using Xunit; using TradingPlatform.BusinessLayer; namespace QuanTAlib.Tests; public class AmatIndicatorTests { [Fact] public void AmatIndicator_Constructor_SetsDefaults() { var indicator = new AmatIndicator(); Assert.Equal(10, indicator.FastPeriod); Assert.Equal(50, indicator.SlowPeriod); Assert.Equal(SourceType.Close, indicator.Source); Assert.True(indicator.ShowColdValues); Assert.Equal("AMAT - Archer Moving Averages Trends", indicator.Name); Assert.True(indicator.SeparateWindow); Assert.False(indicator.OnBackGround); } [Fact] public void AmatIndicator_MinHistoryDepths_IsSlowPeriod() { var indicator = new AmatIndicator { FastPeriod = 10, SlowPeriod = 50 }; Assert.Equal(50, indicator.MinHistoryDepths); indicator = new AmatIndicator { FastPeriod = 5, SlowPeriod = 100 }; Assert.Equal(100, indicator.MinHistoryDepths); } [Fact] public void AmatIndicator_ShortName_IncludesParameters() { var indicator = new AmatIndicator { FastPeriod = 10, SlowPeriod = 50 }; Assert.Equal("AMAT(10,50)", indicator.ShortName); indicator = new AmatIndicator { FastPeriod = 5, SlowPeriod = 20 }; Assert.Equal("AMAT(5,20)", indicator.ShortName); } [Fact] public void AmatIndicator_Initialize_CreatesLineSeries() { var indicator = new AmatIndicator { FastPeriod = 10, SlowPeriod = 50 }; indicator.Initialize(); // Should have 5 line series: Trend, Strength, Fast EMA, Slow EMA, Zero Assert.Equal(5, indicator.LinesSeries.Count); Assert.Equal("Trend", indicator.LinesSeries[0].Name); Assert.Equal("Strength", indicator.LinesSeries[1].Name); Assert.Equal("Fast EMA", indicator.LinesSeries[2].Name); Assert.Equal("Slow EMA", indicator.LinesSeries[3].Name); Assert.Equal("Zero", indicator.LinesSeries[4].Name); } [Fact] public void AmatIndicator_ProcessUpdate_HistoricalBar_ComputesValue() { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 10 }; indicator.Initialize(); var now = DateTime.UtcNow; indicator.HistoricalData.AddBar(now, 100, 105, 95, 102); var args = new UpdateArgs(UpdateReason.HistoricalBar); indicator.ProcessUpdate(args); // After one bar, all 5 series should have values Assert.Equal(1, indicator.LinesSeries[0].Count); Assert.Equal(1, indicator.LinesSeries[1].Count); Assert.Equal(1, indicator.LinesSeries[2].Count); Assert.Equal(1, indicator.LinesSeries[3].Count); Assert.Equal(1, indicator.LinesSeries[4].Count); } [Fact] public void AmatIndicator_ProcessUpdate_NewBar_ComputesValue() { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 10 }; indicator.Initialize(); var now = DateTime.UtcNow; indicator.HistoricalData.AddBar(now, 100, 105, 95, 102); indicator.HistoricalData.AddBar(now.AddMinutes(1), 102, 108, 100, 106); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar)); Assert.Equal(2, indicator.LinesSeries[0].Count); } [Fact] public void AmatIndicator_ProcessUpdate_NewTick_ProcessesWithoutError() { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 10 }; indicator.Initialize(); var now = DateTime.UtcNow; indicator.HistoricalData.AddBar(now, 100, 105, 95, 102); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick)); // NewTick should update without crashing Assert.Equal(2, indicator.LinesSeries[0].Count); } [Fact] public void AmatIndicator_MultipleUpdates_ProducesCorrectSequence() { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 10 }; indicator.Initialize(); var now = DateTime.UtcNow; // Add bars in uptrend for (int i = 0; i < 20; i++) { indicator.HistoricalData.AddBar( now.AddMinutes(i), 100 + i * 2, 105 + i * 2, 95 + i * 2, 102 + i * 2); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); } Assert.Equal(20, indicator.LinesSeries[0].Count); // Check that values are finite for (int i = 0; i < 20; i++) { Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(i))); Assert.True(double.IsFinite(indicator.LinesSeries[1].GetValue(i))); Assert.True(double.IsFinite(indicator.LinesSeries[2].GetValue(i))); Assert.True(double.IsFinite(indicator.LinesSeries[3].GetValue(i))); Assert.Equal(0, indicator.LinesSeries[4].GetValue(i)); // Zero line } } [Fact] public void AmatIndicator_DifferentSourceTypes_Work() { var sources = new[] { SourceType.Open, SourceType.High, SourceType.Low, SourceType.Close, SourceType.HL2, SourceType.HLC3, }; foreach (var source in sources) { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 10, Source = source }; indicator.Initialize(); var now = DateTime.UtcNow; indicator.HistoricalData.AddBar(now, 100, 110, 90, 105); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); // All source types should produce values without crashing Assert.Equal(1, indicator.LinesSeries[0].Count); } } [Fact] public void AmatIndicator_FastPeriod_CanBeChanged() { var indicator = new AmatIndicator(); indicator.FastPeriod = 5; Assert.Equal(5, indicator.FastPeriod); Assert.Equal("AMAT(5,50)", indicator.ShortName); } [Fact] public void AmatIndicator_SlowPeriod_CanBeChanged() { var indicator = new AmatIndicator(); indicator.SlowPeriod = 100; Assert.Equal(100, indicator.SlowPeriod); Assert.Equal(100, indicator.MinHistoryDepths); Assert.Equal("AMAT(10,100)", indicator.ShortName); } [Fact] public void AmatIndicator_ShowColdValues_False_SetsNaN() { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 100, ShowColdValues = false }; indicator.Initialize(); var now = DateTime.UtcNow; // Add a few bars (less than warmup) for (int i = 0; i < 5; i++) { indicator.HistoricalData.AddBar(now.AddMinutes(i), 100, 105, 95, 102); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); } // With ShowColdValues = false, cold values should be NaN // (before warmup is complete) Assert.True(double.IsNaN(indicator.LinesSeries[0].GetValue(0))); } [Fact] public void AmatIndicator_Uptrend_ProducesBullishSignal() { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 10 }; indicator.Initialize(); var now = DateTime.UtcNow; // Create a strong uptrend for (int i = 0; i < 30; i++) { double price = 100 + i * 5; indicator.HistoricalData.AddBar(now.AddMinutes(i), price, price + 2, price - 2, price); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); } // After warmup in uptrend, should show bullish (+1) double lastTrend = indicator.LinesSeries[0].GetValue(0); Assert.Equal(1.0, lastTrend); } [Fact] public void AmatIndicator_Downtrend_ProducesBearishSignal() { var indicator = new AmatIndicator { FastPeriod = 3, SlowPeriod = 10 }; indicator.Initialize(); var now = DateTime.UtcNow; // Create a strong downtrend for (int i = 0; i < 30; i++) { double price = 200 - i * 5; indicator.HistoricalData.AddBar(now.AddMinutes(i), price, price + 2, price - 2, price); indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar)); } // After warmup in downtrend, should show bearish (-1) double lastTrend = indicator.LinesSeries[0].GetValue(0); Assert.Equal(-1.0, lastTrend); } }