mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-04 20:17:43 +00:00
a9e72dae0d
- Updated Codacy instructions to streamline usage guidelines. - Refactored Bbands class to utilize ArrayPool for memory management, preventing stack overflow on large series. - Changed Fcb class to use long for monotonic deques to avoid truncation issues. - Enhanced Kchannel class to ensure safe defaults for non-finite values. - Improved Maenv class to prevent double-priming during calculations. - Modified Mmchannel class to ensure non-negative buffer indices and removed unnecessary state tracking. - Updated Pchannel class to correctly reference IsHot state. - Refined Regchannel class to avoid double-processing during calculations. - Enhanced Starchannel class to sanitize non-finite values during calculations. - Adjusted Stbands.Quantower.cs to allow finer control over multiplier precision. - Updated Ubands class to only update last valid values on new bars. - Modified Uchannel.Quantower.cs to allow for finer multiplier precision. - Enhanced Vwapbands classes to include standard deviation calculations and ensure consistent array lengths. - Refactored Vwapsd classes to include standard deviation outputs and ensure consistent array lengths. - Updated MonotonicDeque to use long for indices to prevent overflow. - Improved Mdape class to handle zero actual values with a substitute value for error calculation. - Enhanced Rae class to ensure correct state management during updates. - Refined Wmape class to simplify the logic for finding last valid actual and predicted values. - Updated Cmf.Quantower classes to ensure MinHistoryDepths reflects the current period.
114 lines
3.5 KiB
C#
114 lines
3.5 KiB
C#
using TradingPlatform.BusinessLayer;
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namespace QuanTAlib.Tests;
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public class CmfIndicatorTests
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{
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[Fact]
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public void CmfIndicator_Constructor_SetsDefaults()
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{
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var indicator = new CmfIndicator();
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Assert.Equal("CMF - Chaikin Money Flow", indicator.Name);
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Assert.Equal(20, indicator.Period);
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Assert.True(indicator.SeparateWindow);
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Assert.True(indicator.OnBackGround);
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Assert.Equal(20, indicator.MinHistoryDepths);
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}
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[Fact]
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public void CmfIndicator_ShortName_ReflectsPeriod()
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{
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var indicator = new CmfIndicator { Period = 14 };
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Assert.Equal("CMF(14)", indicator.ShortName);
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}
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[Fact]
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public void CmfIndicator_MinHistoryDepths_EqualsDefault()
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{
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var indicator = new CmfIndicator();
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Assert.Equal(20, indicator.MinHistoryDepths);
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Assert.Equal(20, ((IWatchlistIndicator)indicator).MinHistoryDepths);
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}
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[Fact]
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public void CmfIndicator_Initialize_CreatesInternalCmf()
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{
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var indicator = new CmfIndicator();
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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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}
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[Fact]
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public void CmfIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
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{
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var indicator = new CmfIndicator();
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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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for (int i = 0; i < 30; i++)
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{
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indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i, 1000);
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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 val = indicator.LinesSeries[0].GetValue(0);
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Assert.True(double.IsFinite(val));
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}
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[Fact]
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public void CmfIndicator_ProcessUpdate_NewBar_ComputesValue()
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{
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var indicator = new CmfIndicator();
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indicator.Initialize();
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var now = DateTime.UtcNow;
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for (int i = 0; i < 30; i++)
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{
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indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 110 + i, 90 + i, 105 + i, 1000);
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}
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
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// Add new bar
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indicator.HistoricalData.AddBar(now.AddMinutes(30), 130, 140, 120, 135, 1500);
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar));
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Assert.Equal(2, indicator.LinesSeries[0].Count);
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}
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[Fact]
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public void CmfIndicator_Value_IsBounded()
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{
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var indicator = new CmfIndicator();
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indicator.Initialize();
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var now = DateTime.UtcNow;
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for (int i = 0; i < 50; i++)
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{
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// Create varying price patterns to exercise full CMF range
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double open = 100 + i;
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double high = open + 10 + (i % 5);
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double low = open - 5;
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double close = (i % 2 == 0) ? high - 1 : low + 1; // Alternate high/low closes
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double volume = 1000 + (i * 100);
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indicator.HistoricalData.AddBar(now.AddMinutes(i), open, high, low, close, volume);
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
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}
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double val = indicator.LinesSeries[0].GetValue(0);
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Assert.True(val >= -1 && val <= 1, $"CMF value {val} should be between -1 and +1");
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}
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}
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