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Add Kahan-Babuška Summation Algorithm and Enhance Variance Indicator Tests

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- Introduced a new `Sum` class implementing the Kahan-Babuška algorithm for high-precision rolling summation.
- Added comprehensive documentation for the `Sum` class, detailing its mathematical foundation, performance profile, and use cases.
- Refactored `VarianceIndicator` tests to improve clarity and coverage, including checks for different source types and the ability to change properties.
- Enhanced `UsfIndicator` tests to validate initialization, processing of updates, and property changes.
- Updated `UsfIndicator` implementation to simplify source handling and improve short name generation.
- Modified Qodana configuration to exclude unused auto property accessor warnings.
This commit is contained in:
Miha Kralj
2025-12-29 18:56:10 -08:00
parent bfa92e554b
commit 4dbb093892
28 changed files with 4125 additions and 241 deletions
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lib/statistics/variance/Variance.Validation.Tests.cs
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using QuanTAlib.Tests;
using Skender.Stock.Indicators;
using TALib;
using Tulip;
using OoplesFinance.StockIndicators;
using OoplesFinance.StockIndicators.Models;
using OoplesFinance.StockIndicators.Enums;
using MathNet.Numerics.Statistics;
namespace QuanTAlib.Validation;