using System; using System.Collections.Generic; using Xunit; namespace QuanTAlib; public class AoTests { [Fact] public void BasicCalculation_DoesNotCrash() { var ao = new Ao(5, 34); var gbm = new GBM(); var bars = gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)); for (int i = 0; i < bars.Count; i++) { ao.Update(bars[i]); } Assert.True(double.IsFinite(ao.Last.Value)); } [Fact] public void IsNew_Consistency() { var ao = new Ao(5, 34); var gbm = new GBM(); var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)); // Feed first 99 for (int i = 0; i < 99; i++) { ao.Update(bars[i]); } // Update with 100th point (isNew=true) ao.Update(bars[99], true); // Update with modified 100th point (isNew=false) var modifiedBar = new TBar(bars[99].Time, bars[99].Open, bars[99].High + 1.0, bars[99].Low - 1.0, bars[99].Close, bars[99].Volume); var val2 = ao.Update(modifiedBar, false); // Create new instance and feed up to modified var ao2 = new Ao(5, 34); for (int i = 0; i < 99; i++) { ao2.Update(bars[i]); } var val3 = ao2.Update(modifiedBar, true); Assert.Equal(val3.Value, val2.Value, 1e-9); } [Fact] public void Reset_Works() { var ao = new Ao(5, 34); var gbm = new GBM(); var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)); for (int i = 0; i < bars.Count; i++) { ao.Update(bars[i]); } ao.Reset(); Assert.Equal(0, ao.Last.Value); Assert.False(ao.IsHot); // Feed again for (int i = 0; i < bars.Count; i++) { ao.Update(bars[i]); } Assert.True(double.IsFinite(ao.Last.Value)); } [Fact] public void TBarSeries_Update_Matches_Streaming() { var ao = new Ao(5, 34); var gbm = new GBM(); var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)); var streamingResults = new List(); for (int i = 0; i < bars.Count; i++) { streamingResults.Add(ao.Update(bars[i]).Value); } var ao2 = new Ao(5, 34); var seriesResults = ao2.Update(bars); Assert.Equal(streamingResults.Count, seriesResults.Count); for (int i = 0; i < seriesResults.Count; i++) { Assert.Equal(streamingResults[i], seriesResults.Values[i], 1e-9); } } [Fact] public void StaticCalculate_Matches_Streaming() { var gbm = new GBM(); var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)); var ao = new Ao(5, 34); var streamingResults = new List(); for (int i = 0; i < bars.Count; i++) { streamingResults.Add(ao.Update(bars[i]).Value); } var staticResults = Ao.Batch(bars, 5, 34); Assert.Equal(streamingResults.Count, staticResults.Count); for (int i = 0; i < staticResults.Count; i++) { Assert.Equal(streamingResults[i], staticResults.Values[i], 1e-9); } } [Fact] public void Chainability_Works() { var ao = new Ao(5, 34); var gbm = new GBM(); var bars = gbm.Fetch(10, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1)); // Test TBarSeries chain var result = ao.Update(bars); Assert.NotNull(result); Assert.IsType(result); // Test TBar chain (returns TValue) var result2 = ao.Update(bars[0]); Assert.IsType(result2); } [Fact] public void Constructor_InvalidParameters_ThrowsArgumentException() { Assert.Throws(() => new Ao(0, 34)); Assert.Throws(() => new Ao(5, 0)); Assert.Throws(() => new Ao(34, 5)); // Fast >= Slow } }