using TradingPlatform.BusinessLayer; using Xunit; namespace QuanTAlib.Tests; public class TtmLrcIndicatorTests { [Fact] public void Constructor_SetsDefaults() { var ind = new TtmLrcIndicator(); Assert.Equal(100, ind.Period); Assert.Equal(PriceType.Close, ind.SourceType); Assert.True(ind.ShowColdValues); Assert.Equal("TTM LRC - Linear Regression Channel", ind.Name); Assert.False(ind.SeparateWindow); Assert.True(ind.OnBackGround); } [Fact] public void MinHistoryDepths_EqualsPeriod() { var ind = new TtmLrcIndicator { Period = 50 }; Assert.Equal(50, ind.MinHistoryDepths); } [Fact] public void ShortName_ReflectsParameters() { var ind = new TtmLrcIndicator { Period = 75 }; Assert.Contains("75", ind.ShortName, StringComparison.Ordinal); } [Fact] public void Initialize_AddsFiveLineSeries() { var ind = new TtmLrcIndicator { Period = 20 }; ind.Initialize(); Assert.Equal(5, ind.LinesSeries.Count); Assert.Equal("Midline", ind.LinesSeries[0].Name); Assert.Equal("Upper1", ind.LinesSeries[1].Name); Assert.Equal("Lower1", ind.LinesSeries[2].Name); Assert.Equal("Upper2", ind.LinesSeries[3].Name); Assert.Equal("Lower2", ind.LinesSeries[4].Name); } [Fact] public void ProcessUpdate_Historical_ComputesValues() { var ind = new TtmLrcIndicator { Period = 5 }; ind.Initialize(); var now = DateTime.UtcNow; ind.HistoricalData.AddBar(now, 100, 110, 90, 102); ind.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); Assert.Equal(1, ind.LinesSeries[0].Count); for (int i = 0; i < 5; i++) { Assert.True(double.IsFinite(ind.LinesSeries[i].GetValue(0)), $"LinesSeries[{i}] should be finite"); } } [Fact] public void ProcessUpdate_NewBar_Appends() { var ind = new TtmLrcIndicator { Period = 5 }; ind.Initialize(); var now = DateTime.UtcNow; ind.HistoricalData.AddBar(now, 100, 110, 90, 102); ind.HistoricalData.AddBar(now.AddMinutes(1), 102, 112, 92, 104); ind.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); ind.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar)); Assert.Equal(2, ind.LinesSeries[0].Count); Assert.Equal(2, ind.LinesSeries[1].Count); Assert.Equal(2, ind.LinesSeries[2].Count); Assert.Equal(2, ind.LinesSeries[3].Count); Assert.Equal(2, ind.LinesSeries[4].Count); } [Fact] public void ProcessUpdate_NewTick_DoesNotThrow() { var ind = new TtmLrcIndicator { Period = 5 }; ind.Initialize(); var now = DateTime.UtcNow; ind.HistoricalData.AddBar(now, 100, 105, 95, 102); ind.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); ind.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick)); Assert.Equal(2, ind.LinesSeries[0].Count); } [Fact] public void MultipleUpdates_ProducesFiniteSeries() { var ind = new TtmLrcIndicator { Period = 10 }; ind.Initialize(); var now = DateTime.UtcNow; for (int i = 0; i < 30; i++) { ind.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 105 + i, 95 + i, 102 + i); ind.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); } for (int lineIdx = 0; lineIdx < 5; lineIdx++) { Assert.Equal(30, ind.LinesSeries[lineIdx].Count); for (int i = 0; i < 30; i++) { Assert.True(double.IsFinite(ind.LinesSeries[lineIdx].GetValue(i)), $"LinesSeries[{lineIdx}][{i}] should be finite"); } } } [Fact] public void Bands_Order_Correct() { var ind = new TtmLrcIndicator { Period = 10 }; ind.Initialize(); var now = DateTime.UtcNow; // Add some volatility to ensure non-zero stddev for (int i = 0; i < 20; i++) { double price = 100 + Math.Sin(i * 0.5) * 10; ind.HistoricalData.AddBar(now.AddMinutes(i), price, price + 5, price - 5, price, 1000); ind.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); } double midline = ind.LinesSeries[0].GetValue(0); double upper1 = ind.LinesSeries[1].GetValue(0); double lower1 = ind.LinesSeries[2].GetValue(0); double upper2 = ind.LinesSeries[3].GetValue(0); double lower2 = ind.LinesSeries[4].GetValue(0); // Upper2 >= Upper1 >= Midline >= Lower1 >= Lower2 Assert.True(upper2 >= upper1, $"Upper2 ({upper2}) should be >= Upper1 ({upper1})"); Assert.True(upper1 >= midline, $"Upper1 ({upper1}) should be >= Midline ({midline})"); Assert.True(midline >= lower1, $"Midline ({midline}) should be >= Lower1 ({lower1})"); Assert.True(lower1 >= lower2, $"Lower1 ({lower1}) should be >= Lower2 ({lower2})"); } [Fact] public void FirstBar_BandsCollapsed() { var ind = new TtmLrcIndicator { Period = 10 }; ind.Initialize(); var now = DateTime.UtcNow; ind.HistoricalData.AddBar(now, 100, 110, 90, 100); ind.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); double midline = ind.LinesSeries[0].GetValue(0); double upper1 = ind.LinesSeries[1].GetValue(0); double lower1 = ind.LinesSeries[2].GetValue(0); double upper2 = ind.LinesSeries[3].GetValue(0); double lower2 = ind.LinesSeries[4].GetValue(0); // First bar: stddev = 0, so bands should be at midline Assert.Equal(100.0, midline, 1e-10); Assert.Equal(100.0, upper1, 1e-10); Assert.Equal(100.0, lower1, 1e-10); Assert.Equal(100.0, upper2, 1e-10); Assert.Equal(100.0, lower2, 1e-10); } [Fact] public void Bands_Symmetric_AroundMiddle() { var ind = new TtmLrcIndicator { Period = 10 }; ind.Initialize(); var bars = new GBM(seed: 42).Fetch(20, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)); for (int i = 0; i < 20; i++) { var bar = bars[i]; ind.HistoricalData.AddBar(bar.AsDateTime, bar.Open, bar.High, bar.Low, bar.Close); ind.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); } double midline = ind.LinesSeries[0].GetValue(0); double upper1 = ind.LinesSeries[1].GetValue(0); double lower1 = ind.LinesSeries[2].GetValue(0); double upper2 = ind.LinesSeries[3].GetValue(0); double lower2 = ind.LinesSeries[4].GetValue(0); double upper1Dist = upper1 - midline; double lower1Dist = midline - lower1; double upper2Dist = upper2 - midline; double lower2Dist = midline - lower2; Assert.Equal(upper1Dist, lower1Dist, 1e-10); Assert.Equal(upper2Dist, lower2Dist, 1e-10); Assert.Equal(upper2Dist, upper1Dist * 2, 1e-10); } [Fact] public void LinearData_ZeroStdDev() { var ind = new TtmLrcIndicator { Period = 10 }; ind.Initialize(); var now = DateTime.UtcNow; // Perfect linear data: y = 100 + 2*i for (int i = 0; i < 20; i++) { double price = 100 + i * 2; ind.HistoricalData.AddBar(now.AddMinutes(i), price, price, price, price); ind.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); } double midline = ind.LinesSeries[0].GetValue(0); double upper1 = ind.LinesSeries[1].GetValue(0); double lower1 = ind.LinesSeries[2].GetValue(0); double upper2 = ind.LinesSeries[3].GetValue(0); double lower2 = ind.LinesSeries[4].GetValue(0); // With perfect linear fit, stddev of residuals is 0 Assert.Equal(midline, upper1, 1e-9); Assert.Equal(midline, lower1, 1e-9); Assert.Equal(midline, upper2, 1e-9); Assert.Equal(midline, lower2, 1e-9); } [Fact] public void DifferentPriceTypes_Work() { var indClose = new TtmLrcIndicator { Period = 10, SourceType = PriceType.Close }; var indHigh = new TtmLrcIndicator { Period = 10, SourceType = PriceType.High }; indClose.Initialize(); indHigh.Initialize(); var now = DateTime.UtcNow; for (int i = 0; i < 20; i++) { indClose.HistoricalData.AddBar(now.AddMinutes(i), 100, 120, 80, 100); indHigh.HistoricalData.AddBar(now.AddMinutes(i), 100, 120, 80, 100); indClose.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); indHigh.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); } double closeMidline = indClose.LinesSeries[0].GetValue(0); double highMidline = indHigh.LinesSeries[0].GetValue(0); Assert.True(highMidline > closeMidline, "High price type should produce higher midline than Close"); } [Fact] public void TrendingData_MiddleFollowsTrend() { var ind = new TtmLrcIndicator { Period = 10 }; ind.Initialize(); var now = DateTime.UtcNow; for (int i = 0; i < 30; i++) { double price = 100 + i * 2; // Strong uptrend ind.HistoricalData.AddBar(now.AddMinutes(i), price, price + 2, price - 2, price); ind.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); } // After warmup, midline should be close to the current regression line value double midline = ind.LinesSeries[0].GetValue(0); double lastPrice = 100 + 29 * 2; // 158 // Midline should be close to last price (within reasonable range for regression) Assert.True(Math.Abs(midline - lastPrice) < 10, $"Midline ({midline}) should be close to last price ({lastPrice})"); } [Fact] public void Outer_Bands_Width_Double_Of_Inner() { var ind = new TtmLrcIndicator { Period = 10 }; ind.Initialize(); var now = DateTime.UtcNow; var bars = new GBM(seed: 42).Fetch(20, now.Ticks, TimeSpan.FromMinutes(1)); for (int i = 0; i < 20; i++) { var bar = bars[i]; ind.HistoricalData.AddBar(bar.AsDateTime, bar.Open, bar.High, bar.Low, bar.Close); ind.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar)); } double midline = ind.LinesSeries[0].GetValue(0); double upper1 = ind.LinesSeries[1].GetValue(0); double upper2 = ind.LinesSeries[3].GetValue(0); double inner1Sigma = upper1 - midline; double outer2Sigma = upper2 - midline; // ±2σ bands should be exactly twice as wide as ±1σ bands Assert.Equal(inner1Sigma * 2, outer2Sigma, 1e-10); } [Fact] public void DefaultPeriod100_HigherWarmup() { var ind = new TtmLrcIndicator(); // Default period = 100 ind.Initialize(); Assert.Equal(100, ind.MinHistoryDepths); } }