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Refactor documentation for various filters and indicators to enhance clarity and consistency
- Updated Bessel, Bilateral, Blma, Butter, Conv, Ema, Kama, LSMA, MAMA, MGDI, SSF, USF, ATR, ADL, and ADOSC documentation to use bullet points for key concepts and features. - Added a new Qodana configuration file for code analysis. - Removed coverage configuration from Quantower.Tests.csproj to streamline testing setup.
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@@ -18,9 +18,9 @@ $$\text{RMSLE} = \sqrt{\text{MSLE}}$$
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RMSLE values correspond directly to log-scale error:
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- RMSLE = 0.1 → approximately 10% ratio error
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- RMSLE = 0.69 → approximately 100% ratio error (2:1 or 1:2 ratio)
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- RMSLE = 1.0 → approximately 170% ratio error (~2.7:1 ratio)
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* RMSLE = 0.1 → approximately 10% ratio error
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* RMSLE = 0.69 → approximately 100% ratio error (2:1 or 1:2 ratio)
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* RMSLE = 1.0 → approximately 170% ratio error (~2.7:1 ratio)
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## Mathematical Foundation
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@@ -185,6 +185,6 @@ Small absolute values near zero can produce large RMSLE:
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## See Also
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- [MSLE](../msle/Msle.md) - Squared version without root
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- [RMSE](../rmse/Rmse.md) - Linear-scale root mean squared error
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- [MAPE](../mape/Mape.md) - Percentage error without log transform
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* [MSLE](../msle/Msle.md) - Squared version without root
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* [RMSE](../rmse/Rmse.md) - Linear-scale root mean squared error
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* [MAPE](../mape/Mape.md) - Percentage error without log transform
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