
||||
var result = d.Update(new TValue(t.AddMinutes(20), double.PositiveInfinity), isNew: true);
|
||||
Assert.True(double.IsFinite(result.Value), $"Expected finite, got {result.Value}");
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Update_BatchNaN_AllFinite()
|
||||
{
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
|
||||
var t = DateTime.UtcNow;
|
||||
|
||||
// Mix NaN into sequence
|
||||
double[] prices = [100, 101, double.NaN, 102, 103, double.NaN, double.NaN, 104, 105, 106,
|
||||
107, 108, 109, 110, 111, 112, 113, 114, 115, 116];
|
||||
for (int i = 0; i < prices.Length; i++)
|
||||
{
|
||||
var result = d.Update(new TValue(t.AddMinutes(i), prices[i]), isNew: true);
|
||||
Assert.True(double.IsFinite(result.Value));
|
||||
}
|
||||
}
|
||||
|
||||
// ───── F) Consistency: batch == streaming == span ─────
|
||||
|
||||
[Fact]
|
||||
public void Consistency_BatchTSeries_MatchesStreaming()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 2001);
|
||||
var bars = gbm.Fetch(300, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
TSeries source = bars.Close;
|
||||
|
||||
// Streaming
|
||||
var streaming = new Dymi(14, 5, 10, 3, 30);
|
||||
var streamVals = new double[source.Count];
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
streamVals[i] = streaming.Update(source[i]).Value;
|
||||
}
|
||||
|
||||
// Batch TSeries
|
||||
TSeries batchTs = Dymi.Batch(source, 14, 5, 10, 3, 30);
|
||||
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
Assert.Equal(streamVals[i], batchTs.Values[i], Tolerance);
|
||||
}
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Consistency_BatchSpan_MatchesBatchTSeries()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 2002);
|
||||
var bars = gbm.Fetch(300, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
TSeries source = bars.Close;
|
||||
|
||||
TSeries batchTs = Dymi.Batch(source, 14, 5, 10, 3, 30);
|
||||
|
||||
var spanOut = new double[source.Count];
|
||||
Dymi.Batch(source.Values, spanOut, 14, 5, 10, 3, 30);
|
||||
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
Assert.Equal(batchTs.Values[i], spanOut[i], Tolerance);
|
||||
}
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Consistency_Eventing_MatchesStreaming()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 2003);
|
||||
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
TSeries source = bars.Close;
|
||||
|
||||
// Streaming
|
||||
var streaming = new Dymi(14, 5, 10, 3, 30);
|
||||
var streamVals = new double[source.Count];
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
streamVals[i] = streaming.Update(source[i]).Value;
|
||||
}
|
||||
|
||||
// Event-based
|
||||
var eventTs = new TSeries();
|
||||
var eventDymi = new Dymi(eventTs, 14, 5, 10, 3, 30);
|
||||
var eventVals = new double[source.Count];
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
eventTs.Add(source[i]);
|
||||
eventVals[i] = eventDymi.Last.Value;
|
||||
}
|
||||
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
Assert.Equal(streamVals[i], eventVals[i], Tolerance);
|
||||
}
|
||||
}
|
||||
|
||||
// ───── G) Span API tests ─────
|
||||
|
||||
[Fact]
|
||||
public void BatchSpan_EmptySource_DoesNotThrow()
|
||||
{
|
||||
var src = Array.Empty<double>();
|
||||
var out1 = Array.Empty<double>();
|
||||
Dymi.Batch(src, out1);
|
||||
Assert.Empty(out1);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void BatchSpan_LargeData_NoStackOverflow()
|
||||
{
|
||||
int n = 2000;
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 9999);
|
||||
var bars = gbm.Fetch(n, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
var src = bars.Close.Values;
|
||||
var out1 = new double[n];
|
||||
|
||||
// Should not throw StackOverflowException — uses ArrayPool for large buffers
|
||||
Dymi.Batch(src, out1);
|
||||
|
||||
bool anyFinite = false;
|
||||
for (int i = 0; i < n; i++)
|
||||
{
|
||||
Assert.True(out1[i] >= 0.0 && out1[i] <= 100.0);
|
||||
if (double.IsFinite(out1[i]))
|
||||
{
|
||||
anyFinite = true;
|
||||
}
|
||||
}
|
||||
|
||||
Assert.True(anyFinite);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void BatchSpan_OutputAlwaysInRange()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 50.0, mu: 0.05, sigma: 0.5, seed: 777);
|
||||
var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
var src = bars.Close.Values;
|
||||
var out1 = new double[src.Length];
|
||||
|
||||
Dymi.Batch(src, out1);
|
||||
|
||||
for (int i = 0; i < src.Length; i++)
|
||||
{
|
||||
Assert.True(out1[i] >= 0.0 && out1[i] <= 100.0, $"out1[{i}]={out1[i]} out of [0,100]");
|
||||
}
|
||||
}
|
||||
|
||||
// ───── H) Chainability ─────
|
||||
|
||||
[Fact]
|
||||
public void Chainability_PubFires()
|
||||
{
|
||||
var source = new TSeries();
|
||||
var d = new Dymi(source, 14, 5, 10, 3, 30);
|
||||
|
||||
int count = 0;
|
||||
d.Pub += (object? _, in TValueEventArgs e) => count++;
|
||||
|
||||
var t = DateTime.UtcNow;
|
||||
for (int i = 0; i < 10; i++)
|
||||
{
|
||||
source.Add(new TValue(t.AddMinutes(i), 100.0 + i));
|
||||
}
|
||||
|
||||
Assert.Equal(10, count);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Chainability_EventBasedChaining_Works()
|
||||
{
|
||||
var source = new TSeries();
|
||||
var d = new Dymi(source, 14, 5, 10, 3, 30);
|
||||
var output = new TSeries();
|
||||
d.Pub += (object? _, in TValueEventArgs e) => output.Add(e.Value);
|
||||
|
||||
var t = DateTime.UtcNow;
|
||||
for (int i = 0; i < 30; i++)
|
||||
{
|
||||
source.Add(new TValue(t.AddMinutes(i), 100.0 + (i * 0.5)));
|
||||
}
|
||||
|
||||
Assert.Equal(30, output.Count);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,246 @@
|
||||
using Xunit;
|
||||
|
||||
using OoplesFinance.StockIndicators;
|
||||
using OoplesFinance.StockIndicators.Models;
|
||||
|
||||
namespace QuanTAlib.Tests;
|
||||
|
||||
/// <summary>
|
||||
/// Self-consistency validation for DYMI.
|
||||
/// No external library implements DYMI in C# bindings, so validation uses:
|
||||
/// 1. Mathematical identity: when shortPeriod == longPeriod → V ≈ 1 → dynPeriod ≈ basePeriod → matches standard RSI(basePeriod)
|
||||
/// 2. Batch == streaming == span == eventing consistency
|
||||
/// 3. Output always in [0, 100]
|
||||
/// 4. Period adapts: shorter in high-vol, longer in low-vol
|
||||
/// </summary>
|
||||
public sealed class DymiValidationTests
|
||||
{
|
||||
private const double Tolerance = 1e-10;
|
||||
|
||||
// ── Self-consistency: batch TSeries == streaming ──
|
||||
|
||||
[Fact]
|
||||
public void Streaming_MatchesBatch_DefaultParams()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 3001);
|
||||
var bars = gbm.Fetch(300, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
TSeries source = bars.Close;
|
||||
|
||||
// Streaming
|
||||
var streaming = new Dymi(14, 5, 10, 3, 30);
|
||||
var streamVals = new double[source.Count];
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
streamVals[i] = streaming.Update(source[i]).Value;
|
||||
}
|
||||
|
||||
// Batch TSeries
|
||||
TSeries batchTs = Dymi.Batch(source, 14, 5, 10, 3, 30);
|
||||
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
Assert.Equal(streamVals[i], batchTs.Values[i], Tolerance);
|
||||
}
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Span_MatchesBatch_DefaultParams()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 3002);
|
||||
var bars = gbm.Fetch(300, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
TSeries source = bars.Close;
|
||||
|
||||
// Batch TSeries
|
||||
TSeries batchTs = Dymi.Batch(source, 14, 5, 10, 3, 30);
|
||||
|
||||
// Span batch
|
||||
var spanOut = new double[source.Count];
|
||||
Dymi.Batch(source.Values, spanOut, 14, 5, 10, 3, 30);
|
||||
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
Assert.Equal(batchTs.Values[i], spanOut[i], Tolerance);
|
||||
}
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Eventing_MatchesStreaming()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 3003);
|
||||
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
TSeries source = bars.Close;
|
||||
|
||||
// Streaming
|
||||
var streaming = new Dymi(14, 5, 10, 3, 30);
|
||||
var streamVals = new double[source.Count];
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
streamVals[i] = streaming.Update(source[i]).Value;
|
||||
}
|
||||
|
||||
// Event-based
|
||||
var eventTs = new TSeries();
|
||||
var eventDymi = new Dymi(eventTs, 14, 5, 10, 3, 30);
|
||||
var eventVals = new double[source.Count];
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
eventTs.Add(source[i]);
|
||||
eventVals[i] = eventDymi.Last.Value;
|
||||
}
|
||||
|
||||
for (int i = 0; i < source.Count; i++)
|
||||
{
|
||||
Assert.Equal(streamVals[i], eventVals[i], Tolerance);
|
||||
}
|
||||
}
|
||||
|
||||
// ── Output always in [0, 100] under various conditions ──
|
||||
|
||||
[Fact]
|
||||
public void Output_AlwaysInRange0To100_HighVolatility()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 50.0, mu: 0.05, sigma: 0.8, seed: 3004);
|
||||
var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
|
||||
var d = new Dymi(14, 5, 10, 3, 30);
|
||||
foreach (var bar in bars.Close)
|
||||
{
|
||||
double v = d.Update(bar).Value;
|
||||
Assert.True(v >= 0.0 && v <= 100.0, $"DYMI={v} at high vol");
|
||||
}
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Output_AlwaysInRange0To100_LowVolatility()
|
||||
{
|
||||
// Very low sigma → near-zero stddev → V near 1 → dynPeriod ≈ basePeriod
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.001, sigma: 0.01, seed: 3005);
|
||||
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
|
||||
var d = new Dymi(14, 5, 10, 3, 30);
|
||||
foreach (var bar in bars.Close)
|
||||
{
|
||||
double v = d.Update(bar).Value;
|
||||
Assert.True(v >= 0.0 && v <= 100.0, $"DYMI={v} at low vol");
|
||||
}
|
||||
}
|
||||
|
||||
// ── Mathematical identity: symmetric StdDev window degenerates toward standard RSI ──
|
||||
|
||||
[Fact]
|
||||
public void SymmetricVolatility_WhenShortSdEqualsLongSd_DynPeriodEqualsBase()
|
||||
{
|
||||
// Use a carefully constructed series where short and long StdDev are equal.
|
||||
// In practice with identical window sizes, sdShort == sdLong → V == 1 → dynPeriod == basePeriod.
|
||||
// We verify this by using shortPeriod == longPeriod-1 and checking that the
|
||||
// output remains stable (not diverging) — the mathematical identity cannot
|
||||
// be perfectly tested without identical windows, but we verify range stability.
|
||||
//
|
||||
// For the true identity test: construct a series with constant differences
|
||||
// such that a window of any size yields the same stddev.
|
||||
// A simpler verification: at V=1, dynPeriod = round(basePeriod/1) = basePeriod.
|
||||
// We verify that DYMI output matches Rsi(basePeriod) on a constant-drift series.
|
||||
|
||||
// Construct a series with perfectly constant increments → stddev of close levels
|
||||
// is the same in short and long windows only if windows cover the same prices,
|
||||
// which is true when shortPeriod == longPeriod. We approximate by using very
|
||||
// close periods and checking that output is nearly identical to standard RSI.
|
||||
|
||||
// Using longPeriod just 1 more than shortPeriod and monitoring range
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 9, longPeriod: 10, minPeriod: 14, maxPeriod: 14);
|
||||
var rsi = new Rsi(14);
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.15, seed: 3006);
|
||||
var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
|
||||
// When minPeriod == maxPeriod == basePeriod, dynPeriod is always fixed at basePeriod
|
||||
// → DYMI is identical to standard RSI(basePeriod)
|
||||
foreach (var bar in bars.Close)
|
||||
{
|
||||
double dymiVal = d.Update(bar).Value;
|
||||
double rsiVal = rsi.Update(bar).Value;
|
||||
// With fixed dynPeriod=14, both should match
|
||||
Assert.Equal(rsiVal, dymiVal, 1e-9);
|
||||
}
|
||||
}
|
||||
|
||||
// ── Range validation: period adapts correctly ──
|
||||
|
||||
[Fact]
|
||||
public void AdaptivePeriod_HighVolConsecutiveBars_ProducesLowerPeriod()
|
||||
{
|
||||
// When short-term vol > long-term vol (V > 1), dynPeriod < basePeriod.
|
||||
// We test this indirectly: high-vol data should produce faster RSI transitions.
|
||||
// In high-vol regime, DYMI changes more rapidly than fixed-period RSI.
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 3, longPeriod: 20, minPeriod: 3, maxPeriod: 30);
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.0, sigma: 0.4, seed: 3007);
|
||||
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
|
||||
// Output should always remain in bounds regardless of period adaptation
|
||||
foreach (var bar in bars.Close)
|
||||
{
|
||||
double v = d.Update(bar).Value;
|
||||
Assert.True(v >= 0.0 && v <= 100.0);
|
||||
}
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Determinism_SameSeed_ProducesIdenticalResults()
|
||||
{
|
||||
var gbm1 = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 4001);
|
||||
var gbm2 = new GBM(startPrice: 100.0, mu: 0.01, sigma: 0.2, seed: 4001);
|
||||
var bars1 = gbm1.Fetch(150, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
var bars2 = gbm2.Fetch(150, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
|
||||
var d1 = new Dymi(14, 5, 10, 3, 30);
|
||||
var d2 = new Dymi(14, 5, 10, 3, 30);
|
||||
|
||||
for (int i = 0; i < bars1.Close.Count; i++)
|
||||
{
|
||||
double v1 = d1.Update(bars1.Close[i]).Value;
|
||||
double v2 = d2.Update(bars2.Close[i]).Value;
|
||||
Assert.Equal(v1, v2, Tolerance);
|
||||
}
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void BatchSpan_EmptySource_ReturnsEmptyOutput()
|
||||
{
|
||||
var src = Array.Empty<double>();
|
||||
var out1 = Array.Empty<double>();
|
||||
Dymi.Batch(src, out1);
|
||||
Assert.Empty(out1);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Streaming_ConstantPrice_ProducesStable50()
|
||||
{
|
||||
// When price is constant, gain=0, loss=0 → RSI = 50
|
||||
var d = new Dymi(basePeriod: 14, shortPeriod: 5, longPeriod: 10, minPeriod: 3, maxPeriod: 30);
|
||||
var t = DateTime.UtcNow;
|
||||
double last = 50.0;
|
||||
for (int i = 0; i < 100; i++)
|
||||
{
|
||||
last = d.Update(new TValue(t.AddMinutes(i), 100.0)).Value;
|
||||
}
|
||||
|
||||
// After many constant bars, RSI should converge to 50
|
||||
Assert.Equal(50.0, last, 1e-6);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void Dymi_MatchesOoples_Structural()
|
||||
{
|
||||
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.15, seed: 42);
|
||||
var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
||||
var ooplesData = bars.Select(b => new TickerData
|
||||
{
|
||||
Date = new DateTime(b.Time, DateTimeKind.Utc),
|
||||
Open = b.Open, High = b.High, Low = b.Low,
|
||||
Close = b.Close, Volume = b.Volume
|
||||
}).ToList();
|
||||
var result = new StockData(ooplesData).CalculateDynamicMomentumIndex();
|
||||
var values = result.CustomValuesList;
|
||||
int finiteCount = values.Count(v => double.IsFinite(v));
|
||||
Assert.True(finiteCount > 100, $"Expected >100 finite values, got {finiteCount}");
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user