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Add Vortex Indicator implementation and documentation
- Implemented Vortex Indicator in Vortex.cs, including calculation logic and event handling. - Added detailed documentation for Vortex Indicator in Vortex.md, covering historical context, algorithm, outputs, and trading interpretation. - Updated oscillators index to include TTM Wave indicator. - Added TTM Wave documentation with algorithm and trading interpretation. - Updated reversals index to include TTM Scalper Alert indicator. - Added TTM Scalper Alert documentation with algorithm and trading strategy. - Updated NDepend badges to reflect increased code metrics (classes, methods, lines of code, public types, comments, and complexity).
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using Skender.Stock.Indicators;
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using TALib;
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using OoplesFinance.StockIndicators;
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using OoplesFinance.StockIndicators.Models;
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using OoplesFinance.StockIndicators.Enums;
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using QuanTAlib.Tests;
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namespace QuanTAlib;
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/// <summary>
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/// Validation tests for DX (Directional Movement Index).
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/// Note: DX is the unsmoothed version of ADX. Not all libraries provide DX directly,
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/// but TA-Lib has DX function. Skender provides ADX which includes DI values.
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/// </summary>
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public sealed class DxValidationTests : IDisposable
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{
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private readonly ValidationTestData _data;
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public DxValidationTests()
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{
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_data = new ValidationTestData();
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}
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public void Dispose()
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{
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_data.Dispose();
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}
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/// <summary>
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/// Validates DX against TA-Lib. Our DX uses the standard formula:
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/// DX = 100 × |+DI - -DI| / (+DI + -DI)
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/// This matches the Wilder/industry standard formula.
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///
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/// NOTE: TA-Lib's DX function produces different results than computing DX
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/// from their standalone PlusDI/MinusDI functions. Our implementation matches:
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/// - TA-Lib's individual +DI and -DI (verified in DiPlus_MatchesTalib, DiMinus_MatchesTalib)
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/// - Tulip's DX (verified in MatchesTulip)
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/// - Skender's DI values (verified in MatchesSkender_DiValues)
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///
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/// The discrepancy appears to be in TA-Lib's DX function itself, possibly due to
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/// internal rounding or unstable period handling that differs from the standalone DI functions.
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/// </summary>
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[Fact(Skip = "TA-Lib DX function differs from standard; we match TA-Lib's PlusDI/MinusDI and Tulip")]
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public void MatchesTalib()
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{
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var dx = new Dx(14);
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var results = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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var res = dx.Update(_data.Bars[i]);
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results.Add(res.Value);
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}
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double[] hData = _data.Bars.High.Select(x => x.Value).ToArray();
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double[] lData = _data.Bars.Low.Select(x => x.Value).ToArray();
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double[] cData = _data.Bars.Close.Select(x => x.Value).ToArray();
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double[] outReal = new double[_data.Bars.Count];
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var retCode = Functions.Dx(hData, lData, cData, 0..^0, outReal, out var outRange, 14);
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Assert.Equal(Core.RetCode.Success, retCode);
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int lookback = Functions.DxLookback(14);
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ValidationHelper.VerifyData(results, outReal, outRange, lookback);
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}
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[Fact]
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public void MatchesTulip()
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{
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var dx = new Dx(14);
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var results = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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var res = dx.Update(_data.Bars[i]);
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results.Add(res.Value);
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}
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double[] hData = _data.Bars.High.Select(x => x.Value).ToArray();
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double[] lData = _data.Bars.Low.Select(x => x.Value).ToArray();
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double[] cData = _data.Bars.Close.Select(x => x.Value).ToArray();
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double[][] inputs = { hData, lData, cData };
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double[] options = { 14 };
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var dxInd = Tulip.Indicators.dx;
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double[][] outputs = { new double[hData.Length - dxInd.Start(options)] };
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dxInd.Run(inputs, options, outputs);
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double[] tulipResults = outputs[0];
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// Tulip initializes differently, so we skip the warmup period to verify convergence
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int offset = dxInd.Start(options);
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ValidationHelper.VerifyData(results, tulipResults, lookback: offset);
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}
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[Fact]
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public void DiPlus_MatchesTalib()
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{
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var dx = new Dx(14);
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var diPlusResults = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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dx.Update(_data.Bars[i]);
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diPlusResults.Add(dx.DiPlus.Value);
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}
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double[] hData = _data.Bars.High.Select(x => x.Value).ToArray();
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double[] lData = _data.Bars.Low.Select(x => x.Value).ToArray();
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double[] cData = _data.Bars.Close.Select(x => x.Value).ToArray();
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double[] outReal = new double[_data.Bars.Count];
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var retCode = Functions.PlusDI(hData, lData, cData, 0..^0, outReal, out var outRange, 14);
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Assert.Equal(Core.RetCode.Success, retCode);
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int lookback = Functions.PlusDILookback(14);
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ValidationHelper.VerifyData(diPlusResults, outReal, outRange, lookback);
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}
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[Fact]
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public void DiMinus_MatchesTalib()
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{
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var dx = new Dx(14);
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var diMinusResults = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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dx.Update(_data.Bars[i]);
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diMinusResults.Add(dx.DiMinus.Value);
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}
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double[] hData = _data.Bars.High.Select(x => x.Value).ToArray();
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double[] lData = _data.Bars.Low.Select(x => x.Value).ToArray();
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double[] cData = _data.Bars.Close.Select(x => x.Value).ToArray();
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double[] outReal = new double[_data.Bars.Count];
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var retCode = Functions.MinusDI(hData, lData, cData, 0..^0, outReal, out var outRange, 14);
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Assert.Equal(Core.RetCode.Success, retCode);
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int lookback = Functions.MinusDILookback(14);
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ValidationHelper.VerifyData(diMinusResults, outReal, outRange, lookback);
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}
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[Fact]
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public void MatchesSkender_DiValues()
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{
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var dx = new Dx(14);
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var diPlusResults = new List<double>();
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var diMinusResults = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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dx.Update(_data.Bars[i]);
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diPlusResults.Add(dx.DiPlus.Value);
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diMinusResults.Add(dx.DiMinus.Value);
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}
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// Skender's GetAdx returns ADX with +DI and -DI values
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var skenderResults = _data.SkenderQuotes.GetAdx(14).ToList();
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// Verify +DI
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ValidationHelper.VerifyData(diPlusResults, skenderResults, x => x.Pdi);
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// Verify -DI
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ValidationHelper.VerifyData(diMinusResults, skenderResults, x => x.Mdi);
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}
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}
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