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Miha Kralj 060649192f docs: remove C# Implementation Considerations sections, clean up temp scripts, reorganize test files
- 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
2026-03-12 12:34:16 -07:00

397 lines
12 KiB
C#

using Xunit;
namespace QuanTAlib.Tests;
public sealed class DpoTests
{
private const int DefaultPeriod = 20;
private const double Tolerance = 1e-10;
// ───── A) Constructor validation ─────
[Fact]
public void Constructor_PeriodZero_ThrowsArgumentException()
{
var ex = Assert.Throws<ArgumentException>(() => new Dpo(period: 0));
Assert.Equal("period", ex.ParamName);
}
[Fact]
public void Constructor_NegativePeriod_ThrowsArgumentException()
{
var ex = Assert.Throws<ArgumentException>(() => new Dpo(period: -1));
Assert.Equal("period", ex.ParamName);
}
[Fact]
public void Constructor_ValidPeriod_SetsProperties()
{
var dpo = new Dpo(period: 10);
Assert.Equal(10, dpo.Period);
Assert.Equal("Dpo(10)", dpo.Name);
int expectedDisplacement = (10 / 2) + 1;
Assert.Equal(expectedDisplacement, dpo.Displacement);
Assert.Equal(10 + expectedDisplacement, dpo.WarmupPeriod);
}
// ───── B) Basic calculation ─────
[Fact]
public void Update_ReturnsTValue()
{
var dpo = new Dpo(DefaultPeriod);
var result = dpo.Update(new TValue(DateTime.UtcNow, 100.0));
Assert.IsType<TValue>(result);
}
[Fact]
public void Update_Last_IsAccessible()
{
var dpo = new Dpo(DefaultPeriod);
dpo.Update(new TValue(DateTime.UtcNow, 100.0));
Assert.NotEqual(default, dpo.Last);
Assert.False(dpo.IsHot);
Assert.Equal($"Dpo({DefaultPeriod})", dpo.Name);
}
[Fact]
public void Update_ConstantInput_ZeroDpo()
{
var dpo = new Dpo(period: 5);
int warmup = 5 + (5 / 2) + 1; // period + displacement
for (int i = 0; i < warmup + 5; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, 50.0));
}
// Constant input => SMA == source => DPO == 0
Assert.Equal(0.0, dpo.Last.Value, Tolerance);
}
// ───── C) State + bar correction ─────
[Fact]
public void Update_IsNew_True_AdvancesState()
{
var dpo = new Dpo(DefaultPeriod);
dpo.Update(new TValue(DateTime.UtcNow, 100.0), isNew: true);
dpo.Update(new TValue(DateTime.UtcNow, 110.0), isNew: true);
var last = dpo.Last;
Assert.NotEqual(default, last);
}
[Fact]
public void Update_IsNew_False_RollsBack()
{
var dpo = new Dpo(period: 5);
int warmup = 5 + (5 / 2) + 1;
for (int i = 0; i < warmup + 2; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, 100.0 + i), isNew: true);
}
dpo.Update(new TValue(DateTime.UtcNow, 105.0), isNew: false);
var corrected = dpo.Last;
dpo.Update(new TValue(DateTime.UtcNow, 105.0), isNew: false);
var corrected2 = dpo.Last;
Assert.Equal(corrected.Value, corrected2.Value, Tolerance);
}
[Fact]
public void Update_IterativeCorrections_Restore()
{
var dpo = new Dpo(period: 5);
int warmup = 5 + (5 / 2) + 1;
double[] data = new double[warmup + 3];
for (int i = 0; i < data.Length; i++)
{
data[i] = 100 + i * 2;
}
for (int i = 0; i < data.Length; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, data[i]), isNew: true);
}
var baseline = dpo.Last.Value;
dpo.Update(new TValue(DateTime.UtcNow, 999.0), isNew: false);
dpo.Update(new TValue(DateTime.UtcNow, 888.0), isNew: false);
dpo.Update(new TValue(DateTime.UtcNow, data[^1]), isNew: false);
Assert.Equal(baseline, dpo.Last.Value, Tolerance);
}
[Fact]
public void Reset_ClearsState()
{
var dpo = new Dpo(DefaultPeriod);
for (int i = 0; i < 40; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, 100.0 + i));
}
Assert.True(dpo.IsHot);
dpo.Reset();
Assert.False(dpo.IsHot);
Assert.Equal(default, dpo.Last);
}
// ───── D) Warmup / convergence ─────
[Fact]
public void IsHot_FlipsAtWarmupPeriod()
{
int period = 5;
int displacement = (period / 2) + 1; // 3
int warmup = period + displacement; // 8
var dpo = new Dpo(period);
for (int i = 0; i < warmup - 1; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, 100.0 + i));
Assert.False(dpo.IsHot, $"Should not be hot at bar {i + 1}");
}
dpo.Update(new TValue(DateTime.UtcNow, 108.0));
Assert.True(dpo.IsHot);
}
[Fact]
public void WarmupPeriod_MatchesPeriodPlusDisplacement()
{
var dpo = new Dpo(period: 20);
Assert.Equal(20 + (20 / 2) + 1, dpo.WarmupPeriod);
}
// ───── E) Robustness ─────
[Fact]
public void Update_NaN_UsesLastValid()
{
var dpo = new Dpo(period: 5);
int warmup = 5 + (5 / 2) + 1;
for (int i = 0; i < warmup + 2; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, 100.0 + i));
}
dpo.Update(new TValue(DateTime.UtcNow, double.NaN));
Assert.True(double.IsFinite(dpo.Last.Value));
}
[Fact]
public void Update_Infinity_UsesLastValid()
{
var dpo = new Dpo(period: 5);
int warmup = 5 + (5 / 2) + 1;
for (int i = 0; i < warmup + 2; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, 100.0 + i));
}
dpo.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
Assert.True(double.IsFinite(dpo.Last.Value));
dpo.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity));
Assert.True(double.IsFinite(dpo.Last.Value));
}
[Fact]
public void Update_BatchNaN_Safe()
{
var dpo = new Dpo(period: 5);
for (int i = 0; i < 3; i++)
{
dpo.Update(new TValue(DateTime.UtcNow, double.NaN));
}
Assert.True(double.IsFinite(dpo.Last.Value));
}
// ───── F) Consistency (4 modes match) ─────
[Fact]
public void AllModes_ProduceSameResults()
{
int period = 10;
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 42);
var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
TSeries source = bars.Close;
// 1. Streaming
var streaming = new Dpo(period);
var streamResults = new double[source.Count];
for (int i = 0; i < source.Count; i++)
{
streamResults[i] = streaming.Update(source[i]).Value;
}
// 2. Batch TSeries
TSeries batchSeries = Dpo.Batch(source, period);
// 3. Batch Span
var spanOutput = new double[source.Count];
Dpo.Batch(source.Values, spanOutput, period);
// 4. Event-based
var eventSource = new TSeries();
var eventIndicator = new Dpo(eventSource, period);
var eventResults = new double[source.Count];
for (int i = 0; i < source.Count; i++)
{
eventSource.Add(source[i]);
eventResults[i] = eventIndicator.Last.Value;
}
for (int i = 0; i < source.Count; i++)
{
Assert.Equal(streamResults[i], batchSeries.Values[i], Tolerance);
Assert.Equal(streamResults[i], spanOutput[i], Tolerance);
Assert.Equal(streamResults[i], eventResults[i], Tolerance);
}
}
// ───── G) Span API tests ─────
[Fact]
public void Batch_Span_MismatchedLength_ThrowsArgumentException()
{
var source = new double[10];
var output = new double[5];
var ex = Assert.Throws<ArgumentException>(() => Dpo.Batch(source.AsSpan(), output.AsSpan(), DefaultPeriod));
Assert.Equal("output", ex.ParamName);
}
[Fact]
public void Batch_Span_ZeroPeriod_ThrowsArgumentException()
{
var source = new double[10];
var output = new double[10];
var ex = Assert.Throws<ArgumentException>(() => Dpo.Batch(source.AsSpan(), output.AsSpan(), 0));
Assert.Equal("period", ex.ParamName);
}
[Fact]
public void Batch_Span_Empty_NoException()
{
double[] source = [];
double[] output = [];
var ex = Record.Exception(() => Dpo.Batch(source.AsSpan(), output.AsSpan(), DefaultPeriod));
Assert.Null(ex);
}
[Fact]
public void Batch_Span_MatchesTSeries()
{
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 7);
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
TSeries source = bars.Close;
int period = 10;
TSeries batchTs = Dpo.Batch(source, period);
var spanOutput = new double[source.Count];
Dpo.Batch(source.Values, spanOutput, period);
for (int i = 0; i < source.Count; i++)
{
Assert.Equal(batchTs.Values[i], spanOutput[i], Tolerance);
}
}
[Fact]
public void Batch_Span_NaN_Handled()
{
double[] src = [1, 2, double.NaN, 4, 5, 6, 7, 8, 9, 10];
var output = new double[src.Length];
var ex = Record.Exception(() => Dpo.Batch(src.AsSpan(), output.AsSpan(), 5));
Assert.Null(ex);
}
// ───── H) Chainability ─────
[Fact]
public void PubEvent_FiresOnUpdate()
{
var dpo = new Dpo(DefaultPeriod);
int firedCount = 0;
dpo.Pub += (object? _, in TValueEventArgs _) => firedCount++;
dpo.Update(new TValue(DateTime.UtcNow, 100.0));
Assert.Equal(1, firedCount);
}
[Fact]
public void EventChaining_Works()
{
var source = new TSeries();
var dpo = new Dpo(source, period: 5);
var downstream = new TSeries();
dpo.Pub += (object? _, in TValueEventArgs e) => downstream.Add(e.Value);
for (int i = 0; i < 15; i++)
{
source.Add(new TValue(DateTime.UtcNow, 100.0 + i));
}
Assert.Equal(15, downstream.Count);
}
// ───── Calculate ─────
[Fact]
public void Calculate_ReturnsResultsAndHotIndicator()
{
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 42);
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
TSeries source = bars.Close;
var (results, indicator) = Dpo.Calculate(source, period: 5);
Assert.Equal(source.Count, results.Count);
Assert.True(indicator.IsHot);
}
// ───── Update(TSeries) ─────
[Fact]
public void UpdateTSeries_MatchesStreaming()
{
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 42);
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
TSeries source = bars.Close;
int period = 10;
var streaming = new Dpo(period);
var streamResults = new double[source.Count];
for (int i = 0; i < source.Count; i++)
{
streamResults[i] = streaming.Update(source[i]).Value;
}
var batch = new Dpo(period);
TSeries batchResults = batch.Update(source);
for (int i = 0; i < source.Count; i++)
{
Assert.Equal(streamResults[i], batchResults.Values[i], Tolerance);
}
}
// ───── Displacement property ─────
[Fact]
public void Displacement_Correct_EvenPeriod()
{
var dpo = new Dpo(period: 20);
Assert.Equal(11, dpo.Displacement); // 20/2 + 1
}
[Fact]
public void Displacement_Correct_OddPeriod()
{
var dpo = new Dpo(period: 21);
Assert.Equal(11, dpo.Displacement); // 21/2 + 1 = 10 + 1 (integer division)
}
}