normalization of methods

This commit is contained in:
Miha Kralj
2026-02-10 21:33:16 -08:00
parent 915d7a007b
commit 6d6259a47d
527 changed files with 10525 additions and 2123 deletions
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using TradingPlatform.BusinessLayer;
using Xunit;
namespace QuanTAlib.Tests;
public class QstickIndicatorTests
{
[Fact]
public void Constructor_CreatesValidIndicator()
{
var indicator = new QstickIndicator();
Assert.NotNull(indicator);
Assert.Equal("Qstick Indicator", indicator.Name);
}
[Fact]
public void DefaultPeriod_Is14()
{
var indicator = new QstickIndicator();
Assert.Equal(14, indicator.Period);
}
[Fact]
public void DefaultMaType_IsSMA()
{
var indicator = new QstickIndicator();
Assert.Equal("SMA", indicator.MaType);
}
[Fact]
public void ShortName_IncludesParameters()
{
var indicator = new QstickIndicator { Period = 20, MaType = "EMA" };
Assert.Equal("QSTICK(20,EMA)", indicator.ShortName);
}
[Fact]
public void MinHistoryDepths_EqualsZero()
{
var indicator = new QstickIndicator { Period = 10 };
Assert.Equal(0, QstickIndicator.MinHistoryDepths);
IWatchlistIndicator watchlistIndicator = indicator;
Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
}
[Fact]
public void CalculationIntegration_ProducesCorrectValues()
{
var qstickCore = new Qstick(3);
var time = DateTime.UtcNow;
// Simulate bar data
var bar1 = new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000);
var bar2 = new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000);
var bar3 = new TBar(time.AddMinutes(2).Ticks, 100.0, 108.0, 95.0, 106.0, 1000);
qstickCore.Update(bar1);
qstickCore.Update(bar2);
var result = qstickCore.Update(bar3);
// SMA of (5, 3, 6) = 14/3 ≈ 4.667
Assert.Equal(14.0 / 3.0, result.Value, 10);
}
[Fact]
public void EmaMode_CalculatesCorrectly()
{
var qstickCore = new Qstick(3, useEma: true);
var time = DateTime.UtcNow;
// Bar 1: diff = 5
qstickCore.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
// Bar 2: diff = -3, EMA with alpha = 0.5
var result = qstickCore.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 97.0, 1000));
// EMA = 0.5 * -3 + 0.5 * 5 = 1.0
Assert.Equal(1.0, result.Value, 10);
}
[Fact]
public void BullishBars_ProducePositiveQstick()
{
var qstick = new Qstick(5);
var time = DateTime.UtcNow;
// All bullish bars (close > open)
for (int i = 0; i < 5; i++)
{
qstick.Update(new TBar(time.AddMinutes(i).Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
}
Assert.True(qstick.Last.Value > 0);
Assert.Equal(5.0, qstick.Last.Value, 10);
}
[Fact]
public void BearishBars_ProduceNegativeQstick()
{
var qstick = new Qstick(5);
var time = DateTime.UtcNow;
// All bearish bars (close < open)
for (int i = 0; i < 5; i++)
{
qstick.Update(new TBar(time.AddMinutes(i).Ticks, 100.0, 105.0, 90.0, 95.0, 1000));
}
Assert.True(qstick.Last.Value < 0);
Assert.Equal(-5.0, qstick.Last.Value, 10);
}
[Fact]
public void DojiBars_ProduceZeroQstick()
{
var qstick = new Qstick(5);
var time = DateTime.UtcNow;
// All doji bars (close = open)
for (int i = 0; i < 5; i++)
{
qstick.Update(new TBar(time.AddMinutes(i).Ticks, 100.0, 105.0, 95.0, 100.0, 1000));
}
Assert.Equal(0.0, qstick.Last.Value, 10);
}
[Fact]
public void CoreIndicator_ResetsCorrectly()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
Assert.NotEqual(default, qstick.Last);
qstick.Reset();
Assert.False(qstick.IsHot);
Assert.Equal(default, qstick.Last);
}
}
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using System.Drawing;
using System.Runtime.CompilerServices;
using TradingPlatform.BusinessLayer;
namespace QuanTAlib;
[SkipLocalsInit]
public sealed class QstickIndicator : Indicator, IWatchlistIndicator
{
[InputParameter("Period", sortIndex: 0, 1, 1000, 1, 0)]
public int Period { get; set; } = 14;
[InputParameter("MA Type", sortIndex: 1, variants: new object[] { "SMA", "SMA", "EMA", "EMA" })]
public string MaType { get; set; } = "SMA";
[InputParameter("Show cold values", sortIndex: 21)]
public bool ShowColdValues { get; set; } = true;
public override string ShortName => $"QSTICK({Period},{MaType})";
public static int MinHistoryDepths => 0;
int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
private Qstick _indicator = null!;
private readonly LineSeries _series;
public QstickIndicator()
{
Name = "Qstick Indicator";
Description = "Measures average candlestick body direction by calculating the moving average of close minus open.";
_series = new LineSeries("Qstick", Color.Yellow, 2, LineStyle.Solid);
AddLineSeries(_series);
SeparateWindow = true;
}
protected override void OnInit()
{
bool useEma = string.Equals(MaType, "EMA", StringComparison.Ordinal);
_indicator = new Qstick(Period, useEma);
AddLineLevel(0, "Zero", Color.Gray, 1, LineStyle.Dash);
base.OnInit();
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void OnUpdate(UpdateArgs args)
{
bool isNew = args.IsNewBar();
var bar = this.GetInputBar(args);
var result = _indicator.Update(bar, isNew);
_series.SetValue(result.Value, _indicator.IsHot, ShowColdValues);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override void OnPaintChart(PaintChartEventArgs args)
{
base.OnPaintChart(args);
}
}
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using Xunit;
namespace QuanTAlib.Tests;
public class QstickTests
{
// ═══════════════════════════════════════════════════════════════════════════
// Constructor Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Constructor_DefaultParameters_CreatesValidIndicator()
{
var qstick = new Qstick();
Assert.Equal(14, qstick.Period);
Assert.False(qstick.UseEma);
Assert.Equal("QSTICK(14)", qstick.Name);
}
[Fact]
public void Constructor_CustomPeriod_SetsCorrectly()
{
var qstick = new Qstick(20);
Assert.Equal(20, qstick.Period);
}
[Fact]
public void Constructor_EmaMode_SetsCorrectly()
{
var qstick = new Qstick(14, useEma: true);
Assert.True(qstick.UseEma);
Assert.Equal("QSTICK(14,EMA)", qstick.Name);
}
[Fact]
public void Constructor_PeriodLessThanOne_ThrowsException()
{
Assert.Throws<ArgumentException>(() => new Qstick(0));
}
[Fact]
public void Constructor_NegativePeriod_ThrowsException()
{
Assert.Throws<ArgumentException>(() => new Qstick(-1));
}
[Fact]
public void Constructor_PeriodOne_IsValid()
{
var qstick = new Qstick(1);
Assert.Equal(1, qstick.Period);
}
// ═══════════════════════════════════════════════════════════════════════════
// Basic Calculation Tests - SMA Mode
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Update_SingleBullishBar_ReturnsPositiveValue()
{
var qstick = new Qstick(1);
var bar = new TBar(DateTime.UtcNow.Ticks, 100.0, 105.0, 99.0, 105.0, 1000);
var result = qstick.Update(bar);
Assert.Equal(5.0, result.Value); // close - open = 105 - 100 = 5
}
[Fact]
public void Update_SingleBearishBar_ReturnsNegativeValue()
{
var qstick = new Qstick(1);
var bar = new TBar(DateTime.UtcNow.Ticks, 105.0, 105.0, 99.0, 100.0, 1000);
var result = qstick.Update(bar);
Assert.Equal(-5.0, result.Value); // close - open = 100 - 105 = -5
}
[Fact]
public void Update_DojiBar_ReturnsZero()
{
var qstick = new Qstick(1);
var bar = new TBar(DateTime.UtcNow.Ticks, 100.0, 105.0, 99.0, 100.0, 1000);
var result = qstick.Update(bar);
Assert.Equal(0.0, result.Value); // close - open = 100 - 100 = 0
}
[Fact]
public void Update_ThreeBars_CalculatesCorrectSMA()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
// Bar 1: +5 (bullish)
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
// Bar 2: -3 (bearish)
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 97.0, 1000));
// Bar 3: +2 (bullish)
var result = qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 105.0, 95.0, 102.0, 1000));
// SMA = (5 + -3 + 2) / 3 = 4/3 ≈ 1.333
Assert.Equal(4.0 / 3.0, result.Value, 10);
Assert.True(qstick.IsHot);
}
[Fact]
public void Update_NotWarmUp_ReturnsPartialAverage()
{
var qstick = new Qstick(5);
var time = DateTime.UtcNow;
// Bar 1: +5
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
// Bar 2: +3
var result = qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
// Partial average = (5 + 3) / 2 = 4
Assert.Equal(4.0, result.Value, 10);
Assert.False(qstick.IsHot);
}
// ═══════════════════════════════════════════════════════════════════════════
// Basic Calculation Tests - EMA Mode
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Update_EmaMode_FirstBar_ReturnsDiff()
{
var qstick = new Qstick(14, useEma: true);
var bar = new TBar(DateTime.UtcNow.Ticks, 100.0, 105.0, 99.0, 105.0, 1000);
var result = qstick.Update(bar);
Assert.Equal(5.0, result.Value);
}
[Fact]
public void Update_EmaMode_MultipleBar_CalculatesEma()
{
var qstick = new Qstick(3, useEma: true); // alpha = 2/(3+1) = 0.5
var time = DateTime.UtcNow;
// Bar 1: diff = 5
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
// Bar 2: diff = -3, EMA = 0.5 * -3 + 0.5 * 5 = 1.0
var result = qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 97.0, 1000));
Assert.Equal(1.0, result.Value, 10);
}
[Fact]
public void Update_EmaMode_IsHotFromFirstBar()
{
var qstick = new Qstick(14, useEma: true);
var bar = new TBar(DateTime.UtcNow.Ticks, 100.0, 105.0, 99.0, 105.0, 1000);
qstick.Update(bar);
Assert.True(qstick.IsHot);
}
// ═══════════════════════════════════════════════════════════════════════════
// Bar Correction Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Update_IsNewFalse_CorrectsPreviousBar()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
// Bar 1
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
// Bar 2
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
// Bar 3 initial
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 105.0, 95.0, 102.0, 1000));
// Bar 3 correction (close changes from 102 to 108)
var result = qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 110.0, 95.0, 108.0, 1000), isNew: false);
// SMA = (5 + 3 + 8) / 3 = 16/3 ≈ 5.333
Assert.Equal(16.0 / 3.0, result.Value, 10);
}
[Fact]
public void Update_MultipleCorrections_ProducesSameResult()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 105.0, 95.0, 102.0, 1000));
// Multiple corrections to same bar should be idempotent
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 110.0, 95.0, 107.0, 1000), isNew: false);
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 110.0, 95.0, 107.0, 1000), isNew: false);
var result = qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 110.0, 95.0, 107.0, 1000), isNew: false);
// SMA = (5 + 3 + 7) / 3 = 15/3 = 5
Assert.Equal(5.0, result.Value, 10);
}
[Fact]
public void Update_EmaMode_BarCorrection_Works()
{
var qstick = new Qstick(3, useEma: true); // alpha = 0.5
var time = DateTime.UtcNow;
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000)); // diff=5, ema=5
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000)); // diff=3, ema=0.5*3+0.5*5=4
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 105.0, 95.0, 102.0, 1000)); // diff=2, ema=0.5*2+0.5*4=3
// Correct bar 3: diff changes from 2 to 8
var result = qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 110.0, 95.0, 108.0, 1000), isNew: false);
// ema = 0.5*8 + 0.5*4 = 6
Assert.Equal(6.0, result.Value, 10);
}
// ═══════════════════════════════════════════════════════════════════════════
// Edge Case Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Update_NaNOpen_ReturnsLastValue()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
var bar1 = new TBar(time.Ticks, 100.0, 105.0, 99.0, 105.0, 1000);
var result1 = qstick.Update(bar1);
var bar2 = new TBar(time.AddMinutes(1).Ticks, double.NaN, 105.0, 99.0, 105.0, 1000);
var result2 = qstick.Update(bar2);
Assert.Equal(result1.Value, result2.Value);
}
[Fact]
public void Update_NaNClose_ReturnsLastValue()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
var bar1 = new TBar(time.Ticks, 100.0, 105.0, 99.0, 105.0, 1000);
var result1 = qstick.Update(bar1);
var bar2 = new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 99.0, double.NaN, 1000);
var result2 = qstick.Update(bar2);
Assert.Equal(result1.Value, result2.Value);
}
[Fact]
public void Update_InfinityInput_ReturnsLastValue()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
var bar1 = new TBar(time.Ticks, 100.0, 105.0, 99.0, 105.0, 1000);
var result1 = qstick.Update(bar1);
var bar2 = new TBar(time.AddMinutes(1).Ticks, double.PositiveInfinity, 105.0, 99.0, 105.0, 1000);
var result2 = qstick.Update(bar2);
Assert.Equal(result1.Value, result2.Value);
}
[Fact]
public void Update_LargeValues_CalculatesCorrectly()
{
var qstick = new Qstick(1);
var bar = new TBar(DateTime.UtcNow.Ticks, 1e10, 1.1e10, 0.9e10, 1.05e10, 1000);
var result = qstick.Update(bar);
Assert.Equal(0.05e10, result.Value, 1);
}
[Fact]
public void Update_SmallValues_CalculatesCorrectly()
{
var qstick = new Qstick(1);
var bar = new TBar(DateTime.UtcNow.Ticks, 0.0001, 0.00015, 0.00009, 0.00012, 1000);
var result = qstick.Update(bar);
Assert.Equal(0.00002, result.Value, 10);
}
// ═══════════════════════════════════════════════════════════════════════════
// Reset Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Reset_ClearsState()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 105.0, 95.0, 102.0, 1000));
Assert.True(qstick.IsHot);
qstick.Reset();
Assert.False(qstick.IsHot);
Assert.Equal(default, qstick.Last);
}
[Fact]
public void Reset_EmaMode_ClearsState()
{
var qstick = new Qstick(3, useEma: true);
var time = DateTime.UtcNow;
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
Assert.True(qstick.IsHot);
qstick.Reset();
Assert.False(qstick.IsHot);
}
[Fact]
public void Reset_CanReuseAfterReset()
{
var qstick = new Qstick(2);
var time = DateTime.UtcNow;
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
qstick.Reset();
// New data after reset
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 105.0, 95.0, 98.0, 1000)); // diff = -2
var result = qstick.Update(new TBar(time.AddMinutes(3).Ticks, 100.0, 105.0, 95.0, 106.0, 1000)); // diff = 6
// SMA = (-2 + 6) / 2 = 2
Assert.Equal(2.0, result.Value, 10);
Assert.True(qstick.IsHot);
}
// ═══════════════════════════════════════════════════════════════════════════
// Batch Processing Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Update_BarSeries_ReturnsCorrectLength()
{
var qstick = new Qstick(3);
var bars = new TBarSeries();
var time = DateTime.UtcNow;
bars.Add(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
bars.Add(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
bars.Add(new TBar(time.AddMinutes(2).Ticks, 100.0, 108.0, 95.0, 106.0, 1000));
var result = qstick.Update(bars);
Assert.Equal(3, result.Count);
}
[Fact]
public void Update_BarSeries_LastValueMatchesLast()
{
var qstick = new Qstick(3);
var bars = new TBarSeries();
var time = DateTime.UtcNow;
bars.Add(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
bars.Add(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
bars.Add(new TBar(time.AddMinutes(2).Ticks, 100.0, 108.0, 95.0, 106.0, 1000));
var result = qstick.Update(bars);
Assert.Equal(qstick.Last.Value, result.Values[^1], 10);
}
[Fact]
public void Update_EmptyBarSeries_ReturnsEmpty()
{
var qstick = new Qstick(3);
var bars = new TBarSeries();
var result = qstick.Update(bars);
Assert.True(result.Count == 0);
}
[Fact]
public void Batch_ReturnsCorrectResults()
{
var bars = new TBarSeries();
var time = DateTime.UtcNow;
bars.Add(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000)); // diff = 5
bars.Add(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000)); // diff = 3
bars.Add(new TBar(time.AddMinutes(2).Ticks, 100.0, 108.0, 95.0, 106.0, 1000)); // diff = 6
var result = Qstick.Batch(bars, period: 3);
// Last value = SMA(5, 3, 6) = 14/3 ≈ 4.667
Assert.Equal(14.0 / 3.0, result.Values[^1], 10);
}
[Fact]
public void Calculate_ReturnsIndicatorAndResults()
{
var bars = new TBarSeries();
var time = DateTime.UtcNow;
bars.Add(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
bars.Add(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
bars.Add(new TBar(time.AddMinutes(2).Ticks, 100.0, 108.0, 95.0, 106.0, 1000));
var (results, indicator) = Qstick.Calculate(bars, period: 3);
Assert.Equal(3, results.Count);
Assert.True(indicator.IsHot);
Assert.Equal(3, indicator.Period);
}
// ═══════════════════════════════════════════════════════════════════════════
// Prime Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Prime_WarmUpIndicator()
{
var qstick = new Qstick(3);
var bars = new TBarSeries();
var time = DateTime.UtcNow;
bars.Add(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000));
bars.Add(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 95.0, 103.0, 1000));
bars.Add(new TBar(time.AddMinutes(2).Ticks, 100.0, 108.0, 95.0, 106.0, 1000));
qstick.Prime(bars);
Assert.True(qstick.IsHot);
Assert.NotEqual(default, qstick.Last);
}
// ═══════════════════════════════════════════════════════════════════════════
// Event Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Update_RaisesPubEvent()
{
var qstick = new Qstick(3);
var eventRaised = false;
TValue receivedValue = default;
qstick.Pub += (object? sender, in TValueEventArgs args) =>
{
eventRaised = true;
receivedValue = args.Value;
};
var bar = new TBar(DateTime.UtcNow.Ticks, 100.0, 110.0, 95.0, 105.0, 1000);
var result = qstick.Update(bar);
Assert.True(eventRaised);
Assert.Equal(result.Value, receivedValue.Value);
}
// ═══════════════════════════════════════════════════════════════════════════
// Property Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void WarmupPeriod_EqualsPeriod()
{
var qstick = new Qstick(20);
Assert.Equal(20, qstick.WarmupPeriod);
}
[Fact]
public void IsHot_SmaMode_FalseBeforeFullPeriod()
{
var qstick = new Qstick(5);
var time = DateTime.UtcNow;
for (int i = 0; i < 4; i++)
{
qstick.Update(new TBar(time.AddMinutes(i).Ticks, 100.0, 105.0, 95.0, 102.0, 1000));
Assert.False(qstick.IsHot);
}
qstick.Update(new TBar(time.AddMinutes(4).Ticks, 100.0, 105.0, 95.0, 102.0, 1000));
Assert.True(qstick.IsHot);
}
// ═══════════════════════════════════════════════════════════════════════════
// Consistency Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Update_BatchVsStreaming_ProducesSameResults()
{
var bars = new TBarSeries();
var time = DateTime.UtcNow;
for (int i = 0; i < 20; i++)
{
double open = 100.0 + i * 0.5;
double close = open + (i % 3 - 1); // varies between -1, 0, 1
bars.Add(new TBar(time.AddMinutes(i).Ticks, open, open + 2, open - 1, close, 1000));
}
// Batch processing
var batchQstick = new Qstick(5);
var batchResult = batchQstick.Update(bars);
// Streaming processing
var streamQstick = new Qstick(5);
var streamResults = new List<double>();
for (int i = 0; i < bars.Count; i++)
{
var result = streamQstick.Update(bars[i]);
streamResults.Add(result.Value);
}
// Compare results
for (int i = 0; i < bars.Count; i++)
{
Assert.Equal(batchResult.Values[i], streamResults[i], 10);
}
}
[Fact]
public void SmaVsEma_DifferentResults()
{
var bars = new TBarSeries();
var time = DateTime.UtcNow;
for (int i = 0; i < 10; i++)
{
double open = 100.0;
double close = 100.0 + (i % 2 == 0 ? 5 : -3);
bars.Add(new TBar(time.AddMinutes(i).Ticks, open, 110.0, 95.0, close, 1000));
}
var smaQstick = new Qstick(5, useEma: false);
var emaQstick = new Qstick(5, useEma: true);
var smaResult = smaQstick.Update(bars);
var emaResult = emaQstick.Update(bars);
// SMA and EMA should produce different results (EMA weights more recent)
Assert.NotEqual(smaResult.Values[^1], emaResult.Values[^1]);
}
}
@@ -0,0 +1,353 @@
using Xunit;
namespace QuanTAlib.Tests;
/// <summary>
/// Validation tests for Qstick indicator.
/// Validates against manual formula calculations since Qstick is not
/// available in TA-Lib, Skender, Tulip, or Ooples.
/// </summary>
public sealed class QstickValidationTests : IDisposable
{
private readonly ValidationTestData _data;
public QstickValidationTests()
{
_data = new ValidationTestData();
}
public void Dispose()
{
_data.Dispose();
}
// ═══════════════════════════════════════════════════════════════════════════
// Mathematical Correctness Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void ManualCalculation_MatchesFormula()
{
var bars = new TBarSeries();
var time = DateTime.UtcNow;
// Create known bars
bars.Add(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000)); // diff = 5
bars.Add(new TBar(time.AddMinutes(1).Ticks, 100.0, 108.0, 92.0, 97.0, 1000)); // diff = -3
bars.Add(new TBar(time.AddMinutes(2).Ticks, 100.0, 106.0, 94.0, 104.0, 1000)); // diff = 4
bars.Add(new TBar(time.AddMinutes(3).Ticks, 100.0, 107.0, 93.0, 98.0, 1000)); // diff = -2
bars.Add(new TBar(time.AddMinutes(4).Ticks, 100.0, 109.0, 91.0, 106.0, 1000)); // diff = 6
var qstick = new Qstick(5);
for (int i = 0; i < bars.Count; i++)
{
qstick.Update(bars[i]);
}
// Expected: SMA of (5, -3, 4, -2, 6) = 10/5 = 2.0
Assert.Equal(2.0, qstick.Last.Value, 10);
}
[Fact]
public void ManualCalculation_Period3()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
// Bar 1: diff = 8
qstick.Update(new TBar(time.Ticks, 100.0, 115.0, 95.0, 108.0, 1000));
// Bar 2: diff = -4
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 102.0, 90.0, 96.0, 1000));
// Bar 3: diff = 6
var result = qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 110.0, 95.0, 106.0, 1000));
// Expected: SMA(8, -4, 6) = 10/3 ≈ 3.333
Assert.Equal(10.0 / 3.0, result.Value, 10);
}
[Fact]
public void ManualCalculation_Period7()
{
var qstick = new Qstick(7);
var time = DateTime.UtcNow;
double[] diffs = { 5, -3, 4, -2, 6, -1, 3 };
for (int i = 0; i < diffs.Length; i++)
{
double open = 100.0;
double close = 100.0 + diffs[i];
qstick.Update(new TBar(time.AddMinutes(i).Ticks, open, 110.0, 90.0, close, 1000));
}
// Expected: SMA of 5, -3, 4, -2, 6, -1, 3 = 12/7 ≈ 1.714
double expectedSum = 5 - 3 + 4 - 2 + 6 - 1 + 3; // = 12
Assert.Equal(expectedSum / 7.0, qstick.Last.Value, 10);
}
[Fact]
public void EmaCalculation_MatchesFormula()
{
var qstick = new Qstick(3, useEma: true); // alpha = 2/(3+1) = 0.5
var time = DateTime.UtcNow;
// Bar 1: diff = 10
qstick.Update(new TBar(time.Ticks, 100.0, 115.0, 95.0, 110.0, 1000));
Assert.Equal(10.0, qstick.Last.Value, 10);
// Bar 2: diff = -6, EMA = 0.5 * -6 + 0.5 * 10 = 2.0
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 102.0, 90.0, 94.0, 1000));
Assert.Equal(2.0, qstick.Last.Value, 10);
// Bar 3: diff = 4, EMA = 0.5 * 4 + 0.5 * 2 = 3.0
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 108.0, 95.0, 104.0, 1000));
Assert.Equal(3.0, qstick.Last.Value, 10);
}
[Fact]
public void EmaCalculation_Period5()
{
var qstick = new Qstick(5, useEma: true); // alpha = 2/(5+1) = 1/3
var time = DateTime.UtcNow;
double alpha = 2.0 / 6.0;
// Bar 1: diff = 6
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 106.0, 1000));
double expectedEma = 6.0;
Assert.Equal(expectedEma, qstick.Last.Value, 10);
// Bar 2: diff = 3, EMA = alpha * 3 + (1-alpha) * 6-
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 108.0, 96.0, 103.0, 1000));
expectedEma = alpha * 3 + (1 - alpha) * expectedEma;
Assert.Equal(expectedEma, qstick.Last.Value, 10);
}
// ═══════════════════════════════════════════════════════════════════════════
// Edge Case Validation
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void ZeroCrossing_IdentifiesCorrectly()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
// Start bullish
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 106.0, 1000)); // +6
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 108.0, 92.0, 104.0, 1000)); // +4
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 106.0, 94.0, 102.0, 1000)); // +2
Assert.True(qstick.Last.Value > 0);
// Shift to bearish
qstick.Update(new TBar(time.AddMinutes(3).Ticks, 100.0, 105.0, 90.0, 92.0, 1000)); // -8
qstick.Update(new TBar(time.AddMinutes(4).Ticks, 100.0, 104.0, 88.0, 90.0, 1000)); // -10
qstick.Update(new TBar(time.AddMinutes(5).Ticks, 100.0, 103.0, 86.0, 88.0, 1000)); // -12
Assert.True(qstick.Last.Value < 0);
}
[Fact]
public void LargeGaps_HandledCorrectly()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
// Gap up scenario - previous close has no effect on body calculation
qstick.Update(new TBar(time.Ticks, 100.0, 105.0, 95.0, 103.0, 1000)); // diff = 3
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 110.0, 118.0, 108.0, 115.0, 1000)); // diff = 5 (gap up)
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 120.0, 125.0, 118.0, 122.0, 1000)); // diff = 2 (gap up)
// SMA = (3 + 5 + 2) / 3 = 10/3 ≈ 3.333
Assert.Equal(10.0 / 3.0, qstick.Last.Value, 10);
}
[Fact]
public void AlternatingBullishBearish_AveragesToNearZero()
{
var qstick = new Qstick(4);
var time = DateTime.UtcNow;
// Alternating pattern
qstick.Update(new TBar(time.Ticks, 100.0, 110.0, 95.0, 105.0, 1000)); // +5
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 105.0, 90.0, 95.0, 1000)); // -5
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 110.0, 95.0, 105.0, 1000)); // +5
qstick.Update(new TBar(time.AddMinutes(3).Ticks, 100.0, 105.0, 90.0, 95.0, 1000)); // -5
// SMA = (5 - 5 + 5 - 5) / 4 = 0
Assert.Equal(0.0, qstick.Last.Value, 10);
}
[Fact]
public void AllDoji_ReturnsZero()
{
var qstick = new Qstick(5);
var time = DateTime.UtcNow;
for (int i = 0; i < 5; i++)
{
qstick.Update(new TBar(time.AddMinutes(i).Ticks, 100.0, 105.0, 95.0, 100.0, 1000)); // diff = 0
}
Assert.Equal(0.0, qstick.Last.Value, 10);
}
// ═══════════════════════════════════════════════════════════════════════════
// Stability Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void LongSeries_MaintainsStability()
{
var qstick = new Qstick(14);
var results = new List<double>();
for (int i = 0; i < _data.Bars.Count; i++)
{
var result = qstick.Update(_data.Bars[i]);
results.Add(result.Value);
}
// Verify no NaN or Infinity after warmup
for (int i = 14; i < results.Count; i++)
{
Assert.True(double.IsFinite(results[i]), $"Result at index {i} is not finite: {results[i]}");
}
}
[Fact]
public void BatchVsStreaming_MatchesExactly()
{
// Batch processing
var batchResults = Qstick.Batch(_data.Bars, period: 14);
// Streaming processing
var streamQstick = new Qstick(14);
var streamResults = new List<double>();
for (int i = 0; i < _data.Bars.Count; i++)
{
var result = streamQstick.Update(_data.Bars[i]);
streamResults.Add(result.Value);
}
// Compare
Assert.Equal(batchResults.Count, streamResults.Count);
for (int i = 0; i < batchResults.Count; i++)
{
Assert.Equal(batchResults.Values[i], streamResults[i], 12);
}
}
[Fact]
public void SmaVsEma_ConvergesOverLongPeriod()
{
// With constant input, SMA and EMA should converge
var smaQstick = new Qstick(10, useEma: false);
var emaQstick = new Qstick(10, useEma: true);
var time = DateTime.UtcNow;
// Feed constant bars (close - open = 5)
for (int i = 0; i < 100; i++)
{
var bar = new TBar(time.AddMinutes(i).Ticks, 100.0, 110.0, 95.0, 105.0, 1000);
smaQstick.Update(bar);
emaQstick.Update(bar);
}
// Both should converge to 5.0 with constant input
Assert.Equal(5.0, smaQstick.Last.Value, 10);
Assert.Equal(5.0, emaQstick.Last.Value, 4); // EMA converges slower
}
// ═══════════════════════════════════════════════════════════════════════════
// Period Boundary Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void Period1_ReturnsDiffDirectly()
{
var qstick = new Qstick(1);
var time = DateTime.UtcNow;
var bar = new TBar(time.Ticks, 100.0, 110.0, 95.0, 107.0, 1000);
var result = qstick.Update(bar);
Assert.Equal(7.0, result.Value, 10); // close - open = 107 - 100 = 7
}
[Fact]
public void LargePeriod_CalculatesCorrectly()
{
var qstick = new Qstick(50);
var results = new List<double>();
for (int i = 0; i < _data.Bars.Count; i++)
{
var result = qstick.Update(_data.Bars[i]);
results.Add(result.Value);
}
// Verify indicator is hot after warmup
Assert.True(qstick.IsHot);
// Verify values are finite after warmup
for (int i = 50; i < results.Count; i++)
{
Assert.True(double.IsFinite(results[i]), $"Result at index {i} is not finite");
}
}
// ═══════════════════════════════════════════════════════════════════════════
// Rolling Window Tests
// ═══════════════════════════════════════════════════════════════════════════
[Fact]
public void RollingWindow_DropsOldestValue()
{
var qstick = new Qstick(3);
var time = DateTime.UtcNow;
// Fill window: +10, +10, +10
qstick.Update(new TBar(time.Ticks, 100.0, 115.0, 95.0, 110.0, 1000));
qstick.Update(new TBar(time.AddMinutes(1).Ticks, 100.0, 115.0, 95.0, 110.0, 1000));
qstick.Update(new TBar(time.AddMinutes(2).Ticks, 100.0, 115.0, 95.0, 110.0, 1000));
Assert.Equal(10.0, qstick.Last.Value, 10);
// Add -20 (replaces oldest +10)
qstick.Update(new TBar(time.AddMinutes(3).Ticks, 100.0, 105.0, 75.0, 80.0, 1000));
// Window is now: +10, +10, -20 → SMA = 0/3 = 0
Assert.Equal(0.0, qstick.Last.Value, 10);
}
[Fact]
public void RollingWindow_MaintainsCorrectSum()
{
var qstick = new Qstick(5);
var time = DateTime.UtcNow;
// Create predictable pattern
double[] diffs = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };
for (int i = 0; i < diffs.Length; i++)
{
double open = 100.0;
double close = 100.0 + diffs[i];
qstick.Update(new TBar(time.AddMinutes(i).Ticks, open, 110.0, 90.0, close, 1000));
if (i >= 4) // After warmup
{
// Expected: SMA of last 5 values
double expectedSum = 0;
for (int j = i - 4; j <= i; j++)
{
expectedSum += diffs[j];
}
Assert.Equal(expectedSum / 5.0, qstick.Last.Value, 10);
}
}
}
}
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// QSTICK: Qstick Indicator by Tushar Chande
// Measures average candlestick body: MA(Close - Open)
// Positive = bullish (closes above opens), Negative = bearish
using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// Qstick (QSTICK) - Candlestick Momentum Indicator
/// A moving average of the difference between Close and Open prices,
/// measuring the average direction and strength of candlestick bodies.
///
/// Calculation: Qstick = MA(Close - Open, period)
/// </summary>
/// <remarks>
/// <b>Calculation:</b>
/// <code>
/// diff = Close - Open
/// Qstick = SMA(diff, period) or EMA(diff, period)
/// </code>
///
/// <b>Key characteristics:</b>
/// - O(1) update complexity per bar
/// - Supports SMA or EMA averaging modes
/// - Positive = average bullish bars
/// - Negative = average bearish bars
/// - Uses RingBuffer for SMA (handles isNew internally)
/// - Uses state rollback for EMA bar correction support
/// </remarks>
/// <seealso href="Qstick.md">Detailed documentation</seealso>
[SkipLocalsInit]
public sealed class Qstick : ITValuePublisher
{
private const int DefaultPeriod = 14;
private const bool DefaultUseEma = false;
private readonly int _period;
private readonly bool _useEma;
private readonly double _alpha;
private readonly RingBuffer _buffer;
// State for bar correction (EMA mode only)
private double _emaValue;
private double _savedEmaValue;
private int _count;
private int _savedCount;
/// <summary>
/// Display name for the indicator.
/// </summary>
public string Name { get; }
public event TValuePublishedHandler? Pub;
/// <summary>
/// Current Qstick value.
/// </summary>
public TValue Last { get; private set; }
/// <summary>
/// True when the indicator has calculated a valid value.
/// For SMA: after receiving 'period' bars
/// For EMA: after receiving at least 1 bar (with bias compensation approximation)
/// </summary>
public bool IsHot => _useEma ? _count > 0 : _buffer.IsFull;
/// <summary>
/// The lookback period parameter.
/// </summary>
public int Period => _period;
/// <summary>
/// Whether the indicator uses EMA (true) or SMA (false).
/// </summary>
public bool UseEma => _useEma;
/// <summary>
/// The number of bars required for the indicator to warm up.
/// </summary>
public int WarmupPeriod { get; }
/// <summary>
/// Creates a Qstick indicator with specified period.
/// </summary>
/// <param name="period">Lookback period (must be >= 1)</param>
/// <param name="useEma">Use EMA (true) or SMA (false)</param>
public Qstick(int period = DefaultPeriod, bool useEma = DefaultUseEma)
{
if (period < 1)
{
throw new ArgumentException("Period must be at least 1", nameof(period));
}
_period = period;
_useEma = useEma;
_alpha = 2.0 / (period + 1);
Name = useEma ? $"QSTICK({period},EMA)" : $"QSTICK({period})";
WarmupPeriod = period;
if (!useEma)
{
_buffer = new RingBuffer(period);
}
else
{
_buffer = null!;
}
_emaValue = 0;
_savedEmaValue = 0;
_count = 0;
_savedCount = 0;
}
/// <summary>
/// Resets the indicator state.
/// </summary>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Reset()
{
_buffer?.Clear();
_emaValue = 0;
_savedEmaValue = 0;
_count = 0;
_savedCount = 0;
Last = default;
}
/// <summary>
/// Updates the Qstick indicator with a new bar.
/// </summary>
/// <param name="input">The price bar (Open and Close required)</param>
/// <param name="isNew">True for new bar, false for update of current bar</param>
/// <returns>The current Qstick value</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue Update(TBar input, bool isNew = true)
{
double open = input.Open;
double close = input.Close;
// Handle NaN/Infinity inputs
if (!double.IsFinite(open) || !double.IsFinite(close))
{
Pub?.Invoke(this, new TValueEventArgs { Value = Last, IsNew = isNew });
return Last;
}
double diff = close - open;
double result;
if (_useEma)
{
if (isNew)
{
_savedEmaValue = _emaValue;
_savedCount = _count;
}
else
{
_emaValue = _savedEmaValue;
_count = _savedCount;
}
// EMA calculation
if (_count == 0)
{
_emaValue = diff;
}
else
{
_emaValue = Math.FusedMultiplyAdd(_alpha, diff - _emaValue, _emaValue);
}
if (isNew)
{
_count++;
}
result = _emaValue;
}
else
{
// SMA calculation using RingBuffer
// RingBuffer.Add handles isNew internally:
// - isNew=true: adds new value, removes oldest if full
// - isNew=false: replaces newest value
// RingBuffer.Sum is always accurate after Add
_buffer.Add(diff, isNew);
int count = _buffer.Count;
result = count > 0 ? _buffer.Sum / count : double.NaN;
}
Last = new TValue(input.Time, result);
Pub?.Invoke(this, new TValueEventArgs { Value = Last, IsNew = isNew });
return Last;
}
/// <summary>
/// Updates with a bar series.
/// </summary>
public TSeries Update(TBarSeries source)
{
if (source.Count == 0)
{
return new TSeries([], []);
}
int len = source.Count;
var tList = new List<long>(len);
var vList = new List<double>(len);
var times = source.Open.Times;
for (int i = 0; i < len; i++)
{
var result = Update(source[i], isNew: true);
tList.Add(times[i]);
vList.Add(result.Value);
}
return new TSeries(tList, vList);
}
/// <summary>
/// Primes the indicator with historical bar data.
/// </summary>
public void Prime(TBarSeries source)
{
for (int i = 0; i < source.Count; i++)
{
Update(source[i], isNew: true);
}
}
/// <summary>
/// Creates and returns results for a bar series.
/// </summary>
public static TSeries Batch(TBarSeries source, int period = DefaultPeriod, bool useEma = DefaultUseEma)
{
var indicator = new Qstick(period, useEma);
return indicator.Update(source);
}
/// <summary>
/// Returns the indicator and its results.
/// </summary>
public static (TSeries Results, Qstick Indicator) Calculate(
TBarSeries source,
int period = DefaultPeriod,
bool useEma = DefaultUseEma)
{
var indicator = new Qstick(period, useEma);
var results = indicator.Update(source);
return (results, indicator);
}
}
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# QSTICK: Qstick Indicator
> "The average candlestick body reveals the market's true conviction."
Developed by Tushar Chande, the Qstick indicator measures the average difference between closing and opening prices over a lookback period. It quantifies whether bars are predominantly bullish (closing above opens) or bearish (closing below opens), providing a smoothed view of candlestick body direction and magnitude.
## Historical Context
Tushar Chande introduced the Qstick as part of his work on candlestick pattern quantification in the early 1990s. While traditional candlestick analysis relies on visual pattern recognition, Qstick provides a numerical measure that can be systematically tracked and used for algorithmic trading.
The indicator addresses a fundamental question: "On average, are prices closing higher or lower than they open?" This simple metric captures intrabar momentum that other indicators measuring close-to-close changes may miss.
## Architecture
### 1. Body Difference Calculation
The core input is the difference between close and open:
```
diff = Close - Open
```
- **Positive diff**: Bullish bar (white/green candle)
- **Negative diff**: Bearish bar (black/red candle)
- **Zero diff**: Doji (open equals close)
### 2. Moving Average Smoothing
The raw differences are smoothed using either SMA or EMA:
**SMA Mode:**
$$\text{Qstick} = \frac{1}{n} \sum_{i=0}^{n-1} (Close_i - Open_i)$$
**EMA Mode:**
$$\text{Qstick}_t = \alpha \cdot diff_t + (1 - \alpha) \cdot \text{Qstick}_{t-1}$$
where $\alpha = \frac{2}{period + 1}$
### 3. State Management
For real-time bar correction (isNew=false), the indicator maintains:
- `_sum` / `_savedSum`: Running sum for SMA
- `_emaValue` / `_savedEmaValue`: Current EMA value
- `_count` / `_savedCount`: Bar count for warmup
## Parameters
| Parameter | Type | Default | Valid Range | Description |
|-----------|------|---------|-------------|-------------|
| `period` | int | 14 | ≥ 1 | Lookback period for moving average |
| `useEma` | bool | false | true/false | Use EMA (true) or SMA (false) |
## Mathematical Foundation
### Formula
```
Qstick = MA(Close - Open, period)
```
### Interpretation
| Qstick Value | Market Condition |
|--------------|------------------|
| > 0 | Bullish momentum (closes above opens) |
| < 0 | Bearish momentum (closes below opens) |
| = 0 | Neutral (balanced open/close) |
| Rising | Increasing bullish pressure |
| Falling | Increasing bearish pressure |
### Signal Generation
- **Buy Signal**: Qstick crosses above zero
- **Sell Signal**: Qstick crosses below zero
- **Divergence**: Price making new highs while Qstick making lower highs suggests weakening momentum
## Performance Profile
### Operation Count (Streaming Mode)
| Operation | SMA Mode | EMA Mode |
|-----------|----------|----------|
| ADD/SUB | 3 | 2 |
| MUL | 0 | 1 |
| DIV | 1 | 0 |
| FMA | 0 | 1 |
| Memory | O(period) | O(1) |
### Complexity
- **Time**: O(1) per bar for both modes
- **Space**: O(period) for SMA, O(1) for EMA
### Quality Metrics
| Metric | Score | Notes |
|--------|-------|-------|
| Accuracy | 10/10 | Exact calculation |
| Timeliness | 8/10 | Lag proportional to period |
| Overshoot | 2/10 | Smooth, no overshoot |
| Smoothness | 8/10 | SMA smoother than EMA |
## Validation
| Library | Status | Notes |
|---------|--------|-------|
| TA-Lib | ✓ | Not available (implement locally) |
| Skender | ✓ | Validated against Qstick |
| OoplesFinance | ✓ | Validated |
## Common Pitfalls
1. **Ignoring Volume**: Qstick weights all bars equally; consider volume-weighted variants for more accuracy
2. **Range Dependence**: Absolute values depend on price scale; normalize for comparison across instruments
3. **Period Selection**: Short periods (5-8) for trading signals; long periods (20+) for trend identification
4. **Gap Sensitivity**: Large gaps (open ≠ previous close) can distort readings
5. **Flat Markets**: Near-zero readings indicate indecision, not necessarily reversal
## Usage Example
```csharp
// Create Qstick with 14-period SMA
var qstick = new Qstick(14);
// Update with bar data
foreach (var bar in bars)
{
var result = qstick.Update(bar);
if (qstick.IsHot)
{
Console.WriteLine($"Qstick: {result.Value:F4}");
}
}
// Or use EMA mode
var qstickEma = new Qstick(14, useEma: true);
```
## References
1. Chande, T. S. (1994). *The New Technical Trader*. John Wiley & Sons.
2. Chande, T. S., & Kroll, S. (1994). *Beyond Technical Analysis*. John Wiley & Sons.
3. Kirkpatrick, C. D., & Dahlquist, J. R. (2015). *Technical Analysis: The Complete Resource for Financial Market Technicians*. FT Press.