Files
QuanTAlib/lib/numerics/tdist/Tdist.Quantower.Tests.cs
T
2026-02-26 09:59:44 -08:00

206 lines
6.7 KiB
C#

using Xunit;
using TradingPlatform.BusinessLayer;
namespace QuanTAlib.Tests;
public class TdistIndicatorTests
{
[Fact]
public void TdistIndicator_Constructor_SetsDefaults()
{
var indicator = new TdistIndicator();
Assert.Equal(SourceType.Close, indicator.Source);
Assert.Equal(10, indicator.Nu);
Assert.Equal(14, indicator.Period);
Assert.True(indicator.ShowColdValues);
Assert.Equal("TDIST - Student's t-Distribution CDF", indicator.Name);
Assert.True(indicator.SeparateWindow);
Assert.True(indicator.OnBackGround);
}
[Fact]
public void TdistIndicator_MinHistoryDepths_EqualsPeriod()
{
var indicator = new TdistIndicator { Period = 30 };
Assert.Equal(30, indicator.MinHistoryDepths);
}
[Fact]
public void TdistIndicator_ShortName_IsCorrect()
{
var indicator = new TdistIndicator { Nu = 5, Period = 20 };
Assert.Equal("TDIST(5,20)", indicator.ShortName);
}
[Fact]
public void TdistIndicator_Initialize_CreatesTwoLineSeries()
{
var indicator = new TdistIndicator();
indicator.Initialize();
Assert.Equal(2, indicator.LinesSeries.Count);
Assert.Equal("TDist", indicator.LinesSeries[0].Name);
Assert.Equal("Mid", indicator.LinesSeries[1].Name);
}
[Fact]
public void TdistIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
{
var indicator = new TdistIndicator { Nu = 10, Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 5; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 0, 105 + i, 95 - i, 100 + i);
var args = new UpdateArgs(UpdateReason.HistoricalBar);
indicator.ProcessUpdate(args);
}
double val = indicator.LinesSeries[0].GetValue(0);
Assert.True(double.IsFinite(val), "Output must be finite after warmup");
Assert.True(val >= 0.0 && val <= 1.0, $"Output {val} must be in [0,1]");
}
[Fact]
public void TdistIndicator_ProcessUpdate_NewBar_AddsNewValue()
{
var indicator = new TdistIndicator { Nu = 10, Period = 3 };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 3; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 0, 105, 95, 100 + i);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
indicator.HistoricalData.AddBar(now.AddMinutes(3), 0, 106, 96, 103);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar));
Assert.Equal(4, indicator.LinesSeries[0].Count);
}
[Fact]
public void TdistIndicator_ProcessUpdate_NewTick_ProcessesWithoutError()
{
var indicator = new TdistIndicator { Period = 3 };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 0, 105, 95, 100);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick));
Assert.Equal(2, indicator.LinesSeries[0].Count);
}
[Fact]
public void TdistIndicator_MidLine_IsAlwaysHalf()
{
var indicator = new TdistIndicator { Period = 3 };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 5; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 0, 105, 95, 100 + i);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
for (int i = 0; i < indicator.LinesSeries[1].Count; i++)
{
double mid = indicator.LinesSeries[1].GetValue(i);
Assert.Equal(0.5, mid, 1e-10);
}
}
[Fact]
public void TdistIndicator_DifferentSourceType_Works()
{
var indicator = new TdistIndicator { Period = 3, Source = SourceType.High };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 3; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 0, 110 + i, 90, 100);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
double val = indicator.LinesSeries[0].GetValue(0);
Assert.True(double.IsFinite(val));
}
[Fact]
public void TdistIndicator_OutputInRange_AfterManyBars()
{
var indicator = new TdistIndicator { Nu = 10, Period = 20 };
indicator.Initialize();
var now = DateTime.UtcNow;
var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 71001);
var bars = gbm.Fetch(50, now.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < bars.Close.Count; i++)
{
double price = bars.Close[i].Value;
indicator.HistoricalData.AddBar(
new DateTime(bars.Close[i].Time, DateTimeKind.Utc),
0, price * 1.01, price * 0.99, price);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
for (int i = 0; i < indicator.LinesSeries[0].Count; i++)
{
double val = indicator.LinesSeries[0].GetValue(i);
Assert.True(val >= 0.0 && val <= 1.0, $"Value {val} at index {i} out of range");
}
}
[Fact]
public void TdistIndicator_HighNu_ValidOutput()
{
var indicator = new TdistIndicator { Nu = 100, Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 5; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 0, 101 + i, 99 + i, 100 + i);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
double val = indicator.LinesSeries[0].GetValue(0);
Assert.True(double.IsFinite(val));
Assert.True(val >= 0.0 && val <= 1.0);
}
[Fact]
public void TdistIndicator_CauchyNu1_ValidOutput()
{
// nu=1 is the Cauchy distribution — heavier tails, should still be in [0,1]
var indicator = new TdistIndicator { Nu = 1, Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 5; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 0, 105 + i, 95, 100 + i);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
double val = indicator.LinesSeries[0].GetValue(0);
Assert.True(double.IsFinite(val));
Assert.True(val >= 0.0 && val <= 1.0);
}
[Fact]
public void TdistIndicator_CustomNu_ShortNameReflects()
{
var indicator = new TdistIndicator { Nu = 5, Period = 14 };
Assert.Equal("TDIST(5,14)", indicator.ShortName);
}
}