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

lib/volume/adosc/tests/Adosc.Quantower.Tests.cs

@@ -0,0 +1,125 @@
+using TradingPlatform.BusinessLayer;
+using QuanTAlib;
+
+namespace QuanTAlib.Tests;
+
+public class AdoscIndicatorTests
+{
+    [Fact]
+    public void AdoscIndicator_Constructor_SetsDefaults()
+    {
+        var indicator = new AdoscIndicator();
+
+        Assert.Equal(3, indicator.FastPeriod);
+        Assert.Equal(10, indicator.SlowPeriod);
+        Assert.True(indicator.ShowColdValues);
+        Assert.Equal("ADOSC - Accumulation/Distribution Oscillator", indicator.Name);
+        Assert.True(indicator.SeparateWindow);
+        Assert.True(indicator.OnBackGround);
+    }
+
+    [Fact]
+    public void AdoscIndicator_MinHistoryDepths_EqualsZero()
+    {
+        var indicator = new AdoscIndicator
+        {
+            SlowPeriod = 20,
+        };
+
+        Assert.Equal(0, AdoscIndicator.MinHistoryDepths);
+        IWatchlistIndicator watchlistIndicator = indicator;
+        Assert.Equal(0, watchlistIndicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void AdoscIndicator_SlowPeriod_CanBeChanged()
+    {
+        var indicator = new AdoscIndicator
+        {
+            SlowPeriod = 40,
+        };
+
+        Assert.Equal(40, indicator.SlowPeriod);
+        Assert.Equal(0, AdoscIndicator.MinHistoryDepths);
+    }
+
+    [Fact]
+    public void AdoscIndicator_SourceCodeLink_IsValid()
+    {
+        var indicator = new AdoscIndicator();
+
+        Assert.Contains("github.com", indicator.SourceCodeLink, StringComparison.Ordinal);
+        Assert.Contains("Adosc.Quantower.cs", indicator.SourceCodeLink, StringComparison.Ordinal);
+    }
+
+    [Fact]
+    public void AdoscIndicator_Initialize_CreatesInternalAdosc()
+    {
+        var indicator = new AdoscIndicator { FastPeriod = 5, SlowPeriod = 34 };
+
+        // Initialize should not throw
+        indicator.Initialize();
+
+        // After init, line series should exist
+        Assert.Single(indicator.LinesSeries);
+    }
+
+    [Fact]
+    public void AdoscIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
+    {
+        var indicator = new AdoscIndicator { FastPeriod = 2, SlowPeriod = 5 };
+        indicator.Initialize();
+
+        // Add historical data
+        var now = DateTime.UtcNow;
+        // Need enough bars for Period
+        for (int i = 0; i < 20; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i, 1000 + i);
+
+            // Process update for each bar to simulate history loading
+            var args = new UpdateArgs(UpdateReason.HistoricalBar);
+            indicator.ProcessUpdate(args);
+        }
+
+        // Line series should have a value
+        double val = indicator.LinesSeries[0].GetValue(0);
+        Assert.True(double.IsFinite(val));
+    }
+
+    [Fact]
+    public void AdoscIndicator_ProcessUpdate_NewBar_ComputesValue()
+    {
+        var indicator = new AdoscIndicator { FastPeriod = 2, SlowPeriod = 5 };
+        indicator.Initialize();
+
+        var now = DateTime.UtcNow;
+        for (int i = 0; i < 20; i++)
+        {
+            indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i, 1000 + i);
+        }
+
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
+
+        // Add new bar
+        indicator.HistoricalData.AddBar(now.AddMinutes(20), 120, 130, 110, 125, 1200);
+        indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar));
+
+        Assert.Equal(2, indicator.LinesSeries[0].Count);
+    }
+
+    [Fact]
+    public void AdoscIndicator_Parameters_CanBeChanged()
+    {
+        var indicator = new AdoscIndicator { FastPeriod = 5, SlowPeriod = 34 };
+        Assert.Equal(5, indicator.FastPeriod);
+        Assert.Equal(34, indicator.SlowPeriod);
+
+        indicator.FastPeriod = 10;
+        indicator.SlowPeriod = 40;
+
+        Assert.Equal(10, indicator.FastPeriod);
+        Assert.Equal(40, indicator.SlowPeriod);
+        Assert.Equal(0, AdoscIndicator.MinHistoryDepths);
+    }
+}

lib/volume/adosc/tests/Adosc.Tests.cs

@@ -0,0 +1,220 @@
+namespace QuanTAlib;
+
+public class AdoscTests
+{
+    private readonly GBM _gbm;
+    private readonly TBarSeries _bars;
+
+    public AdoscTests()
+    {
+        _gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
+        _bars = _gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
+    }
+
+    [Fact]
+    public void Constructor_ValidatesInput()
+    {
+        Assert.Throws<ArgumentException>(() => new Adosc(fastPeriod: 0));
+        Assert.Throws<ArgumentException>(() => new Adosc(slowPeriod: 0));
+        Assert.Throws<ArgumentException>(() => new Adosc(fastPeriod: 10, slowPeriod: 5));
+    }
+
+    [Fact]
+    public void Calc_ReturnsValue()
+    {
+        var adosc = new Adosc(3, 10);
+        var result = adosc.Update(_bars[0]);
+        Assert.True(double.IsFinite(result.Value));
+    }
+
+    [Fact]
+    public void Properties_Accessible()
+    {
+        var adosc = new Adosc(3, 10);
+        Assert.Equal("Adosc(3,10)", adosc.Name);
+        Assert.False(adosc.IsHot);
+        Assert.Equal(10, adosc.WarmupPeriod);
+    }
+
+    [Fact]
+    public void Calc_IsNew_AcceptsParameter()
+    {
+        var adosc = new Adosc(3, 10);
+        adosc.Update(_bars[0], isNew: true);
+        adosc.Update(_bars[1], isNew: true);
+        Assert.NotEqual(adosc.Last.Time, _bars[0].Time);
+    }
+
+    [Fact]
+    public void Calc_IsNew_False_UpdatesValue()
+    {
+        var adosc = new Adosc(3, 10);
+        adosc.Update(_bars[0], isNew: true);
+        var firstResult = adosc.Last.Value;
+
+        var modifiedBar = new TBar(_bars[0].Time, _bars[0].Open, _bars[0].High, _bars[0].Low, _bars[0].Close * 1.1, _bars[0].Volume);
+        adosc.Update(modifiedBar, isNew: false);
+
+        Assert.NotEqual(firstResult, adosc.Last.Value);
+    }
+
+    [Fact]
+    public void Reset_ClearsState()
+    {
+        var adosc = new Adosc(3, 10);
+        adosc.Update(_bars[0]);
+        adosc.Reset();
+        Assert.False(adosc.IsHot);
+        Assert.Equal(0, adosc.Last.Value);
+    }
+
+    [Fact]
+    public void IsHot_BecomesTrueWhenBufferFull()
+    {
+        var adosc = new Adosc(3, 10);
+        for (int i = 0; i < 20; i++)
+        {
+            adosc.Update(_bars[i]);
+        }
+        Assert.True(adosc.IsHot);
+    }
+
+    [Fact]
+    public void AllModes_ProduceSameResult()
+    {
+        var adosc = new Adosc(3, 10);
+        var batchResult = Adosc.Batch(_bars, 3, 10);
+
+        var streamResult = new List<double>();
+        foreach (var bar in _bars)
+        {
+            streamResult.Add(adosc.Update(bar).Value);
+        }
+
+        var spanOutput = new double[_bars.Count];
+        Adosc.Batch(_bars.High.Values, _bars.Low.Values, _bars.Close.Values, _bars.Volume.Values, spanOutput, 3, 10);
+
+        for (int i = 0; i < _bars.Count; i++)
+        {
+            Assert.Equal(batchResult[i].Value, streamResult[i], 1e-9);
+            Assert.Equal(batchResult[i].Value, spanOutput[i], 1e-6);
+        }
+    }
+
+    [Fact]
+    public void NaN_Input_UsesLastValidValue()
+    {
+        var adosc = new Adosc(3, 10);
+
+        // Feed some valid data
+        for (int i = 0; i < 15; i++)
+        {
+            adosc.Update(_bars[i]);
+        }
+
+        // Create a bar with NaN close
+        var nanBar = new TBar(_bars[15].Time, _bars[15].Open, _bars[15].High, _bars[15].Low, double.NaN, _bars[15].Volume);
+        var result = adosc.Update(nanBar);
+
+        Assert.True(double.IsFinite(result.Value));
+    }
+
+    [Fact]
+    public void Infinity_Input_UsesLastValidValue()
+    {
+        var adosc = new Adosc(3, 10);
+
+        // Feed some valid data
+        for (int i = 0; i < 15; i++)
+        {
+            adosc.Update(_bars[i]);
+        }
+
+        // Create a bar with Infinity close
+        var infBar = new TBar(_bars[15].Time, _bars[15].Open, _bars[15].High, _bars[15].Low, double.PositiveInfinity, _bars[15].Volume);
+        var result = adosc.Update(infBar);
+
+        Assert.True(double.IsFinite(result.Value));
+    }
+
+    [Fact]
+    public void IterativeCorrections_RestoreToOriginalState()
+    {
+        var adosc = new Adosc(3, 10);
+
+        // Feed 20 bars
+        TBar bar20 = default;
+        for (int i = 0; i < 20; i++)
+        {
+            bar20 = _bars[i];
+            adosc.Update(bar20, isNew: true);
+        }
+
+        // Remember state after 20 bars
+        double stateAfter20 = adosc.Last.Value;
+
+        // Apply 5 corrections with different values
+        for (int i = 0; i < 5; i++)
+        {
+            var correctedBar = new TBar(bar20.Time, bar20.Open * (1 + i * 0.01), bar20.High * (1 + i * 0.01),
+                bar20.Low * (1 + i * 0.01), bar20.Close * (1 + i * 0.01), bar20.Volume);
+            adosc.Update(correctedBar, isNew: false);
+        }
+
+        // Restore original bar
+        adosc.Update(bar20, isNew: false);
+
+        Assert.Equal(stateAfter20, adosc.Last.Value, 1e-10);
+    }
+
+    [Fact]
+    public void SpanBatch_CalculatesValidOutput()
+    {
+        double[] high = [100, 101, 102, 103, 104];
+        double[] low = [98, 99, 100, 101, 102];
+        double[] close = [99, 100, 101, 102, 103];
+        double[] volume = [1000, 1100, 1200, 1300, 1400];
+        double[] output = new double[5];
+
+        Adosc.Batch(high, low, close, volume, output, 3, 5);
+
+        // Verify output is finite
+        for (int i = 0; i < output.Length; i++)
+        {
+            Assert.True(double.IsFinite(output[i]), $"Output at index {i} should be finite");
+        }
+    }
+
+    [Fact]
+    public void SpanBatch_MatchesTSeriesBatch()
+    {
+        var batchResult = Adosc.Batch(_bars, 3, 10);
+
+        var spanOutput = new double[_bars.Count];
+        Adosc.Batch(_bars.High.Values, _bars.Low.Values, _bars.Close.Values, _bars.Volume.Values, spanOutput, 3, 10);
+
+        for (int i = 0; i < _bars.Count; i++)
+        {
+            Assert.Equal(batchResult[i].Value, spanOutput[i], 1e-6);
+        }
+    }
+
+    [Fact]
+    public void BatchCalc_MatchesIterativeCalc()
+    {
+        var iterativeAdosc = new Adosc(3, 10);
+        var iterativeResults = new List<double>();
+
+        foreach (var bar in _bars)
+        {
+            iterativeResults.Add(iterativeAdosc.Update(bar).Value);
+        }
+
+        var batchResult = Adosc.Batch(_bars, 3, 10);
+
+        for (int i = 0; i < _bars.Count; i++)
+        {
+            Assert.Equal(iterativeResults[i], batchResult[i].Value, 1e-10);
+        }
+    }
+}

lib/volume/adosc/tests/Adosc.Validation.Tests.cs

@@ -0,0 +1,187 @@
+using QuanTAlib.Tests;
+using Skender.Stock.Indicators;
+using OoplesFinance.StockIndicators;
+using OoplesFinance.StockIndicators.Models;
+using OoplesFinance.StockIndicators.Enums;
+
+namespace QuanTAlib;
+
+public sealed class AdoscValidationTests : IDisposable
+{
+    private readonly ValidationTestData _testData;
+    private bool _disposed;
+
+    public AdoscValidationTests()
+    {
+        _testData = new ValidationTestData(); // Default 5000 bars
+    }
+
+    public void Dispose()
+    {
+        Dispose(true);
+    }
+
+    private void Dispose(bool disposing)
+    {
+        if (_disposed)
+        {
+            return;
+        }
+
+        _disposed = true;
+
+        if (disposing)
+        {
+            _testData?.Dispose();
+        }
+    }
+
+    [Fact]
+    public void Validate_Against_TALib_Adosc()
+    {
+        const int fastPeriod = 3;
+        int slowPeriod = 10;
+        double[] high = _testData.Bars.High.Values.ToArray();
+        double[] low = _testData.Bars.Low.Values.ToArray();
+        double[] close = _testData.Bars.Close.Values.ToArray();
+        double[] volume = _testData.Bars.Volume.Values.ToArray();
+        double[] output = new double[close.Length];
+
+        var retCode = TALib.Functions.AdOsc(high, low, close, volume, 0..^0, output, out var outRange, fastPeriod, slowPeriod);
+        Assert.Equal(TALib.Core.RetCode.Success, retCode);
+
+        // 1. Batch Mode
+        var adosc = new Adosc(fastPeriod, slowPeriod);
+        var result = adosc.Update(_testData.Bars);
+        ValidationHelper.VerifyData(result, output, outRange, lookback: slowPeriod - 1, tolerance: ValidationHelper.TalibTolerance);
+
+        // 2. Streaming Mode
+        var adoscStream = new Adosc(fastPeriod, slowPeriod);
+        var streamResults = new List<double>();
+        foreach (var bar in _testData.Bars)
+        {
+            streamResults.Add(adoscStream.Update(bar).Value);
+        }
+        ValidationHelper.VerifyData(streamResults, output, outRange, lookback: slowPeriod - 1, tolerance: ValidationHelper.TalibTolerance);
+
+        // 3. Span Mode
+        double[] spanOutput = new double[close.Length];
+        Adosc.Batch(high, low, close, volume, spanOutput, fastPeriod, slowPeriod);
+        ValidationHelper.VerifyData(spanOutput, output, outRange, lookback: slowPeriod - 1, tolerance: ValidationHelper.TalibTolerance);
+    }
+
+    [Fact]
+    public void Validate_Against_Tulip_Adosc()
+    {
+        int fastPeriod = 3;
+        int slowPeriod = 10;
+        double[] high = _testData.Bars.High.Values.ToArray();
+        double[] low = _testData.Bars.Low.Values.ToArray();
+        double[] close = _testData.Bars.Close.Values.ToArray();
+        double[] volume = _testData.Bars.Volume.Values.ToArray();
+
+        var adoscIndicator = Tulip.Indicators.adosc;
+        double[][] inputs = { high, low, close, volume };
+        double[] options = { fastPeriod, slowPeriod };
+        int start = adoscIndicator.Start(options);
+        double[][] outputs = { new double[close.Length - start] };
+
+        adoscIndicator.Run(inputs, options, outputs);
+        double[] output = outputs[0];
+
+        // 1. Batch Mode
+        var adosc = new Adosc(fastPeriod, slowPeriod);
+        var result = adosc.Update(_testData.Bars);
+        ValidationHelper.VerifyData(result, output, lookback: start, tolerance: ValidationHelper.TulipTolerance);
+
+        // 2. Streaming Mode
+        var adoscStream = new Adosc(fastPeriod, slowPeriod);
+        var streamResults = new List<double>();
+        foreach (var bar in _testData.Bars)
+        {
+            streamResults.Add(adoscStream.Update(bar).Value);
+        }
+        ValidationHelper.VerifyData(streamResults, output, lookback: start, tolerance: ValidationHelper.TulipTolerance);
+
+        // 3. Span Mode
+        double[] spanOutput = new double[close.Length];
+        Adosc.Batch(high, low, close, volume, spanOutput, fastPeriod, slowPeriod);
+        ValidationHelper.VerifyData(spanOutput, output, lookback: start, tolerance: ValidationHelper.TulipTolerance);
+    }
+
+    [Fact]
+    public void Validate_Against_Skender_ChaikinOsc()
+    {
+        int fastPeriod = 3;
+        int slowPeriod = 10;
+
+        var skenderResults = _testData.SkenderQuotes.GetChaikinOsc(fastPeriod, slowPeriod).ToList();
+
+        // 1. Batch Mode
+        var adosc = new Adosc(fastPeriod, slowPeriod);
+        var result = adosc.Update(_testData.Bars);
+        ValidationHelper.VerifyData<ChaikinOscResult>(result, skenderResults, (x) => x.Oscillator, tolerance: ValidationHelper.SkenderTolerance);
+
+        // 2. Streaming Mode
+        var adoscStream = new Adosc(fastPeriod, slowPeriod);
+        var streamResults = new List<double>();
+        foreach (var bar in _testData.Bars)
+        {
+            streamResults.Add(adoscStream.Update(bar).Value);
+        }
+        ValidationHelper.VerifyData<ChaikinOscResult>(streamResults, skenderResults, (x) => x.Oscillator, tolerance: ValidationHelper.SkenderTolerance);
+
+        // 3. Span Mode
+        double[] high = _testData.Bars.High.Values.ToArray();
+        double[] low = _testData.Bars.Low.Values.ToArray();
+        double[] close = _testData.Bars.Close.Values.ToArray();
+        double[] volume = _testData.Bars.Volume.Values.ToArray();
+        double[] spanOutput = new double[close.Length];
+        Adosc.Batch(high, low, close, volume, spanOutput, fastPeriod, slowPeriod);
+        ValidationHelper.VerifyData<ChaikinOscResult>(spanOutput, skenderResults, (x) => x.Oscillator, tolerance: ValidationHelper.SkenderTolerance);
+    }
+
+    [Fact]
+    public void Validate_Against_Ooples_ChaikinOscillator()
+    {
+        int fastPeriod = 3;
+        int slowPeriod = 10;
+
+        var ooplesData = _testData.SkenderQuotes.Select(q => new TickerData
+        {
+            Date = q.Date,
+            Open = (double)q.Open,
+            High = (double)q.High,
+            Low = (double)q.Low,
+            Close = (double)q.Close,
+            Volume = (double)q.Volume
+        }).ToList();
+
+        var stockData = new StockData(ooplesData);
+        var results = stockData.CalculateChaikinOscillator(MovingAvgType.ExponentialMovingAverage, fastPeriod, slowPeriod);
+        var output = results.OutputValues["ChaikinOsc"].ToArray();
+
+        // 1. Batch Mode
+        var adosc = new Adosc(fastPeriod, slowPeriod);
+        var result = adosc.Update(_testData.Bars);
+        ValidationHelper.VerifyData(result, output, lookback: 0, tolerance: ValidationHelper.OoplesTolerance);
+
+        // 2. Streaming Mode
+        var adoscStream = new Adosc(fastPeriod, slowPeriod);
+        var streamResults = new List<double>();
+        foreach (var bar in _testData.Bars)
+        {
+            streamResults.Add(adoscStream.Update(bar).Value);
+        }
+        ValidationHelper.VerifyData(streamResults, output, lookback: 0, tolerance: ValidationHelper.OoplesTolerance);
+
+        // 3. Span Mode
+        double[] high = _testData.Bars.High.Values.ToArray();
+        double[] low = _testData.Bars.Low.Values.ToArray();
+        double[] close = _testData.Bars.Close.Values.ToArray();
+        double[] volume = _testData.Bars.Volume.Values.ToArray();
+        double[] spanOutput = new double[close.Length];
+        Adosc.Batch(high, low, close, volume, spanOutput, fastPeriod, slowPeriod);
+        ValidationHelper.VerifyData(spanOutput, output, lookback: 0, tolerance: ValidationHelper.OoplesTolerance);
+    }
+}