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- 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
276 lines
8.2 KiB
C#
276 lines
8.2 KiB
C#
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namespace QuanTAlib.Tests;
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public class VelTests
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{
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// Expected values for VEL(3) with input [10, 20, 30]
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// PWMA(3) = 360/14, WMA(3) = 140/6, VEL = PWMA - WMA
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private const double ExpectedPwma = 360.0 / 14.0; // 25.7142857...
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private const double ExpectedWma = 140.0 / 6.0; // 23.3333333...
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private const double ExpectedVel = ExpectedPwma - ExpectedWma; // 2.38095238...
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[Fact]
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public void Constructor_InvalidPeriod_ThrowsArgumentException()
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{
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Assert.Throws<ArgumentException>(() => new Vel(0));
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Assert.Throws<ArgumentException>(() => new Vel(-1));
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var vel = new Vel(10);
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Assert.NotNull(vel);
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}
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[Fact]
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public void BasicCalculation_DoesNotCrash()
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{
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var vel = new Vel(10);
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Assert.Equal(0, vel.Last.Value);
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TValue result = vel.Update(new TValue(DateTime.UtcNow, 100));
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Assert.Equal(result.Value, vel.Last.Value);
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}
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[Fact]
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public void IsNew_Consistency()
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{
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var vel = new Vel(10);
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var time = DateTime.UtcNow;
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// Update with default isNew=true
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var val1 = vel.Update(new TValue(time, 100));
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// Update with isNew=false (same time, different value)
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vel.Update(new TValue(time, 105), isNew: false);
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// Update with isNew=false (same time, original value) - should match val1 if state rollback works
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var val3 = vel.Update(new TValue(time, 100), isNew: false);
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Assert.Equal(val1.Value, val3.Value, 1e-9);
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}
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[Fact]
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public void Reset_Works()
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{
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var vel = new Vel(10);
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vel.Update(new TValue(DateTime.UtcNow, 100));
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vel.Update(new TValue(DateTime.UtcNow, 105));
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double valueBefore = vel.Last.Value;
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vel.Reset();
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Assert.Equal(0, vel.Last.Value);
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// After reset, should accept new values
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vel.Update(new TValue(DateTime.UtcNow, 50));
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// First value is 0 because PWMA(50) = 50 and WMA(50) = 50
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Assert.Equal(0, vel.Last.Value);
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vel.Update(new TValue(DateTime.UtcNow, 60));
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Assert.NotEqual(0, vel.Last.Value);
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Assert.NotEqual(valueBefore, vel.Last.Value);
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}
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[Fact]
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public void IsHot_BecomesTrueWhenBufferFull()
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{
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var vel = new Vel(5);
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Assert.False(vel.IsHot);
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for (int i = 1; i <= 4; i++)
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{
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vel.Update(new TValue(DateTime.UtcNow, i * 10));
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Assert.False(vel.IsHot);
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}
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vel.Update(new TValue(DateTime.UtcNow, 50));
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Assert.True(vel.IsHot);
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}
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[Fact]
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public void CalculatesCorrectValue()
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{
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var vel = new Vel(3);
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vel.Update(new TValue(DateTime.UtcNow, 10));
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vel.Update(new TValue(DateTime.UtcNow, 20));
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vel.Update(new TValue(DateTime.UtcNow, 30));
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// PWMA(3) of 10,20,30 = 360/14 = 25.7142857...
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// WMA(3) of 10,20,30 = 140/6 = 23.3333333...
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// VEL = PWMA - WMA = 2.38095238...
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Assert.Equal(ExpectedVel, vel.Last.Value, 1e-10);
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}
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[Fact]
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public void StaticBatch_Matches_Streaming()
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{
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var series = new TSeries();
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series.Add(DateTime.UtcNow.Ticks, 10);
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series.Add(DateTime.UtcNow.Ticks + 1, 20);
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series.Add(DateTime.UtcNow.Ticks + 2, 30);
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var results = Vel.Batch(series, 3);
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Assert.Equal(3, results.Count);
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Assert.Equal(ExpectedVel, results.Last.Value, 1e-10);
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}
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[Fact]
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public void SpanBatch_Matches_Streaming()
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{
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var series = new TSeries();
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double[] source = new double[100];
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double[] output = new double[100];
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var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 42);
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for (int i = 0; i < 100; i++)
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{
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var bar = gbm.Next(isNew: true);
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source[i] = bar.Close;
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series.Add(bar.Time, bar.Close);
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}
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// Calculate with TSeries API
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var tseriesResult = Vel.Batch(series, 10);
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// Calculate with Span API
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Vel.Batch(source.AsSpan(), output.AsSpan(), 10);
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// Compare results
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for (int i = 0; i < 100; i++)
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{
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Assert.Equal(tseriesResult[i].Value, output[i], 1e-10);
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}
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}
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[Fact]
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public void Chainability_Works()
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{
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var vel = new Vel(10);
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var vel2 = new Vel(vel, 10);
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vel.Update(new TValue(DateTime.UtcNow, 100));
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Assert.False(double.IsNaN(vel2.Last.Value));
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}
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[Fact]
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public void IterativeCorrections_RestoreToOriginalState()
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{
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var vel = new Vel(5);
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var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
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// Feed 20 new values
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TValue twentiethInput = default;
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for (int i = 0; i < 20; i++)
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{
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var bar = gbm.Next(isNew: true);
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twentiethInput = new TValue(bar.Time, bar.Close);
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vel.Update(twentiethInput, isNew: true);
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}
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// Remember state after 20 values
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double stateAfterTwenty = vel.Last.Value;
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// Generate 9 corrections with isNew=false (different values)
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for (int i = 0; i < 9; i++)
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{
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var bar = gbm.Next(isNew: false);
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vel.Update(new TValue(bar.Time, bar.Close), isNew: false);
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}
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// Feed the remembered 20th input again with isNew=false
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TValue finalResult = vel.Update(twentiethInput, isNew: false);
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// State should match the original state after 20 values
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Assert.Equal(stateAfterTwenty, finalResult.Value, 1e-10);
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}
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[Fact]
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public void NaN_Input_UsesLastValidValue()
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{
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var vel = new Vel(5);
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var gbm = new GBM();
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var bars = gbm.Fetch(20, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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// Feed some valid values first
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for (int i = 0; i < 15; i++)
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{
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vel.Update(new TValue(bars[i].Time, bars[i].Close));
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}
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// Feed NaN
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var result = vel.Update(new TValue(DateTime.UtcNow, double.NaN));
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// Should not crash and should return a finite value
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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 Infinity_Input_UsesLastValidValue()
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{
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var vel = new Vel(5);
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var gbm = new GBM();
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var bars = gbm.Fetch(20, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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// Feed some valid values first
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for (int i = 0; i < 15; i++)
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{
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vel.Update(new TValue(bars[i].Time, bars[i].Close));
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}
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// Feed Infinity
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var resultPos = vel.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
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Assert.True(double.IsFinite(resultPos.Value));
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var resultNeg = vel.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity));
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Assert.True(double.IsFinite(resultNeg.Value));
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}
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[Fact]
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public void AllModes_ProduceSameResult()
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{
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// Arrange
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const int period = 10;
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var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
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var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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var series = bars.Close;
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// 1. Batch Mode (static method)
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var batchSeries = Vel.Batch(series, period);
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double expected = batchSeries.Last.Value;
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// 2. Span Mode (static method with spans)
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var spanInput = series.Values.ToArray();
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var spanOutput = new double[spanInput.Length];
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Vel.Batch(spanInput.AsSpan(), spanOutput.AsSpan(), period);
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double spanResult = spanOutput[^1];
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// 3. Streaming Mode (instance, one value at a time)
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var streamingInd = new Vel(period);
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for (int i = 0; i < series.Count; i++)
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{
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streamingInd.Update(series[i]);
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}
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double streamingResult = streamingInd.Last.Value;
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// 4. Eventing Mode (chained via ITValuePublisher)
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var pubSource = new TSeries();
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var eventingInd = new Vel(pubSource, period);
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for (int i = 0; i < series.Count; i++)
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{
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pubSource.Add(series[i]);
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}
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double eventingResult = eventingInd.Last.Value;
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// Assert all modes produce identical results
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Assert.Equal(expected, spanResult, precision: 9);
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Assert.Equal(expected, streamingResult, precision: 9);
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Assert.Equal(expected, eventingResult, precision: 9);
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}
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}
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