mirror of
https://github.com/mihakralj/QuanTAlib.git
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060649192f
- Remove 'C# Implementation Considerations' sections from 34 indicator .md files - Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.) - Move test files into tests/ subdirectories for consistent project structure - Add trader-focused bullet points to indicator documentation
504 lines
13 KiB
C#
504 lines
13 KiB
C#
using Xunit;
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namespace QuanTAlib.Tests;
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public class SsfdspTests
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{
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private const double Tolerance = 1e-9;
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#region Constructor Tests
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[Fact]
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public void Constructor_ValidPeriod_SetsProperties()
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{
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var ssfdsp = new Ssfdsp(40);
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Assert.Equal("SsfDsp(40)", ssfdsp.Name);
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Assert.False(ssfdsp.IsHot);
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}
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[Fact]
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public void Constructor_MinimumPeriod_Works()
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{
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var ssfdsp = new Ssfdsp(4);
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Assert.Equal("SsfDsp(4)", ssfdsp.Name);
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}
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[Theory]
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[InlineData(0)]
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[InlineData(-1)]
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[InlineData(3)]
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public void Constructor_InvalidPeriod_ThrowsArgumentOutOfRange(int period)
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{
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var ex = Assert.Throws<ArgumentOutOfRangeException>(() => new Ssfdsp(period));
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Assert.Equal("period", ex.ParamName);
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}
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[Fact]
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public void Constructor_WithNullSource_ThrowsArgumentNullException()
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{
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Assert.Throws<ArgumentNullException>(() => new Ssfdsp(null!, 40));
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}
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[Fact]
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public void Constructor_WithValidSource_Subscribes()
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{
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var source = new TSeries();
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var ssfdsp = new Ssfdsp(source, 40);
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source.Add(new TValue(DateTime.UtcNow, 100.0));
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Assert.NotEqual(default, ssfdsp.Last);
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}
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#endregion
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#region Basic Calculation Tests
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[Fact]
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public void Update_ReturnsValidTValue()
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{
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var ssfdsp = new Ssfdsp(40);
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var result = ssfdsp.Update(new TValue(DateTime.UtcNow, 100.0));
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Assert.True(double.IsFinite(result.Value));
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}
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[Fact]
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public void Update_AfterWarmup_IsHotTrue()
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{
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var ssfdsp = new Ssfdsp(8); // Small period for faster warmup
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var gbm = new GBM(seed: 42);
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var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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foreach (var bar in bars)
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{
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ssfdsp.Update(new TValue(bar.Time, bar.Close));
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}
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Assert.True(ssfdsp.IsHot);
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}
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[Fact]
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public void Update_ConstantSeries_SsfdspIsZero()
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{
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// For a constant series, both SSFs converge to the same value
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// so SSF-DSP = fast - slow = 0
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var ssfdsp = new Ssfdsp(40);
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for (int i = 0; i < 500; i++)
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{
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0));
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}
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Assert.Equal(0.0, ssfdsp.Last.Value, Tolerance);
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}
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[Fact]
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public void Update_Uptrend_SsfdspPositive()
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{
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// Fast SSF reacts more quickly to rising prices, so SSF-DSP > 0
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var ssfdsp = new Ssfdsp(20);
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for (int i = 0; i < 100; i++)
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{
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double price = 100.0 + i * 1.0;
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), price));
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}
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Assert.True(ssfdsp.Last.Value > 0, $"Uptrend should produce positive SSF-DSP, got {ssfdsp.Last.Value}");
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}
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[Fact]
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public void Update_Downtrend_SsfdspNegative()
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{
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// Fast SSF reacts more quickly to falling prices, so SSF-DSP < 0
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var ssfdsp = new Ssfdsp(20);
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for (int i = 0; i < 100; i++)
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{
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double price = 200.0 - i * 1.0;
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), price));
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}
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Assert.True(ssfdsp.Last.Value < 0, $"Downtrend should produce negative SSF-DSP, got {ssfdsp.Last.Value}");
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}
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#endregion
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#region Bar Correction Tests
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[Fact]
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public void Update_IsNewTrue_AdvancesState()
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{
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var ssfdsp = new Ssfdsp(8); // Use smaller period
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// Build some history first
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for (int i = 0; i < 20; i++)
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{
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0 + i), isNew: true);
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}
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var first = ssfdsp.Last.Value;
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(20), 150.0), isNew: true);
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var second = ssfdsp.Last.Value;
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// Values should be different after processing different prices
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Assert.NotEqual(first, second);
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}
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[Fact]
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public void Update_IsNewFalse_ReplacesCurrentBar()
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{
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var ssfdsp = new Ssfdsp(8); // Use smaller period
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// Build some history first
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for (int i = 0; i < 20; i++)
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{
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0 + i), isNew: true);
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}
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(20), 150.0), isNew: true);
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var beforeCorrection = ssfdsp.Last.Value;
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// Correct the bar with a significantly different value
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(20), 50.0), isNew: false);
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var afterCorrection = ssfdsp.Last.Value;
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Assert.NotEqual(beforeCorrection, afterCorrection);
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}
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[Fact]
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public void Update_MultipleCorrections_RestoresToSnapshot()
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{
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var ssfdsp = new Ssfdsp(20);
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// Build some history
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for (int i = 0; i < 30; i++)
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{
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0 + i), isNew: true);
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}
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// Add a new bar
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(30), 150.0), isNew: true);
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var originalValue = ssfdsp.Last.Value;
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// Correct multiple times
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(30), 160.0), isNew: false);
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(30), 140.0), isNew: false);
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(30), 150.0), isNew: false);
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var restoredValue = ssfdsp.Last.Value;
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Assert.Equal(originalValue, restoredValue, Tolerance);
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}
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#endregion
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#region Reset Tests
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[Fact]
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public void Reset_ClearsState()
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{
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var ssfdsp = new Ssfdsp(20);
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for (int i = 0; i < 50; i++)
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{
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0 + i));
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}
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Assert.True(ssfdsp.IsHot);
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ssfdsp.Reset();
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Assert.False(ssfdsp.IsHot);
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Assert.Equal(default, ssfdsp.Last);
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}
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[Fact]
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public void Reset_AllowsReuse()
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{
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var ssfdsp = new Ssfdsp(20);
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// First run
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for (int i = 0; i < 50; i++)
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{
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0));
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}
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var firstResult = ssfdsp.Last.Value;
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ssfdsp.Reset();
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// Second run with same data
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for (int i = 0; i < 50; i++)
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{
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0));
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}
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var secondResult = ssfdsp.Last.Value;
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Assert.Equal(firstResult, secondResult, Tolerance);
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}
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#endregion
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#region NaN/Infinity Handling Tests
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[Fact]
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public void Update_NaN_UsesLastValidValue()
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{
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var ssfdsp = new Ssfdsp(20);
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ssfdsp.Update(new TValue(DateTime.UtcNow, 100.0));
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(1), double.NaN));
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var afterNaN = ssfdsp.Last.Value;
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Assert.True(double.IsFinite(afterNaN));
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}
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[Fact]
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public void Update_Infinity_UsesLastValidValue()
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{
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var ssfdsp = new Ssfdsp(20);
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ssfdsp.Update(new TValue(DateTime.UtcNow, 100.0));
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(1), double.PositiveInfinity));
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Assert.True(double.IsFinite(ssfdsp.Last.Value));
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}
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[Fact]
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public void Update_NegativeInfinity_UsesLastValidValue()
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{
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var ssfdsp = new Ssfdsp(20);
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ssfdsp.Update(new TValue(DateTime.UtcNow, 100.0));
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ssfdsp.Update(new TValue(DateTime.UtcNow.AddSeconds(1), double.NegativeInfinity));
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Assert.True(double.IsFinite(ssfdsp.Last.Value));
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}
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#endregion
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#region Consistency Tests
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[Theory]
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[InlineData(42)]
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[InlineData(123)]
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[InlineData(999)]
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public void Update_StreamingMatchesBatch(int seed)
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{
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const int period = 40;
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const int dataLen = 100;
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var gbm = new GBM(seed: seed);
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var bars = gbm.Fetch(dataLen, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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// Streaming
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var streaming = new Ssfdsp(period);
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foreach (var bar in bars)
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{
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streaming.Update(new TValue(bar.Time, bar.Close));
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}
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// Batch via TSeries
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var tSeries = new TSeries();
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foreach (var bar in bars)
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{
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tSeries.Add(new TValue(bar.Time, bar.Close));
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}
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var batch = Ssfdsp.Batch(tSeries, period);
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// Compare last values
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Assert.Equal(batch[^1].Value, streaming.Last.Value, Tolerance);
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}
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[Fact]
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public void Batch_MatchesStreaming()
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{
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const int period = 20;
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const int dataLen = 200;
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var gbm = new GBM(seed: 42);
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var bars = gbm.Fetch(dataLen, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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// Streaming
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var streaming = new Ssfdsp(period);
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var streamingResults = new double[dataLen];
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for (int i = 0; i < dataLen; i++)
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{
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streaming.Update(new TValue(bars[i].Time, bars[i].Close));
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streamingResults[i] = streaming.Last.Value;
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}
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// Batch
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double[] source = new double[dataLen];
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double[] batchResults = new double[dataLen];
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for (int i = 0; i < dataLen; i++)
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{
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source[i] = bars[i].Close;
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}
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Ssfdsp.Batch(source, batchResults, period);
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// Compare all values
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for (int i = 0; i < dataLen; i++)
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{
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Assert.Equal(streamingResults[i], batchResults[i], Tolerance);
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}
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}
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#endregion
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#region Span API Tests
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[Fact]
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public void Batch_ValidatesLengthMismatch()
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{
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double[] source = new double[100];
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double[] output = new double[50];
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var ex = Assert.Throws<ArgumentException>(() => Ssfdsp.Batch(source, output, 20));
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Assert.Equal("output", ex.ParamName);
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}
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[Fact]
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public void Batch_ValidatesPeriod()
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{
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double[] source = new double[100];
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double[] output = new double[100];
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Assert.Throws<ArgumentOutOfRangeException>(() => Ssfdsp.Batch(source, output, 3));
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}
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[Fact]
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public void Batch_EmptyArrays_NoException()
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{
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double[] source = [];
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double[] output = [];
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var ex = Record.Exception(() => Ssfdsp.Batch(source, output, 20));
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Assert.Null(ex);
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}
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[Fact]
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public void Batch_HandlesNaN()
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{
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double[] source = { 100, 101, double.NaN, 103, 104 };
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double[] output = new double[5];
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Ssfdsp.Batch(source, output, 4);
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foreach (double v in output)
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{
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Assert.True(double.IsFinite(v));
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}
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}
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#endregion
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#region Chaining Tests
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[Fact]
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public void Chaining_PropagatesUpdates()
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{
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var source = new TSeries();
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var ssfdsp = new Ssfdsp(source, 20);
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for (int i = 0; i < 50; i++)
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{
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source.Add(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0 + i));
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}
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Assert.True(ssfdsp.IsHot);
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Assert.True(double.IsFinite(ssfdsp.Last.Value));
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}
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[Fact]
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public void Chaining_MultipleIndicators()
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{
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var source = new TSeries();
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var ssfdsp1 = new Ssfdsp(source, 20);
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var ssfdsp2 = new Ssfdsp(source, 40);
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for (int i = 0; i < 100; i++)
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{
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source.Add(new TValue(DateTime.UtcNow.AddSeconds(i), 100.0 + Math.Sin(i * 0.1) * 10));
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}
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// Both should have values
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Assert.True(double.IsFinite(ssfdsp1.Last.Value));
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Assert.True(double.IsFinite(ssfdsp2.Last.Value));
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// Different periods should produce different results
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Assert.NotEqual(ssfdsp1.Last.Value, ssfdsp2.Last.Value);
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}
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#endregion
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#region Period Behavior Tests
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[Theory]
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[InlineData(4)]
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[InlineData(20)]
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[InlineData(40)]
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[InlineData(100)]
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public void Update_DifferentPeriods_ProducesValidResults(int period)
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{
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var ssfdsp = new Ssfdsp(period);
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var gbm = new GBM(seed: 42);
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var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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foreach (var bar in bars)
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{
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ssfdsp.Update(new TValue(bar.Time, bar.Close));
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}
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Assert.True(ssfdsp.IsHot);
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Assert.True(double.IsFinite(ssfdsp.Last.Value));
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}
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#endregion
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#region Comparison with DSP Tests
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[Fact]
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public void SsfdspVsDsp_BothOscillateAroundZero()
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{
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// Both DSP and SSF-DSP should oscillate around zero for the same input
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var ssfdsp = new Ssfdsp(40);
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var dsp = new Dsp(40);
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var gbm = new GBM(seed: 42);
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var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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double ssfdspSum = 0, dspSum = 0;
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int count = 0;
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foreach (var bar in bars)
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{
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var input = new TValue(bar.Time, bar.Close);
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ssfdsp.Update(input);
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dsp.Update(input);
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if (ssfdsp.IsHot && dsp.IsHot)
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{
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ssfdspSum += ssfdsp.Last.Value;
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dspSum += dsp.Last.Value;
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count++;
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}
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}
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// Both should have mean close to zero (detrending property)
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double ssfdspMean = ssfdspSum / count;
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double dspMean = dspSum / count;
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// Mean should be relatively small compared to price range
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Assert.True(Math.Abs(ssfdspMean) < 5, $"SSF-DSP mean {ssfdspMean} should be close to zero");
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Assert.True(Math.Abs(dspMean) < 5, $"DSP mean {dspMean} should be close to zero");
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}
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#endregion
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}
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