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.
This commit is contained in:
Miha Kralj
2025-12-31 23:39:47 -08:00
parent 11f4ec2497
commit d493bfd42f
175 changed files with 11977 additions and 897 deletions
+6 -6
View File
@@ -12,10 +12,10 @@ $$RMSE = \sqrt{\frac{1}{n} \sum_{i=1}^{n} (y_i - \hat{y}_i)^2} = \sqrt{MSE}$$
## Properties
- **Non-negative**: RMSE ≥ 0
- **Same units**: Unlike MSE, RMSE is in original data units
- **Outlier sensitive**: Inherits MSE's penalty for large errors
- **Always ≥ MAE**: RMSE ≥ MAE due to Jensen's inequality
* **Non-negative**: RMSE ≥ 0
* **Same units**: Unlike MSE, RMSE is in original data units
* **Outlier sensitive**: Inherits MSE's penalty for large errors
* **Always ≥ MAE**: RMSE ≥ MAE due to Jensen's inequality
## Usage
@@ -37,5 +37,5 @@ var results = Rmse.Calculate(actualSeries, predictedSeries, period: 20);
## Related Indicators
- [MSE](../mse/Mse.md) - Mean Squared Error
- [MAE](../mae/Mae.md) - Mean Absolute Error
* [MSE](../mse/Mse.md) - Mean Squared Error
* [MAE](../mae/Mae.md) - Mean Absolute Error