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Implement ZTEST: One-Sample t-Test Statistic with validation tests
- Added Ztest class to compute the one-sample t-statistic using sample standard deviation with Bessel correction. - Implemented validation tests for Ztest to ensure accuracy against manual calculations and PineScript. - Updated documentation for Ztest, detailing its mathematical foundation, performance profile, and common pitfalls. - Adjusted NDepend badges to reflect changes in code metrics after implementation. - Updated missing indicators report to reflect the completion of statistical indicators, including ZTEST.
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[](https://www.nuget.org/packages/QuanTAlib/)
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[](https://dotnet.microsoft.com/en-us/download/dotnet)
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[](lib/_index.md)
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Static code analysis provided by [ndepend](https://www.ndepend.com/):
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[](ndepend/ndependout/ndependreport.html)
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[](lib/_index.md)
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[](ndepend/ndependout/ndependreport.html)
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[](ndepend/ndependout/ndependreport.html)
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[](ndepend/ndependout/ndependreport.html)
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[](ndepend/ndependout/ndependreport.html)
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[](ndepend/ndependout/ndependreport.html)
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[](ndepend/ndependout/ndependreport.html)
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[](ndepend/ndependout/ndependreport.html)
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[](ndepend/ndependout/ndependreport.html)
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Static code analysis provided by [ndepend](https://www.ndepend.com/)
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# QuanTAlib - Quantitative Technical Indicators Without Compromises
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TA libraries face a fundamental choice: accept approximations for simplicity OR enforce math rigor. QuanTAlib chooses rigor.
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