Files
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

161 lines
4.5 KiB
C#

using System;
using System.Collections.Generic;
namespace QuanTAlib.Tests;
public class FramaTests
{
[Fact]
public void Frama_Constructor_ValidatesInput()
{
Assert.Throws<ArgumentOutOfRangeException>(() => new Frama(1));
Assert.Throws<ArgumentOutOfRangeException>(() => new Frama(0));
Assert.Throws<ArgumentOutOfRangeException>(() => new Frama(-5));
}
[Fact]
public void Frama_BasicCalculation_ReturnsFinite()
{
var frama = new Frama(16);
var series = BuildSeries(40, seed: 42);
TValue result = default;
for (int i = 0; i < series.Count; i++)
{
result = frama.Update(series[i], isNew: true);
}
Assert.True(double.IsFinite(result.Value));
Assert.True(frama.IsHot);
}
[Fact]
public void Frama_IsNewFalse_RestoresState()
{
var frama = new Frama(16);
var series = BuildSeries(20, seed: 7);
TBar lastBar = default;
for (int i = 0; i < 10; i++)
{
lastBar = series[i];
frama.Update(lastBar, isNew: true);
}
double original = frama.Last.Value;
var corrected = new TBar(lastBar.Time, lastBar.Open, lastBar.High * 1.05, lastBar.Low * 0.95, lastBar.Close, lastBar.Volume);
frama.Update(corrected, isNew: false);
frama.Update(lastBar, isNew: false);
Assert.Equal(original, frama.Last.Value, precision: 10);
}
[Fact]
public void Frama_NaNFirstBar_RecoversOnValidInput()
{
var frama = new Frama(10);
int warmup = frama.WarmupPeriod;
var nanBar = new TBar(DateTime.UtcNow.Ticks, 1, double.NaN, 1, 1, 0);
TValue first = frama.Update(nanBar, isNew: true);
Assert.True(double.IsNaN(first.Value));
DateTime start = DateTime.UtcNow.AddMinutes(1);
TValue next = default;
for (int i = 0; i < warmup; i++)
{
var valid = new TBar(start.AddMinutes(i).Ticks, 100, 110, 90, 105, 1000);
next = frama.Update(valid, isNew: true);
}
Assert.True(double.IsFinite(next.Value));
Assert.True(frama.IsHot);
}
[Fact]
public void Frama_BatchMatchesStreaming()
{
int period = 20;
var series = BuildSeries(80, seed: 11);
TSeries batch = FramaBatch(series, period);
var frama = new Frama(period);
var streamValues = new List<double>(series.Count);
for (int i = 0; i < series.Count; i++)
{
streamValues.Add(frama.Update(series[i]).Value);
}
for (int i = 0; i < series.Count; i++)
{
Assert.Equal(batch[i].Value, streamValues[i], precision: 10);
}
}
[Fact]
public void Frama_SpanMatchesBatch()
{
int period = 18;
var series = BuildSeries(60, seed: 21);
double[] output = new double[series.Count];
Frama.Batch(series.High.Values, series.Low.Values, period, output);
TSeries batch = FramaBatch(series, period);
for (int i = 0; i < series.Count; i++)
{
Assert.Equal(batch[i].Value, output[i], precision: 10);
}
}
[Fact]
public void Frama_Eventing_WorksWithTSeries()
{
int period = 12;
var source = new TSeries();
var frama = new Frama(source, period);
int count = 0;
frama.Pub += (object? sender, in TValueEventArgs args) => count++;
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: 31);
for (int i = 0; i < 25; i++)
{
var bar = gbm.Next(isNew: true);
source.Add(bar.Time, bar.Close);
}
Assert.Equal(25, count);
}
[Fact]
public void Frama_WarmupPeriod_TransitionsIsHot()
{
var frama = new Frama(15);
int warmup = frama.WarmupPeriod;
var series = BuildSeries(warmup, seed: 100);
for (int i = 0; i < warmup - 1; i++)
{
frama.Update(series[i], isNew: true);
Assert.False(frama.IsHot);
}
frama.Update(series[warmup - 1], isNew: true);
Assert.True(frama.IsHot);
}
private static TBarSeries BuildSeries(int count, int seed)
{
var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1, seed: seed);
return gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
}
private static TSeries FramaBatch(TBarSeries series, int period)
{
return Frama.Batch(series, period);
}
}