mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-15 17:18:05 +00:00
182 lines
5.0 KiB
C#
182 lines
5.0 KiB
C#
using System;
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using Xunit;
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namespace QuanTAlib;
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public class MamaTests
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{
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[Fact]
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public void Constructor_InvalidParameters_ThrowsArgumentException()
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{
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Assert.Throws<ArgumentException>(() => new Mama(fastLimit: 0.05, slowLimit: 0.5)); // fast < slow
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Assert.Throws<ArgumentException>(() => new Mama(fastLimit: 0.5, slowLimit: -0.1)); // slow < 0
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Assert.Throws<ArgumentException>(() => new Mama(fastLimit: 0.0, slowLimit: 0.05)); // fast <= 0
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}
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[Fact]
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public void Update_ValidInput_CalculatesMamaAndFama()
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{
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var mama = new Mama(fastLimit: 0.5, slowLimit: 0.05);
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var input = new TValue(DateTime.UtcNow, 100.0);
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var result = mama.Update(input);
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Assert.Equal(100.0, result.Value); // First value should be price
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Assert.Equal(100.0, mama.Fama.Value);
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}
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[Fact]
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public void Update_NaN_HandlesGracefully()
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{
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var mama = new Mama();
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var input = new TValue(DateTime.UtcNow, double.NaN);
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var result = mama.Update(input);
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// Should return 0.0 (last valid price default) instead of NaN to avoid state corruption
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Assert.Equal(0.0, result.Value);
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}
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[Fact]
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public void Update_Series_ReturnsSameCount()
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{
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var mama = new Mama();
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var source = new TSeries();
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source.Add(new TValue(DateTime.UtcNow, 100.0));
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source.Add(new TValue(DateTime.UtcNow.AddMinutes(1), 101.0));
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var result = mama.Update(source);
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Assert.Equal(source.Count, result.Count);
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}
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[Fact]
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public void Chain_Update_Works()
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{
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var mama = new Mama(0.5, 0.05);
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// Manually chain for test
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bool eventFired = false;
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mama.Pub += (item) => eventFired = true;
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mama.Update(new TValue(DateTime.UtcNow, 100.0));
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Assert.True(eventFired);
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}
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[Fact]
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public void Update_Series_AppendsData()
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{
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var mama1 = new Mama();
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var mama2 = new Mama();
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var data = new TSeries();
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var now = DateTime.UtcNow;
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for (int i = 0; i < 50; i++)
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{
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data.Add(new TValue(now.AddMinutes(i), 100.0 + Math.Sin(i * 0.1) * 10));
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}
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// Case 1: Update all at once
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var result1 = mama1.Update(data);
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// Case 2: Update in chunks
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var chunk1 = new TSeries();
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var chunk2 = new TSeries();
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for (int i = 0; i < 25; i++) chunk1.Add(data[i]);
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for (int i = 25; i < 50; i++) chunk2.Add(data[i]);
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mama2.Update(chunk1);
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var result2 = mama2.Update(chunk2);
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// Verify final state is same
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Assert.Equal(mama1.Last.Value, mama2.Last.Value, 6);
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Assert.Equal(mama1.Fama.Value, mama2.Fama.Value, 6);
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// Verify the returned series from the second chunk matches the second half of the full result
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for (int i = 0; i < 25; i++)
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{
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Assert.Equal(result1[25 + i].Value, result2[i].Value, 6);
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}
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}
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[Fact]
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public void IsHot_BecomesTrueAfterWarmup()
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{
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var mama = new Mama();
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// MAMA needs 6 bars to warmup (Index > 6)
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for (int i = 0; i < 6; i++)
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{
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mama.Update(new TValue(DateTime.UtcNow, 100));
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Assert.False(mama.IsHot);
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}
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mama.Update(new TValue(DateTime.UtcNow, 100));
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Assert.True(mama.IsHot);
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}
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[Fact]
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public void Reset_ClearsState()
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{
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var mama = new Mama();
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for (int i = 0; i < 10; i++)
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{
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mama.Update(new TValue(DateTime.UtcNow, 100));
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}
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Assert.True(mama.IsHot);
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mama.Reset();
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Assert.False(mama.IsHot);
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Assert.True(double.IsNaN(mama.Last.Value));
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}
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[Fact]
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public void Update_BarCorrection_UpdatesCorrectly()
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{
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var mama = new Mama();
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// Warmup
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for (int i = 0; i < 10; i++)
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{
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mama.Update(new TValue(DateTime.UtcNow, 100));
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}
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// New bar
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var result1 = mama.Update(new TValue(DateTime.UtcNow, 110));
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// Update same bar with different value
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var result2 = mama.Update(new TValue(DateTime.UtcNow, 120), isNew: false);
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Assert.NotEqual(result1.Value, result2.Value);
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// Verify internal state by adding next bar
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var result3 = mama.Update(new TValue(DateTime.UtcNow, 130));
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Assert.True(double.IsFinite(result3.Value));
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}
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[Fact]
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public void Calculate_StaticMethod_MatchesObjectInstance()
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{
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var source = new TSeries();
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var gbm = new GBM(startPrice: 100, seed: 42);
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for (int i = 0; i < 50; i++)
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{
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var bar = gbm.Next();
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source.Add(bar.C);
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}
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var mama = new Mama();
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var series1 = mama.Update(source);
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var series2 = Mama.Batch(source);
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Assert.Equal(series1.Count, series2.Count);
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for (int i = 0; i < source.Count; i++)
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{
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Assert.Equal(series1[i].Value, series2[i].Value, 1e-9);
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}
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}
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}
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