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Miha Kralj 060649192f docs: remove C# Implementation Considerations sections, clean up temp scripts, reorganize test files
- Remove 'C# Implementation Considerations' sections from 34 indicator .md files
- Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.)
- Move test files into tests/ subdirectories for consistent project structure
- Add trader-focused bullet points to indicator documentation
2026-03-12 12:34:16 -07:00

274 lines
8.0 KiB
C#

namespace QuanTAlib;
public class ApoTests
{
[Fact]
public void BasicCalculation_DoesNotCrash()
{
var apo = new Apo(12, 26);
var gbm = new GBM();
var bars = gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < bars.Count; i++)
{
apo.Update(bars[i]);
}
Assert.True(double.IsFinite(apo.Last.Value));
}
[Fact]
public void IsNew_Consistency()
{
var apo = new Apo(12, 26);
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++)
{
apo.Update(bars[i]);
}
// Update with 100th point (isNew=true)
apo.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 = apo.Update(modifiedBar, false);
// Create new instance and feed up to modified
var apo2 = new Apo(12, 26);
for (int i = 0; i < 99; i++)
{
apo2.Update(bars[i]);
}
var val3 = apo2.Update(modifiedBar, true);
Assert.Equal(val3.Value, val2.Value, 1e-9);
}
[Fact]
public void Reset_Works()
{
var apo = new Apo(12, 26);
var gbm = new GBM();
var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < bars.Count; i++)
{
apo.Update(bars[i]);
}
apo.Reset();
Assert.Equal(0, apo.Last.Value);
Assert.False(apo.IsHot);
// Feed again
for (int i = 0; i < bars.Count; i++)
{
apo.Update(bars[i]);
}
Assert.True(double.IsFinite(apo.Last.Value));
}
[Fact]
public void TBarSeries_Update_Matches_Streaming()
{
var apo = new Apo(12, 26);
var gbm = new GBM();
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
var streamingResults = new List<double>();
for (int i = 0; i < bars.Count; i++)
{
streamingResults.Add(apo.Update(bars[i]).Value);
}
var apo2 = new Apo(12, 26);
var seriesResults = apo2.Update(bars.Close);
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 apo = new Apo(12, 26);
var streamingResults = new List<double>();
for (int i = 0; i < bars.Count; i++)
{
streamingResults.Add(apo.Update(bars[i]).Value);
}
var staticResults = Apo.Batch(bars.Close, 12, 26);
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 apo = new Apo(12, 26);
var gbm = new GBM();
var bars = gbm.Fetch(10, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// Test TBarSeries chain
var result = apo.Update(bars.Close);
Assert.NotNull(result);
Assert.IsType<TSeries>(result);
// Test TBar chain (returns TValue)
var result2 = apo.Update(bars[0]);
Assert.IsType<TValue>(result2);
}
[Fact]
public void Constructor_InvalidParameters_ThrowsArgumentException()
{
Assert.Throws<ArgumentException>(() => new Apo(0, 26));
Assert.Throws<ArgumentException>(() => new Apo(12, 0));
Assert.Throws<ArgumentException>(() => new Apo(26, 12)); // Fast >= Slow
}
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var apo = new Apo(12, 26);
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
// Feed 50 new values (more than slow period)
TBar fiftiethInput = default;
for (int i = 0; i < 50; i++)
{
var bar = gbm.Next(isNew: true);
fiftiethInput = bar;
apo.Update(bar, isNew: true);
}
// Remember state after 50 values
double stateAfterFifty = apo.Last.Value;
// Generate 9 corrections with isNew=false (different values)
for (int i = 0; i < 9; i++)
{
var bar = gbm.Next(isNew: false);
apo.Update(bar, isNew: false);
}
// Feed the remembered 50th input again with isNew=false
TValue finalResult = apo.Update(fiftiethInput, isNew: false);
// State should match the original state after 50 values
Assert.Equal(stateAfterFifty, finalResult.Value, 1e-10);
}
[Fact]
public void IsHot_BecomesTrueWhenBufferFull()
{
var apo = new Apo(12, 26);
var gbm = new GBM();
Assert.False(apo.IsHot);
// Feed bars until IsHot becomes true
int count = 0;
while (!apo.IsHot && count < 100)
{
var bar = gbm.Next(isNew: true);
apo.Update(bar, isNew: true);
count++;
}
Assert.True(apo.IsHot);
Assert.True(count >= 26); // Should take at least slow period bars
}
[Fact]
public void NaN_Input_UsesLastValidValue()
{
var apo = new Apo(12, 26);
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// Feed some valid bars first
for (int i = 0; i < 40; i++)
{
apo.Update(bars[i]);
}
// Create a bar with NaN close value
var nanBar = new TBar(DateTime.UtcNow, 100, 105, 95, double.NaN, 1000);
var result = apo.Update(nanBar);
// Should not crash and should return a finite value
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var apo = new Apo(12, 26);
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// Feed some valid bars first
for (int i = 0; i < 40; i++)
{
apo.Update(bars[i]);
}
// Create a bar with Infinity close value
var infBar = new TBar(DateTime.UtcNow, 100, 105, 95, double.PositiveInfinity, 1000);
var result = apo.Update(infBar);
// Should not crash and should return a finite value
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void AllModes_ProduceSameResult()
{
// Arrange
const int fastPeriod = 12;
int slowPeriod = 26;
var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
var closeSeries = bars.Close;
// 1. Batch Mode (static method)
var batchSeries = Apo.Batch(closeSeries, fastPeriod, slowPeriod);
double expected = batchSeries.Last.Value;
// 2. Streaming Mode (instance, one bar at a time)
var streamingInd = new Apo(fastPeriod, slowPeriod);
for (int i = 0; i < bars.Count; i++)
{
streamingInd.Update(bars[i]);
}
double streamingResult = streamingInd.Last.Value;
// 3. Instance Update with TSeries
var instanceInd = new Apo(fastPeriod, slowPeriod);
var instanceResult = instanceInd.Update(closeSeries);
double instanceValue = instanceResult.Last.Value;
// Assert all modes produce identical results
Assert.Equal(expected, streamingResult, precision: 9);
Assert.Equal(expected, instanceValue, precision: 9);
}
}