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- Updated RsiIndicatorTests to ensure proper initialization and state checks. - Added new tests for Rsx, Vel, and Adosc indicators to validate behavior under iterative corrections and edge cases (NaN, Infinity). - Enhanced Bessel indicator tests and implementation with consistent formatting. - Improved Ema and Pwma implementations by ensuring proper handling of values. - Introduced mock classes for charting to facilitate testing without dependencies. - Ensured all indicators produce consistent results across different modes of operation. - Cleaned up code formatting and added missing commas for better readability.
24 KiB
24 KiB
Momentum Indicators Test Implementation Plan
Objective: Bring all 13 momentum indicators to full compliance with testprotocol.md
Executive Summary
- Total Missing Tests: ~72 tests across 12 indicators
- Estimated Effort: 4-6 hours
- Priority: Start with MACD (most deficient), end with VEL (closest to compliant)
Phase 1: Critical Deficiencies (MACD, BOP)
1.1 MACD - Add 10 Tests
File: lib/momentum/macd/Macd.Tests.cs
// ADD THESE TESTS:
[Fact]
public void Constructor_InvalidParameters_ThrowsArgumentException()
{
Assert.Throws<ArgumentException>(() => new Macd(0, 26, 9));
Assert.Throws<ArgumentException>(() => new Macd(12, 0, 9));
Assert.Throws<ArgumentException>(() => new Macd(12, 26, 0));
Assert.Throws<ArgumentException>(() => new Macd(26, 12, 9)); // fast >= slow
}
[Fact]
public void Calc_IsNew_AcceptsParameter()
{
var macd = new Macd(12, 26, 9);
var gbm = new GBM();
var series = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 49; i++)
macd.Update(series.Close[i], isNew: true);
var val1 = macd.Update(series.Close[49], isNew: true);
var val2 = macd.Update(new TValue(DateTime.UtcNow, series.Close[49].Value + 1), isNew: true);
Assert.NotEqual(val1.Value, val2.Value);
}
[Fact]
public void Calc_IsNew_False_UpdatesValue()
{
var macd = new Macd(12, 26, 9);
var gbm = new GBM();
var series = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 49; i++)
macd.Update(series.Close[i]);
var val1 = macd.Update(series.Close[49], isNew: true);
var val2 = macd.Update(new TValue(series.Close[49].Time, series.Close[49].Value + 5), isNew: false);
Assert.Equal(val1.Time, val2.Time);
Assert.NotEqual(val1.Value, val2.Value);
}
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var macd = new Macd(12, 26, 9);
var gbm = new GBM();
var series = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 50; i++)
macd.Update(series.Close[i]);
var originalValue = macd.Last;
for (int m = 0; m < 5; m++)
{
var modified = new TValue(series.Close[49].Time, series.Close[49].Value + m);
macd.Update(modified, isNew: false);
}
var restored = macd.Update(series.Close[49], isNew: false);
Assert.Equal(originalValue.Value, restored.Value, 1e-9);
}
[Fact]
public void Reset_ClearsState()
{
var macd = new Macd(12, 26, 9);
var gbm = new GBM();
var series = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < series.Count; i++)
macd.Update(series.Close[i]);
macd.Reset();
Assert.Equal(0, macd.Last.Value);
Assert.False(macd.IsHot);
}
[Fact]
public void IsHot_BecomesTrueWhenBufferFull()
{
var macd = new Macd(12, 26, 9);
var gbm = new GBM();
var series = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
Assert.False(macd.IsHot);
for (int i = 0; i < series.Count; i++)
{
macd.Update(series.Close[i]);
if (i >= 40) break; // Should be hot by warmup
}
Assert.True(macd.IsHot);
}
[Fact]
public void NaN_Input_UsesLastValidValue()
{
var macd = new Macd(12, 26, 9);
var gbm = new GBM();
var series = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 40; i++)
macd.Update(series.Close[i]);
var result = macd.Update(new TValue(DateTime.UtcNow, double.NaN));
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var macd = new Macd(12, 26, 9);
var gbm = new GBM();
var series = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 40; i++)
macd.Update(series.Close[i]);
var result = macd.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void AllModes_ProduceSameResult()
{
var gbm = new GBM(seed: 123);
var series = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 1. Batch Mode
var batchMacd = new Macd(12, 26, 9);
var batchResult = batchMacd.Update(series.Close);
double expected = batchResult.Last.Value;
// 2. Span Mode
var spanOutput = new double[series.Count];
Macd.Calculate(series.Close.Values, spanOutput, 12, 26);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
var streamMacd = new Macd(12, 26, 9);
for (int i = 0; i < series.Count; i++)
streamMacd.Update(series.Close[i]);
double streamResult = streamMacd.Last.Value;
// 4. Eventing Mode
var pubSource = new TSeries();
var eventMacd = new Macd(pubSource, 12, 26, 9);
for (int i = 0; i < series.Count; i++)
pubSource.Add(series.Close[i]);
double eventResult = eventMacd.Last.Value;
Assert.Equal(expected, spanResult, 9);
Assert.Equal(expected, streamResult, 9);
Assert.Equal(expected, eventResult, 9);
}
[Fact]
public void SpanBatch_ValidatesInput()
{
double[] source = [1, 2, 3, 4, 5];
double[] output = new double[5];
double[] wrongSize = new double[3];
Assert.Throws<ArgumentException>(() => Macd.Calculate(source, wrongSize, 12, 26));
Assert.Throws<ArgumentException>(() => Macd.Calculate(source, output, 0, 26));
Assert.Throws<ArgumentException>(() => Macd.Calculate(source, output, 12, 0));
}
1.2 BOP - Add 9 Tests
File: lib/momentum/bop/Bop.Tests.cs
// ADD THESE TESTS:
[Fact]
public void Calc_IsNew_AcceptsParameter()
{
var bop = new Bop();
var bar1 = new TBar(DateTime.UtcNow, 10, 20, 5, 15, 100);
var bar2 = new TBar(DateTime.UtcNow, 15, 25, 10, 20, 100);
bop.Update(bar1, isNew: true);
var val1 = bop.Last.Value;
bop.Update(bar2, isNew: true);
var val2 = bop.Last.Value;
Assert.NotEqual(val1, val2);
}
[Fact]
public void Calc_IsNew_False_UpdatesValue()
{
var bop = new Bop();
var bar1 = new TBar(DateTime.UtcNow, 10, 20, 5, 15, 100);
var bar2 = new TBar(DateTime.UtcNow, 10, 25, 5, 20, 100);
var val1 = bop.Update(bar1, isNew: true);
var val2 = bop.Update(bar2, isNew: false);
Assert.Equal(val1.Time, val2.Time);
Assert.NotEqual(val1.Value, val2.Value);
}
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var bop = new Bop();
var bar = new TBar(DateTime.UtcNow, 10, 20, 5, 15, 100);
var originalValue = bop.Update(bar, isNew: true);
for (int i = 0; i < 5; i++)
{
var modified = new TBar(bar.Time, bar.Open, bar.High + i, bar.Low, bar.Close, bar.Volume);
bop.Update(modified, isNew: false);
}
var restored = bop.Update(bar, isNew: false);
Assert.Equal(originalValue.Value, restored.Value, 1e-9);
}
[Fact]
public void Reset_ClearsState()
{
var bop = new Bop();
var bar = new TBar(DateTime.UtcNow, 10, 20, 5, 15, 100);
bop.Update(bar);
bop.Reset();
Assert.Equal(0, bop.Last.Value);
}
[Fact]
public void IsHot_BecomesTrueWhenBufferFull()
{
var bop = new Bop();
Assert.False(bop.IsHot);
var bar = new TBar(DateTime.UtcNow, 10, 20, 5, 15, 100);
bop.Update(bar);
Assert.True(bop.IsHot); // BOP is hot immediately (no warmup needed)
}
[Fact]
public void NaN_Input_UsesLastValidValue()
{
var bop = new Bop();
var bar1 = new TBar(DateTime.UtcNow, 10, 20, 5, 15, 100);
var barNaN = new TBar(DateTime.UtcNow, double.NaN, 20, 5, 15, 100);
bop.Update(bar1);
var result = bop.Update(barNaN);
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var bop = new Bop();
var bar1 = new TBar(DateTime.UtcNow, 10, 20, 5, 15, 100);
var barInf = new TBar(DateTime.UtcNow, double.PositiveInfinity, 20, 5, 15, 100);
bop.Update(bar1);
var result = bop.Update(barInf);
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void AllModes_ProduceSameResult()
{
var gbm = new GBM(seed: 123);
var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 1. Batch Mode
var batchResult = Bop.Batch(bars);
double expected = batchResult.Last.Value;
// 2. Span Mode
var spanOutput = new double[bars.Count];
Bop.Calculate(bars.Open.Values, bars.High.Values, bars.Low.Values, bars.Close.Values, spanOutput);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
var streamBop = new Bop();
for (int i = 0; i < bars.Count; i++)
streamBop.Update(bars[i]);
double streamResult = streamBop.Last.Value;
Assert.Equal(expected, spanResult, 9);
Assert.Equal(expected, streamResult, 9);
}
[Fact]
public void SpanBatch_ValidatesInput()
{
double[] open = [1, 2, 3];
double[] high = [2, 3, 4];
double[] low = [0, 1, 2];
double[] close = [1.5, 2.5, 3.5];
double[] output = new double[3];
double[] wrongSize = new double[2];
Assert.Throws<ArgumentException>(() => Bop.Calculate(open, high, low, close, wrongSize));
}
Phase 2: Medium Deficiencies (DMX, CFB)
2.1 DMX - Add 7 Tests
File: lib/momentum/dmx/Dmx.Tests.cs
// ADD THESE TESTS:
[Fact]
public void Constructor_InvalidParameters_ThrowsArgumentException()
{
Assert.Throws<ArgumentException>(() => new Dmx(0));
Assert.Throws<ArgumentException>(() => new Dmx(-1));
}
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var dmx = new Dmx(14);
var gbm = new GBM();
var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 50; i++)
dmx.Update(bars[i]);
var originalValue = dmx.Last;
for (int m = 0; m < 5; m++)
{
var modified = new TBar(bars[49].Time, bars[49].Open, bars[49].High + m, bars[49].Low - m, bars[49].Close, bars[49].Volume);
dmx.Update(modified, isNew: false);
}
var restored = dmx.Update(bars[49], isNew: false);
Assert.Equal(originalValue.Value, restored.Value, 1e-9);
}
[Fact]
public void IsHot_BecomesTrueWhenBufferFull()
{
var dmx = new Dmx(14);
var gbm = new GBM();
var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
Assert.False(dmx.IsHot);
for (int i = 0; i < bars.Count; i++)
{
dmx.Update(bars[i]);
if (dmx.IsHot) break;
}
Assert.True(dmx.IsHot);
}
[Fact]
public void NaN_Input_UsesLastValidValue()
{
var dmx = new Dmx(14);
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 30; i++)
dmx.Update(bars[i]);
var nanBar = new TBar(DateTime.UtcNow, double.NaN, double.NaN, double.NaN, double.NaN, 100);
var result = dmx.Update(nanBar);
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var dmx = new Dmx(14);
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 30; i++)
dmx.Update(bars[i]);
var infBar = new TBar(DateTime.UtcNow, double.PositiveInfinity, double.PositiveInfinity, 0, 100, 100);
var result = dmx.Update(infBar);
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void AllModes_ProduceSameResult()
{
var gbm = new GBM(seed: 123);
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 1. Batch Mode
var batchResult = Dmx.Batch(bars, 14);
double expected = batchResult.Last.Value;
// 2. Streaming Mode
var streamDmx = new Dmx(14);
for (int i = 0; i < bars.Count; i++)
streamDmx.Update(bars[i]);
double streamResult = streamDmx.Last.Value;
Assert.Equal(expected, streamResult, 9);
}
[Fact]
public void SpanBatch_ValidatesInput()
{
// Add if DMX has span API
}
2.2 CFB - Add 5 Tests
File: lib/momentum/cfb/Cfb.Tests.cs
// ADD THESE TESTS:
[Fact]
public void Constructor_InvalidParameters_ThrowsArgumentException()
{
Assert.Throws<ArgumentException>(() => new Cfb(Array.Empty<int>()));
Assert.Throws<ArgumentException>(() => new Cfb(new[] { 0, 10 }));
Assert.Throws<ArgumentException>(() => new Cfb(new[] { -1, 10 }));
}
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var cfb = new Cfb();
var gbm = new GBM();
var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 50; i++)
cfb.Update(new TValue(bars.Close.Times[i], bars.Close.Values[i]));
var originalValue = cfb.Last;
for (int m = 0; m < 5; m++)
{
var modified = new TValue(bars.Close.Times[49], bars.Close.Values[49] + m);
cfb.Update(modified, isNew: false);
}
var restored = cfb.Update(new TValue(bars.Close.Times[49], bars.Close.Values[49]), isNew: false);
Assert.Equal(originalValue.Value, restored.Value, 1e-9);
}
[Fact]
public void IsHot_BecomesTrueWhenBufferFull()
{
var cfb = new Cfb(new[] { 5, 10 });
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < bars.Count; i++)
{
cfb.Update(new TValue(bars.Close.Times[i], bars.Close.Values[i]));
if (cfb.IsHot) break;
}
Assert.True(cfb.IsHot);
}
[Fact]
public void NaN_Input_UsesLastValidValue()
{
var cfb = new Cfb();
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 30; i++)
cfb.Update(new TValue(bars.Close.Times[i], bars.Close.Values[i]));
var result = cfb.Update(new TValue(DateTime.UtcNow, double.NaN));
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var cfb = new Cfb();
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 30; i++)
cfb.Update(new TValue(bars.Close.Times[i], bars.Close.Values[i]));
var result = cfb.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void AllModes_ProduceSameResult()
{
var gbm = new GBM(seed: 123);
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 1. Batch Mode
var batchResult = Cfb.Batch(bars.Close);
double expected = batchResult.Last.Value;
// 2. Span Mode
var spanOutput = new double[bars.Count];
Cfb.Batch(bars.Close.Values.ToArray(), spanOutput);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
var streamCfb = new Cfb();
for (int i = 0; i < bars.Count; i++)
streamCfb.Update(new TValue(bars.Close.Times[i], bars.Close.Values[i]));
double streamResult = streamCfb.Last.Value;
Assert.Equal(expected, spanResult, 9);
Assert.Equal(expected, streamResult, 9);
}
Phase 3: Standard Deficiencies (ADX, ADXR, AO, APO, Aroon, AroonOsc)
These 6 indicators all have the same pattern of missing tests. Create a template:
Template for TBar-based Indicators (ADX, ADXR, AO, Aroon, AroonOsc)
// ADD THESE 6 TESTS TO EACH:
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var indicator = new [IndicatorName](period);
var gbm = new GBM();
var bars = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 50; i++)
indicator.Update(bars[i]);
var originalValue = indicator.Last;
for (int m = 0; m < 5; m++)
{
var modified = new TBar(bars[49].Time, bars[49].Open, bars[49].High + m, bars[49].Low - m, bars[49].Close, bars[49].Volume);
indicator.Update(modified, isNew: false);
}
var restored = indicator.Update(bars[49], isNew: false);
Assert.Equal(originalValue.Value, restored.Value, 1e-9);
}
[Fact]
public void IsHot_BecomesTrueWhenBufferFull()
{
var indicator = new [IndicatorName](period);
var gbm = new GBM();
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
Assert.False(indicator.IsHot);
for (int i = 0; i < bars.Count; i++)
{
indicator.Update(bars[i]);
if (indicator.IsHot) break;
}
Assert.True(indicator.IsHot);
}
[Fact]
public void NaN_Input_UsesLastValidValue()
{
var indicator = new [IndicatorName](period);
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 40; i++)
indicator.Update(bars[i]);
var nanBar = new TBar(DateTime.UtcNow, double.NaN, double.NaN, double.NaN, double.NaN, 100);
var result = indicator.Update(nanBar);
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var indicator = new [IndicatorName](period);
var gbm = new GBM();
var bars = gbm.Fetch(50, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 40; i++)
indicator.Update(bars[i]);
var infBar = new TBar(DateTime.UtcNow, double.PositiveInfinity, double.PositiveInfinity, 0, 100, 100);
var result = indicator.Update(infBar);
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void AllModes_ProduceSameResult()
{
var gbm = new GBM(seed: 123);
var bars = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 1. Batch Mode
var batchResult = [IndicatorName].Batch(bars, period);
double expected = batchResult.Last.Value;
// 2. Streaming Mode
var streamIndicator = new [IndicatorName](period);
for (int i = 0; i < bars.Count; i++)
streamIndicator.Update(bars[i]);
double streamResult = streamIndicator.Last.Value;
Assert.Equal(expected, streamResult, 9);
}
[Fact]
public void SpanBatch_ValidatesInput()
{
// Implement if indicator has Span API
}
Template for TValue-based Indicator (APO)
Similar pattern but uses series.Close[i] instead of bars[i].
Phase 4: Minor Deficiencies (RSX, VEL)
4.1 RSX - Add 4 Tests
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var rsx = new Rsx(14);
var gbm = new GBM();
var series = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 50; i++)
rsx.Update(new TValue(series.Close.Times[i], series.Close.Values[i]));
var originalValue = rsx.Last;
for (int m = 0; m < 5; m++)
{
var modified = new TValue(series.Close.Times[49], series.Close.Values[49] + m);
rsx.Update(modified, isNew: false);
}
var restored = rsx.Update(new TValue(series.Close.Times[49], series.Close.Values[49]), isNew: false);
Assert.Equal(originalValue.Value, restored.Value, 1e-9);
}
[Fact]
public void IsHot_BecomesTrueWhenBufferFull()
{
var rsx = new Rsx(14);
var gbm = new GBM();
var series = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
Assert.False(rsx.IsHot);
for (int i = 0; i < series.Count; i++)
{
rsx.Update(new TValue(series.Close.Times[i], series.Close.Values[i]));
if (rsx.IsHot) break;
}
Assert.True(rsx.IsHot);
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var rsx = new Rsx(14);
rsx.Update(new TValue(DateTime.UtcNow, 100));
var result = rsx.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
Assert.False(double.IsInfinity(result.Value));
Assert.InRange(result.Value, 0, 100);
}
[Fact]
public void AllModes_ProduceSameResult()
{
int period = 14;
var gbm = new GBM(seed: 123);
var series = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 1. Batch Mode
var batchResult = Rsx.Batch(series.Close, period);
double expected = batchResult.Last.Value;
// 2. Span Mode
var spanOutput = new double[series.Count];
Rsx.Batch(series.Close.Values.ToArray(), spanOutput, period);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
var streamRsx = new Rsx(period);
for (int i = 0; i < series.Count; i++)
streamRsx.Update(new TValue(series.Close.Times[i], series.Close.Values[i]));
double streamResult = streamRsx.Last.Value;
// 4. Eventing Mode
var pubSource = new TSeries();
var eventRsx = new Rsx(pubSource, period);
for (int i = 0; i < series.Count; i++)
pubSource.Add(new TValue(series.Close.Times[i], series.Close.Values[i]));
double eventResult = eventRsx.Last.Value;
Assert.Equal(expected, spanResult, 9);
Assert.Equal(expected, streamResult, 9);
Assert.Equal(expected, eventResult, 9);
}
4.2 VEL - Add 4 Tests
[Fact]
public void IterativeCorrections_RestoreToOriginalState()
{
var vel = new Vel(10);
var gbm = new GBM();
var series = gbm.Fetch(100, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 50; i++)
vel.Update(series.Close[i]);
var originalValue = vel.Last;
for (int m = 0; m < 5; m++)
{
var modified = new TValue(series.Close[49].Time, series.Close[49].Value + m);
vel.Update(modified, isNew: false);
}
var restored = vel.Update(series.Close[49], isNew: false);
Assert.Equal(originalValue.Value, restored.Value, 1e-9);
}
[Fact]
public void NaN_Input_UsesLastValidValue()
{
var vel = new Vel(10);
var gbm = new GBM();
var series = gbm.Fetch(20, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 15; i++)
vel.Update(series.Close[i]);
var result = vel.Update(new TValue(DateTime.UtcNow, double.NaN));
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void Infinity_Input_UsesLastValidValue()
{
var vel = new Vel(10);
var gbm = new GBM();
var series = gbm.Fetch(20, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
for (int i = 0; i < 15; i++)
vel.Update(series.Close[i]);
var result = vel.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
Assert.True(double.IsFinite(result.Value));
}
[Fact]
public void AllModes_ProduceSameResult()
{
int period = 10;
var gbm = new GBM(seed: 123);
var series = gbm.Fetch(200, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 1. Batch Mode
var batchResult = Vel.Batch(series.Close, period);
double expected = batchResult.Last.Value;
// 2. Span Mode
var spanOutput = new double[series.Count];
Vel.Batch(series.Close.Values.ToArray().AsSpan(), spanOutput.AsSpan(), period);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
var streamVel = new Vel(period);
for (int i = 0; i < series.Count; i++)
streamVel.Update(series.Close[i]);
double streamResult = streamVel.Last.Value;
// 4. Eventing Mode
var pubSource = new TSeries();
var eventVel = new Vel(pubSource, period);
for (int i = 0; i < series.Count; i++)
pubSource.Add(series.Close[i]);
double eventResult = eventVel.Last.Value;
Assert.Equal(expected, spanResult, 9);
Assert.Equal(expected, streamResult, 9);
Assert.Equal(expected, eventResult, 9);
}
[Fact]
public void SpanBatch_ValidatesInput()
{
double[] source = [1, 2, 3, 4, 5];
double[] output = new double[5];
double[] wrongSize = new double[3];
Assert.Throws<ArgumentException>(() => Vel.Batch(source.AsSpan(), wrongSize.AsSpan(), 3));
Assert.Throws<ArgumentException>(() => Vel.Batch(source.AsSpan(), output.AsSpan(), 0));
Assert.Throws<ArgumentException>(() => Vel.Batch(source.AsSpan(), output.AsSpan(), -1));
}
Implementation Checklist
Phase 1 (Priority: Critical)
- MACD.Tests.cs - Add 10 tests
- BOP.Tests.cs - Add 9 tests
Phase 2 (Priority: High)
- DMX.Tests.cs - Add 7 tests
- CFB.Tests.cs - Add 5 tests
Phase 3 (Priority: Medium)
- ADX.Tests.cs - Add 6 tests
- ADXR.Tests.cs - Add 6 tests
- AO.Tests.cs - Add 6 tests
- APO.Tests.cs - Add 6 tests
- Aroon.Tests.cs - Add 6 tests
- AroonOsc.Tests.cs - Add 6 tests
Phase 4 (Priority: Low)
- RSX.Tests.cs - Add 4 tests
- VEL.Tests.cs - Add 4 tests
Verification Steps
After implementing all tests:
- Run all tests:
dotnet test lib/QuanTAlib.Tests.csproj - Verify no regressions in existing tests
- Check test coverage meets targets
- Update docs/validation.md with compliance status