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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

323 lines
11 KiB
C#

using System;
using QuanTAlib;
using Xunit;
namespace QuanTAlib.Tests;
public class FcbTests
{
[Fact]
public void Fcb_Constructor_ValidatesInput()
{
Assert.Throws<ArgumentOutOfRangeException>(() => new Fcb(0));
Assert.Throws<ArgumentOutOfRangeException>(() => new Fcb(-5));
var f = new Fcb(10);
Assert.Equal(12, f.WarmupPeriod); // period + 2 for fractal detection
Assert.Contains("Fcb", f.Name, StringComparison.OrdinalIgnoreCase);
}
[Fact]
public void Fcb_InitialState_Defaults()
{
var f = new Fcb(5);
Assert.Equal(0, f.Last.Value);
Assert.Equal(0, f.Upper.Value);
Assert.Equal(0, f.Lower.Value);
Assert.False(f.IsHot);
}
[Fact]
public void Fcb_DetectsFractalHigh()
{
// Fractal high: high[1] > high[2] AND high[1] > high[0]
// Create pattern: 100, 120, 110 (index 1 is fractal high = 120)
var f = new Fcb(5);
f.Update(new TBar(DateTime.UtcNow, 95, 100, 90, 95, 1000)); // High = 100
f.Update(new TBar(DateTime.UtcNow, 115, 120, 110, 115, 1000)); // High = 120 (will be fractal)
f.Update(new TBar(DateTime.UtcNow, 105, 110, 100, 105, 1000)); // High = 110 < 120
// After 3 bars, fractal high at index 1 detected when we get index 2
// Upper should track the highest fractal high = 120
Assert.Equal(120.0, f.Upper.Value, 1e-10);
}
[Fact]
public void Fcb_DetectsFractalLow()
{
// Fractal low: low[1] < low[2] AND low[1] < low[0]
// Create pattern: 100, 80, 90 (index 1 is fractal low = 80)
var f = new Fcb(5);
f.Update(new TBar(DateTime.UtcNow, 105, 110, 100, 105, 1000)); // Low = 100
f.Update(new TBar(DateTime.UtcNow, 85, 90, 80, 85, 1000)); // Low = 80 (will be fractal)
f.Update(new TBar(DateTime.UtcNow, 95, 100, 90, 95, 1000)); // Low = 90 > 80
// After 3 bars, fractal low at index 1 detected when we get index 2
// Lower should track the lowest fractal low = 80
Assert.Equal(80.0, f.Lower.Value, 1e-10);
}
[Fact]
public void Fcb_NoFractalUsesPreviousValue()
{
// If no fractal is detected, bands should use previous fractal values
var f = new Fcb(5);
// Create fractal high then no new fractals
f.Update(new TBar(DateTime.UtcNow, 100, 105, 95, 100, 1000));
f.Update(new TBar(DateTime.UtcNow, 110, 115, 105, 110, 1000)); // Will be fractal high
f.Update(new TBar(DateTime.UtcNow, 105, 110, 100, 105, 1000)); // Confirms fractal at 115
_ = f.Upper.Value; // Store for comparison
// Add more bars that don't create new fractals (monotonic up)
f.Update(new TBar(DateTime.UtcNow, 112, 117, 107, 112, 1000));
f.Update(new TBar(DateTime.UtcNow, 120, 125, 115, 120, 1000));
// Upper should still be finite as previous fractal value is tracked via deque
Assert.True(double.IsFinite(f.Upper.Value));
}
[Fact]
public void Fcb_SlidingWindow_Updates()
{
var f = new Fcb(3);
// Create initial fractals
f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
f.Update(new TBar(DateTime.UtcNow, 110, 120, 100, 110, 1000)); // Fractal high at 120
f.Update(new TBar(DateTime.UtcNow, 105, 115, 95, 105, 1000));
// Add more bars - window should slide
for (int i = 0; i < 5; i++)
{
f.Update(new TBar(DateTime.UtcNow, 90 - i, 95 - i, 85 - i, 90 - i, 1000));
}
// Upper may have changed as old fractals slide out
Assert.NotEqual(0, f.Upper.Value);
Assert.NotEqual(0, f.Lower.Value);
}
[Fact]
public void Fcb_IsHot_TurnsTrueAfterWarmup()
{
var f = new Fcb(4);
// WarmupPeriod = 4 + 2 = 6
for (int i = 0; i < 5; i++)
{
f.Update(new TBar(DateTime.UtcNow, 100 + i, 101 + i, 99 + i, 100 + i, 1000));
Assert.False(f.IsHot);
}
f.Update(new TBar(DateTime.UtcNow, 200, 201, 199, 200, 1000));
Assert.True(f.IsHot);
}
[Fact]
public void Fcb_IsNewFalse_RebuildsState()
{
var f = new Fcb(3);
var gbm = new GBM(startPrice: 100, mu: 0.01, sigma: 0.1, seed: 7);
TBar remembered = default;
for (int i = 0; i < 10; i++)
{
remembered = gbm.Next(isNew: true);
f.Update(remembered, isNew: true);
}
double mid = f.Last.Value;
double up = f.Upper.Value;
double lo = f.Lower.Value;
// Apply corrections
for (int i = 0; i < 3; i++)
{
var corrected = gbm.Next(isNew: false);
f.Update(corrected, isNew: false);
}
// Restore with remembered bar
f.Update(remembered, isNew: false);
Assert.Equal(mid, f.Last.Value, 1e-10);
Assert.Equal(up, f.Upper.Value, 1e-10);
Assert.Equal(lo, f.Lower.Value, 1e-10);
}
[Fact]
public void Fcb_NaN_UsesLastValid()
{
var f = new Fcb(3);
f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 105, 1000));
f.Update(new TBar(DateTime.UtcNow, 101, 111, 91, 106, 1000));
var result = f.Update(new TBar(DateTime.UtcNow, 102, double.NaN, 92, 107, 1000));
Assert.True(double.IsFinite(result.Value));
Assert.True(double.IsFinite(f.Upper.Value));
Assert.True(double.IsFinite(f.Lower.Value));
var result2 = f.Update(new TBar(DateTime.UtcNow, 103, 113, double.PositiveInfinity, 108, 1000));
Assert.True(double.IsFinite(result2.Value));
}
[Fact]
public void Fcb_Reset_Clears()
{
var f = new Fcb(3);
f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
f.Update(new TBar(DateTime.UtcNow, 101, 111, 91, 101, 1000));
f.Update(new TBar(DateTime.UtcNow, 102, 112, 92, 102, 1000));
f.Reset();
Assert.Equal(0, f.Last.Value);
Assert.Equal(0, f.Upper.Value);
Assert.Equal(0, f.Lower.Value);
Assert.False(f.IsHot);
f.Update(new TBar(DateTime.UtcNow, 50, 60, 40, 55, 1000));
Assert.NotEqual(0, f.Last.Value);
}
[Fact]
public void Fcb_BatchVsStreaming_Match()
{
var fStream = new Fcb(10);
var gbm = new GBM(startPrice: 100, mu: 0.02, sigma: 0.15, seed: 42);
var series = new TBarSeries();
for (int i = 0; i < 200; i++)
{
var bar = gbm.Next(isNew: true);
series.Add(bar);
fStream.Update(bar, isNew: true);
}
double expectedMid = fStream.Last.Value;
double expectedUp = fStream.Upper.Value;
double expectedLo = fStream.Lower.Value;
var (midBatch, upBatch, loBatch) = Fcb.Batch(series, 10);
Assert.Equal(expectedMid, midBatch.Last.Value, 1e-10);
Assert.Equal(expectedUp, upBatch.Last.Value, 1e-10);
Assert.Equal(expectedLo, loBatch.Last.Value, 1e-10);
}
[Fact]
public void Fcb_SpanBatch_Validates()
{
double[] high = [110, 115, 120];
double[] low = [90, 95, 100];
double[] middle = new double[3];
double[] upper = new double[3];
double[] lower = new double[3];
double[] highShort = [110, 115];
double[] smallOut = new double[1];
Assert.Throws<ArgumentOutOfRangeException>(() => Fcb.Batch(high.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 0));
Assert.Throws<ArgumentOutOfRangeException>(() => Fcb.Batch(high.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), -1));
Assert.Throws<ArgumentException>(() => Fcb.Batch(highShort.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 2));
Assert.Throws<ArgumentException>(() => Fcb.Batch(high.AsSpan(), low.AsSpan(), smallOut.AsSpan(), upper.AsSpan(), lower.AsSpan(), 2));
}
[Fact]
public void Fcb_SpanBatch_ComputesCorrectly()
{
// Create data with clear fractal patterns
// Fractal high at index 1: 100, 120, 110
// Fractal low at index 1: 90, 70, 80
double[] high = [100, 120, 110, 115, 105];
double[] low = [90, 70, 80, 75, 85];
double[] middle = new double[5];
double[] upper = new double[5];
double[] lower = new double[5];
Fcb.Batch(high.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 3);
// At index 2, we detect fractal high=120, fractal low=70
// Upper=120, Lower=70, Middle=95
Assert.Equal(120.0, upper[2], 1e-10);
Assert.Equal(70.0, lower[2], 1e-10);
Assert.Equal(95.0, middle[2], 1e-10);
}
[Fact]
public void Fcb_Calculate_ReturnsIndicatorAndResults()
{
var series = new TBarSeries();
series.Add(DateTime.UtcNow, 100, 110, 90, 100, 1000);
series.Add(DateTime.UtcNow, 105, 120, 80, 105, 1000); // Potential fractal high at 120, low at 80
series.Add(DateTime.UtcNow, 102, 115, 85, 102, 1000); // Confirms fractals
var ((mid, up, lo), ind) = Fcb.Calculate(series, 2);
// After 3 bars: fractal high = 120, fractal low = 80
Assert.Equal(120.0, up.Last.Value, 1e-10);
Assert.Equal(80.0, lo.Last.Value, 1e-10);
Assert.Equal(100.0, mid.Last.Value, 1e-10);
// Continue streaming
ind.Update(new TBar(DateTime.UtcNow, 108, 130, 75, 108, 1000)); // Potential new fractals
ind.Update(new TBar(DateTime.UtcNow, 106, 125, 78, 106, 1000)); // Confirms fractal high=130, low=75
Assert.Equal(130.0, ind.Upper.Value, 1e-10);
Assert.Equal(75.0, ind.Lower.Value, 1e-10);
}
[Fact]
public void Fcb_Event_Publishes()
{
var src = new TBarSeries();
var f = new Fcb(src, 2);
bool fired = false;
f.Pub += (object? sender, in TValueEventArgs args) => fired = true;
src.Add(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
Assert.True(fired);
}
[Fact]
public void Fcb_MiddleValue_IsAverage()
{
var f = new Fcb(3);
// Create clear fractals
f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
f.Update(new TBar(DateTime.UtcNow, 110, 130, 70, 110, 1000)); // Fractal high=130, low=70
f.Update(new TBar(DateTime.UtcNow, 105, 120, 80, 105, 1000)); // Confirms fractals
double expectedMiddle = (f.Upper.Value + f.Lower.Value) * 0.5;
Assert.Equal(expectedMiddle, f.Last.Value, 1e-10);
}
[Fact]
public void Fcb_MultipleFractals_TracksHighestLowest()
{
var f = new Fcb(10);
// Create multiple fractals over time
double[] highs = [100, 120, 110, 115, 140, 130, 125, 150, 145, 142, 148, 155, 150];
double[] lows = [90, 70, 80, 75, 60, 65, 68, 50, 55, 58, 52, 45, 48];
for (int i = 0; i < highs.Length; i++)
{
f.Update(new TBar(DateTime.UtcNow, (highs[i] + lows[i]) / 2, highs[i], lows[i], (highs[i] + lows[i]) / 2, 1000));
}
// Upper should be highest fractal high in window
// Lower should be lowest fractal low in window
Assert.True(f.Upper.Value > 0);
Assert.True(f.Lower.Value > 0);
Assert.True(f.Upper.Value > f.Lower.Value);
}
}