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python wrapper
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@@ -1,68 +0,0 @@
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using TradingPlatform.BusinessLayer;
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using QuanTAlib;
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namespace QuanTAlib.Tests;
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public class StdDevIndicatorTests
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{
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[Fact]
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public void StdDevIndicator_Constructor_SetsDefaults()
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{
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var indicator = new StdDevIndicator();
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Assert.Equal(20, indicator.Period);
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Assert.False(indicator.IsPopulation);
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Assert.True(indicator.ShowColdValues);
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Assert.Equal("StdDev - Standard Deviation", indicator.Name);
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Assert.True(indicator.SeparateWindow);
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Assert.True(indicator.OnBackGround);
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Assert.Equal(SourceType.Close, indicator.Source);
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}
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[Fact]
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public void StdDevIndicator_MinHistoryDepths_EqualsZero()
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{
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var indicator = new StdDevIndicator { Period = 20 };
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Assert.Equal(0, StdDevIndicator.MinHistoryDepths);
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IWatchlistIndicator watchlistIndicator = indicator;
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Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
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}
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[Fact]
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public void StdDevIndicator_Initialize_CreatesInternalStdDev()
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{
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var indicator = new StdDevIndicator { Period = 10 };
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// Initialize should not throw
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indicator.Initialize();
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// After init, line series should exist
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Assert.Single(indicator.LinesSeries);
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Assert.Equal("StdDev", indicator.LinesSeries[0].Name);
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}
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[Fact]
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public void StdDevIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
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{
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var indicator = new StdDevIndicator { Period = 5 };
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indicator.Initialize();
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// Add historical data
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var now = DateTime.UtcNow;
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// Need enough bars for Period
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for (int i = 0; i < 20; i++)
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{
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indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i);
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// Process update for each bar to simulate history loading
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var args = new UpdateArgs(UpdateReason.HistoricalBar);
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indicator.ProcessUpdate(args);
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}
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// Line series should have a value
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double stdDev = indicator.LinesSeries[0].GetValue(0);
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Assert.True(double.IsFinite(stdDev));
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}
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}
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@@ -1,63 +0,0 @@
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using System.Drawing;
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using System.Runtime.CompilerServices;
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using TradingPlatform.BusinessLayer;
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namespace QuanTAlib;
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[SkipLocalsInit]
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public sealed class StdDevIndicator : Indicator, IWatchlistIndicator
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{
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[InputParameter("Period", sortIndex: 1, 1, 2000, 1, 0)]
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public int Period { get; set; } = 20;
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[InputParameter("Population StdDev", sortIndex: 2)]
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public bool IsPopulation { get; set; } = false;
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[IndicatorExtensions.DataSourceInput]
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public SourceType Source { get; set; } = SourceType.Close;
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[InputParameter("Show cold values", sortIndex: 21)]
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public bool ShowColdValues { get; set; } = true;
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private StdDev _stdDev = null!;
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private readonly LineSeries _series;
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private Func<IHistoryItem, double> _priceSelector = null!;
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public static int MinHistoryDepths => 0;
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int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
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public override string ShortName => $"StdDev {Period}";
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public override string SourceCodeLink => "https://github.com/mihakralj/QuanTAlib/blob/main/lib/statistics/stddev/StdDev.Quantower.cs";
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public StdDevIndicator()
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{
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OnBackGround = true;
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SeparateWindow = true;
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Name = "StdDev - Standard Deviation";
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Description = "Measures the amount of variation or dispersion of a set of values";
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_series = new LineSeries(name: "StdDev", color: IndicatorExtensions.Statistics, width: 2, style: LineStyle.Solid);
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AddLineSeries(_series);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void OnInit()
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{
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_stdDev = new StdDev(Period, IsPopulation);
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_priceSelector = Source.GetPriceSelector();
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base.OnInit();
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void OnUpdate(UpdateArgs args)
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{
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var item = this.HistoricalData[this.Count - 1, SeekOriginHistory.Begin];
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double value = _priceSelector(item);
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var time = this.HistoricalData.Time();
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var input = new TValue(time, value);
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TValue result = _stdDev.Update(input, args.IsNewBar());
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_series.SetValue(result.Value, _stdDev.IsHot, ShowColdValues);
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}
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}
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