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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
583 lines
18 KiB
C#
583 lines
18 KiB
C#
// PIVOTCAM Tests - Camarilla Pivot Points
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namespace QuanTAlib.Tests;
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// -- A) Constructor Validation ------------------------------------------------
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public sealed class PivotcamConstructorTests
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{
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[Fact]
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public void Constructor_Default_SetsProperties()
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{
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var p = new Pivotcam();
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Assert.Equal(2, p.WarmupPeriod);
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Assert.Contains("Pivotcam", p.Name, StringComparison.Ordinal);
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Assert.False(p.IsHot);
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}
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[Fact]
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public void Constructor_InitialState_AllNaN()
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{
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var p = new Pivotcam();
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Assert.True(double.IsNaN(p.PP));
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Assert.True(double.IsNaN(p.R1));
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Assert.True(double.IsNaN(p.R2));
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Assert.True(double.IsNaN(p.R3));
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Assert.True(double.IsNaN(p.R4));
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Assert.True(double.IsNaN(p.S1));
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Assert.True(double.IsNaN(p.S2));
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Assert.True(double.IsNaN(p.S3));
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Assert.True(double.IsNaN(p.S4));
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}
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}
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// -- B) Basic Calculation -----------------------------------------------------
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public sealed class PivotcamBasicTests
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{
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[Fact]
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public void Update_ReturnsTValue()
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{
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var p = new Pivotcam();
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var bar = new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000);
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TValue result = p.Update(bar);
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Assert.IsType<TValue>(result);
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}
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[Fact]
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public void Update_Last_IsAccessible()
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{
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var p = new Pivotcam();
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var bar = new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000);
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_ = p.Update(bar);
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Assert.True(double.IsFinite(p.Last.Value) || double.IsNaN(p.Last.Value));
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}
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[Fact]
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public void Update_KnownValues_CorrectPivotLevels()
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{
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// Given previous bar H=110, L=90, C=100, range=20
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// PP = (110+90+100)/3 = 100
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// R1 = 100 + 20*1.0833/12 ≈ 101.8055
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// S1 = 100 - 20*1.0833/12 ≈ 98.1945
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// R2 = 100 + 20*1.1666/12 ≈ 101.9443
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// S2 = 100 - 20*1.1666/12 ≈ 98.0557
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// R3 = 100 + 20*1.25/12 ≈ 102.0833
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// S3 = 100 - 20*1.25/12 ≈ 97.9167
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// R4 = 100 + 20*1.5/12 = 102.5
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// S4 = 100 - 20*1.5/12 = 97.5
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var p = new Pivotcam();
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var dt = DateTime.UtcNow;
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// First bar: stores HLC, no output yet
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_ = p.Update(new TBar(dt, 100, 110, 90, 100, 1000), isNew: true);
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Assert.True(double.IsNaN(p.PP));
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// Second bar: computes from first bar's HLC
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_ = p.Update(new TBar(dt.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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double range = 20.0;
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double pC = 100.0;
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Assert.Equal(100.0, p.PP, precision: 10);
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Assert.Equal(pC + range * 1.0833 / 12.0, p.R1, precision: 4);
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Assert.Equal(pC - range * 1.0833 / 12.0, p.S1, precision: 4);
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Assert.Equal(pC + range * 1.1666 / 12.0, p.R2, precision: 4);
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Assert.Equal(pC - range * 1.1666 / 12.0, p.S2, precision: 4);
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Assert.Equal(pC + range * 1.25 / 12.0, p.R3, precision: 4);
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Assert.Equal(pC - range * 1.25 / 12.0, p.S3, precision: 4);
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Assert.Equal(pC + range * 1.5 / 12.0, p.R4, precision: 4);
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Assert.Equal(pC - range * 1.5 / 12.0, p.S4, precision: 4);
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}
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[Fact]
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public void Update_SecondKnownValues_CorrectPivotLevels()
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{
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// Given previous bar H=120, L=100, C=115, range=20
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var p = new Pivotcam();
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var dt = DateTime.UtcNow;
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_ = p.Update(new TBar(dt, 110, 120, 100, 115, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 115, 125, 105, 120, 1000), isNew: true);
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double expectedPP = (120.0 + 100.0 + 115.0) / 3.0;
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double range = 20.0;
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double pC = 115.0;
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Assert.Equal(expectedPP, p.PP, precision: 10);
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Assert.Equal(pC + range * 1.0833 / 12.0, p.R1, precision: 4);
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Assert.Equal(pC - range * 1.0833 / 12.0, p.S1, precision: 4);
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Assert.Equal(pC + range * 1.1666 / 12.0, p.R2, precision: 4);
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Assert.Equal(pC - range * 1.1666 / 12.0, p.S2, precision: 4);
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Assert.Equal(pC + range * 1.25 / 12.0, p.R3, precision: 4);
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Assert.Equal(pC - range * 1.25 / 12.0, p.S3, precision: 4);
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Assert.Equal(pC + range * 1.5 / 12.0, p.R4, precision: 4);
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Assert.Equal(pC - range * 1.5 / 12.0, p.S4, precision: 4);
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}
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[Fact]
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public void Update_LevelsHaveCorrectOrdering()
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{
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// For any normal bar: S4 < S3 < S2 < S1 < PP < R1 < R2 < R3 < R4
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// (when close is near the range center, PP may be above or below close,
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// but S/R levels are always ordered by their multiplier magnitude)
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var p = new Pivotcam();
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var dt = DateTime.UtcNow;
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_ = p.Update(new TBar(dt, 100, 110, 90, 100, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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Assert.True(p.S4 < p.S3);
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Assert.True(p.S3 < p.S2);
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Assert.True(p.S2 < p.S1);
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Assert.True(p.R1 < p.R2);
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Assert.True(p.R2 < p.R3);
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Assert.True(p.R3 < p.R4);
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}
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[Fact]
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public void Name_ContainsPivotcam()
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{
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var p = new Pivotcam();
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Assert.Contains("Pivotcam", p.Name, StringComparison.Ordinal);
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}
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}
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// -- C) State + Bar Correction ------------------------------------------------
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public sealed class PivotcamStateCorrectionTests
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{
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[Fact]
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public void IsNew_True_AdvancesState()
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{
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var p = new Pivotcam();
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_ = p.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000), isNew: true);
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var first = p.Last;
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_ = p.Update(new TBar(DateTime.UtcNow.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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var second = p.Last;
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Assert.NotEqual(first.Time, second.Time);
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}
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[Fact]
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public void IsNew_False_CorrectionRestoresState()
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{
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var p = new Pivotcam();
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var dt = DateTime.UtcNow;
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_ = p.Update(new TBar(dt, 100, 110, 90, 100, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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double ppBefore = p.PP;
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// Correct the second bar (isNew=false)
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_ = p.Update(new TBar(dt.AddMinutes(1), 108, 118, 92, 108, 1000), isNew: false);
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// PP should still be based on bar 0's HLC (H=110, L=90, C=100)
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Assert.Equal(ppBefore, p.PP, precision: 10);
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}
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[Fact]
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public void IterativeCorrections_ProduceSameResult()
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{
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var p = new Pivotcam();
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var dt = DateTime.UtcNow;
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_ = p.Update(new TBar(dt, 100, 110, 90, 100, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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double[] ppResults = new double[3];
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for (int i = 0; i < 3; i++)
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{
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_ = p.Update(new TBar(dt.AddMinutes(1), 108, 120, 88, 110, 1000), isNew: false);
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ppResults[i] = p.PP;
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}
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Assert.Equal(ppResults[0], ppResults[1]);
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Assert.Equal(ppResults[1], ppResults[2]);
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}
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[Fact]
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public void IsNew_False_AllLevelsStable()
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{
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var p = new Pivotcam();
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var dt = DateTime.UtcNow;
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_ = p.Update(new TBar(dt, 100, 110, 90, 100, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 108, 120, 88, 110, 1000), isNew: false);
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double r1a = p.R1, s1a = p.S1, r2a = p.R2, s2a = p.S2;
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double r3a = p.R3, s3a = p.S3, r4a = p.R4, s4a = p.S4;
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_ = p.Update(new TBar(dt.AddMinutes(1), 108, 120, 88, 110, 1000), isNew: false);
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Assert.Equal(r1a, p.R1);
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Assert.Equal(s1a, p.S1);
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Assert.Equal(r2a, p.R2);
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Assert.Equal(s2a, p.S2);
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Assert.Equal(r3a, p.R3);
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Assert.Equal(s3a, p.S3);
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Assert.Equal(r4a, p.R4);
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Assert.Equal(s4a, p.S4);
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}
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[Fact]
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public void Reset_ClearsAllState()
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{
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var p = new Pivotcam();
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var dt = DateTime.UtcNow;
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for (int i = 0; i < 10; i++)
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{
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double price = 100.0 + i;
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_ = p.Update(new TBar(dt.AddMinutes(i), price, price + 5, price - 5, price + 1, 1000));
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}
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Assert.True(p.IsHot);
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p.Reset();
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Assert.False(p.IsHot);
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Assert.True(double.IsNaN(p.PP));
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Assert.True(double.IsNaN(p.R1));
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Assert.True(double.IsNaN(p.R2));
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Assert.True(double.IsNaN(p.R3));
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Assert.True(double.IsNaN(p.R4));
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Assert.True(double.IsNaN(p.S1));
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Assert.True(double.IsNaN(p.S2));
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Assert.True(double.IsNaN(p.S3));
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Assert.True(double.IsNaN(p.S4));
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}
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}
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// -- D) Warmup / Convergence --------------------------------------------------
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public sealed class PivotcamWarmupTests
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{
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[Fact]
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public void IsHot_FlipsAfterWarmup()
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{
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var p = new Pivotcam();
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// First bar - not hot
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_ = p.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
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Assert.False(p.IsHot, "Should not be hot after 1 bar");
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// Second bar - should be hot
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_ = p.Update(new TBar(DateTime.UtcNow.AddMinutes(1), 105, 115, 95, 105, 1000));
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Assert.True(p.IsHot, "Should be hot after 2 bars");
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}
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[Fact]
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public void WarmupPeriod_Equals2()
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{
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var p = new Pivotcam();
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Assert.Equal(2, p.WarmupPeriod);
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}
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}
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// -- E) Robustness ------------------------------------------------------------
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public sealed class PivotcamRobustnessTests
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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 p = new Pivotcam();
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var dt = DateTime.UtcNow;
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// Feed valid bars
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_ = p.Update(new TBar(dt, 100, 110, 90, 100, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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Assert.True(p.IsHot);
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// Feed NaN bar
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_ = p.Update(new TBar(dt.AddMinutes(2), double.NaN, double.NaN, double.NaN, double.NaN, 0), isNew: true);
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Assert.True(p.IsHot);
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Assert.True(double.IsFinite(p.PP));
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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 p = new Pivotcam();
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var dt = DateTime.UtcNow;
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_ = p.Update(new TBar(dt, 100, 110, 90, 100, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(1), 105, 115, 95, 105, 1000), isNew: true);
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_ = p.Update(new TBar(dt.AddMinutes(2),
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double.PositiveInfinity, double.PositiveInfinity, double.NegativeInfinity, double.PositiveInfinity, 0),
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isNew: true);
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Assert.True(p.IsHot);
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Assert.True(double.IsFinite(p.PP));
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}
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[Fact]
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public void FirstBar_NaN_ReturnsNaN()
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{
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var p = new Pivotcam();
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_ = p.Update(new TBar(DateTime.UtcNow, double.NaN, double.NaN, double.NaN, double.NaN, 0));
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Assert.True(double.IsNaN(p.Last.Value));
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Assert.True(double.IsNaN(p.PP));
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}
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}
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// -- F) Consistency -----------------------------------------------------------
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public sealed class PivotcamConsistencyTests
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{
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private static TBarSeries CreateGbmBars(int count = 500)
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{
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var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.20, seed: 42);
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return gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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}
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[Fact]
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public void Streaming_MatchesBatch()
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{
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var bars = CreateGbmBars();
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// Streaming
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var streaming = new Pivotcam();
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var streamPP = new double[bars.Count];
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for (int i = 0; i < bars.Count; i++)
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{
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_ = streaming.Update(bars[i], isNew: true);
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streamPP[i] = streaming.PP;
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}
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// Batch
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var batchResults = Pivotcam.Batch(bars);
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for (int i = 1; i < bars.Count; i++)
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{
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if (double.IsNaN(streamPP[i]))
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{
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Assert.True(double.IsNaN(batchResults[i].Value), $"Mismatch at {i}");
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}
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else
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{
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Assert.Equal(streamPP[i], batchResults[i].Value, precision: 10);
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}
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}
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}
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[Fact]
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public void Streaming_MatchesSpan()
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{
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var bars = CreateGbmBars();
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// Streaming
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var streaming = new Pivotcam();
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var streamPP = new double[bars.Count];
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for (int i = 0; i < bars.Count; i++)
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{
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_ = streaming.Update(bars[i], isNew: true);
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streamPP[i] = streaming.PP;
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}
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// Span
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var spanPP = new double[bars.Count];
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Pivotcam.Batch(bars.HighValues, bars.LowValues, bars.CloseValues, spanPP);
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for (int i = 1; i < bars.Count; i++)
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{
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if (double.IsNaN(streamPP[i]))
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{
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Assert.True(double.IsNaN(spanPP[i]), $"PP mismatch at {i}");
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}
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else
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{
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Assert.Equal(streamPP[i], spanPP[i], precision: 10);
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}
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}
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}
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[Fact]
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public void Streaming_MatchesBatchAll_AllLevels()
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{
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var bars = CreateGbmBars(count: 200);
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// Streaming
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var streaming = new Pivotcam();
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var sPP = new double[bars.Count];
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var sR1 = new double[bars.Count];
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var sS1 = new double[bars.Count];
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var sR2 = new double[bars.Count];
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var sS2 = new double[bars.Count];
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var sR3 = new double[bars.Count];
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var sS3 = new double[bars.Count];
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var sR4 = new double[bars.Count];
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var sS4 = new double[bars.Count];
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for (int i = 0; i < bars.Count; i++)
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{
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_ = streaming.Update(bars[i], isNew: true);
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sPP[i] = streaming.PP;
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sR1[i] = streaming.R1;
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sS1[i] = streaming.S1;
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sR2[i] = streaming.R2;
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sS2[i] = streaming.S2;
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sR3[i] = streaming.R3;
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sS3[i] = streaming.S3;
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sR4[i] = streaming.R4;
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sS4[i] = streaming.S4;
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}
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// BatchAll
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var bPP = new double[bars.Count];
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var bR1 = new double[bars.Count];
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var bS1 = new double[bars.Count];
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var bR2 = new double[bars.Count];
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var bS2 = new double[bars.Count];
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var bR3 = new double[bars.Count];
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var bS3 = new double[bars.Count];
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var bR4 = new double[bars.Count];
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var bS4 = new double[bars.Count];
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Pivotcam.BatchAll(bars.HighValues, bars.LowValues, bars.CloseValues,
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bPP, bR1, bS1, bR2, bS2, bR3, bS3, bR4, bS4);
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for (int i = 1; i < bars.Count; i++)
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{
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if (double.IsNaN(sPP[i])) { Assert.True(double.IsNaN(bPP[i])); continue; }
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Assert.Equal(sPP[i], bPP[i], precision: 10);
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Assert.Equal(sR1[i], bR1[i], precision: 10);
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Assert.Equal(sS1[i], bS1[i], precision: 10);
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Assert.Equal(sR2[i], bR2[i], precision: 10);
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Assert.Equal(sS2[i], bS2[i], precision: 10);
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Assert.Equal(sR3[i], bR3[i], precision: 10);
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Assert.Equal(sS3[i], bS3[i], precision: 10);
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Assert.Equal(sR4[i], bR4[i], precision: 10);
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Assert.Equal(sS4[i], bS4[i], precision: 10);
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}
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}
|
|
|
|
[Fact]
|
|
public void TValue_Update_MatchesTBar_Update()
|
|
{
|
|
var p1 = new Pivotcam();
|
|
var p2 = new Pivotcam();
|
|
|
|
double[] prices = [100, 102, 98, 105, 99, 103, 107, 95, 110, 108];
|
|
|
|
for (int i = 0; i < prices.Length; i++)
|
|
{
|
|
double pr = prices[i];
|
|
_ = p1.Update(new TBar(DateTime.UtcNow.AddMinutes(i), pr, pr, pr, pr, 0), isNew: true);
|
|
_ = p2.Update(new TValue(DateTime.UtcNow.AddMinutes(i), pr), isNew: true);
|
|
}
|
|
|
|
Assert.Equal(p1.PP, p2.PP);
|
|
Assert.Equal(p1.R1, p2.R1);
|
|
Assert.Equal(p1.S1, p2.S1);
|
|
}
|
|
}
|
|
|
|
// -- G) Span API Tests --------------------------------------------------------
|
|
public sealed class PivotcamSpanTests
|
|
{
|
|
[Fact]
|
|
public void Batch_Span_MismatchedLengths_Throws()
|
|
{
|
|
var ex = Assert.Throws<ArgumentException>(() =>
|
|
Pivotcam.Batch(new double[10], new double[5], new double[10], new double[10]));
|
|
Assert.Equal("high", ex.ParamName);
|
|
}
|
|
|
|
[Fact]
|
|
public void Batch_Span_OutputTooShort_Throws()
|
|
{
|
|
var ex = Assert.Throws<ArgumentException>(() =>
|
|
Pivotcam.Batch(new double[10], new double[10], new double[10], new double[5]));
|
|
Assert.Equal("ppOutput", ex.ParamName);
|
|
}
|
|
|
|
[Fact]
|
|
public void Batch_Span_Empty_NoException()
|
|
{
|
|
var ex = Record.Exception(() =>
|
|
Pivotcam.Batch(ReadOnlySpan<double>.Empty, ReadOnlySpan<double>.Empty,
|
|
ReadOnlySpan<double>.Empty, Span<double>.Empty));
|
|
Assert.Null(ex);
|
|
}
|
|
|
|
[Fact]
|
|
public void BatchAll_OutputTooShort_Throws()
|
|
{
|
|
var ex = Assert.Throws<ArgumentException>(() =>
|
|
Pivotcam.BatchAll(new double[10], new double[10], new double[10],
|
|
new double[10], new double[5], new double[10],
|
|
new double[10], new double[10], new double[10],
|
|
new double[10], new double[10], new double[10]));
|
|
Assert.Equal("r1Out", ex.ParamName);
|
|
}
|
|
}
|
|
|
|
// -- H) Event / Chainability -------------------------------------------------
|
|
public sealed class PivotcamEventTests
|
|
{
|
|
[Fact]
|
|
public void Pub_FiresOnUpdate()
|
|
{
|
|
var p = new Pivotcam();
|
|
int fireCount = 0;
|
|
|
|
p.Pub += (object? _, in TValueEventArgs _e) => { fireCount++; };
|
|
|
|
_ = p.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
|
|
|
|
Assert.Equal(1, fireCount);
|
|
}
|
|
|
|
[Fact]
|
|
public void Pub_FiresOnEachUpdate()
|
|
{
|
|
var p = new Pivotcam();
|
|
int fireCount = 0;
|
|
|
|
p.Pub += (object? _, in TValueEventArgs _e) => { fireCount++; };
|
|
|
|
for (int i = 0; i < 5; i++)
|
|
{
|
|
double price = 100.0 + i;
|
|
_ = p.Update(new TBar(DateTime.UtcNow.AddMinutes(i), price, price + 5, price - 5, price + 1, 1000));
|
|
}
|
|
|
|
Assert.Equal(5, fireCount);
|
|
}
|
|
}
|
|
|
|
// -- I) Prime Tests -----------------------------------------------------------
|
|
public sealed class PivotcamPrimeTests
|
|
{
|
|
[Fact]
|
|
public void Prime_TBarSeries_SetsState()
|
|
{
|
|
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.20, seed: 42);
|
|
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
|
|
|
|
var p = new Pivotcam();
|
|
p.Prime(bars);
|
|
|
|
Assert.True(p.IsHot);
|
|
}
|
|
|
|
[Fact]
|
|
public void Prime_EmptySource_NoException()
|
|
{
|
|
var p = new Pivotcam();
|
|
var bars = new TBarSeries();
|
|
|
|
var ex = Record.Exception(() => p.Prime(bars));
|
|
Assert.Null(ex);
|
|
Assert.False(p.IsHot);
|
|
}
|
|
}
|