- 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.
- Introduced the Ultimate Oscillator (UltOsc) indicator with detailed mathematical foundation and performance profile.
- Added historical context and common pitfalls for better user understanding.
- Implemented Bilateral filter with enhanced update methods and batch calculations.
- Updated Blackman Moving Average (BLMA) with improved handling of NaN values and batch processing capabilities.
- Created unit tests for AmatIndicator to ensure proper functionality and signal generation.
- Integrated AmatIndicator into the Quantower platform with appropriate line series for trend and strength visualization.
- Updated project file to include new indicator implementations.
- Implemented AFIRMA (Autoregressive Finite Impulse Response Moving Average) class with support for various window types and batch processing.
- Created unit tests for AFIRMA to validate internal consistency, streaming, and batch processing.
- Added comprehensive documentation for AFIRMA, including usage examples, performance profile, and parameter selection guide.
- Removed obsolete omnisharp.json configuration file.
- Implemented Aroon Indicator with constructor, initialization, and update methods.
- Added unit tests for AroonIndicator to verify default settings, historical depth, short name, source code link, and processing of historical bars.
- Created Aroon class for core calculations, including methods for updating with TBar and TBarSeries.
- Added validation tests to ensure Aroon calculations match results from Skender and TA-Lib.
- Updated documentation for Aroon Indicator with calculation methods and usage examples.
- Refactored Dema and Wma classes to use Batch methods for calculations.
- Enhanced performance benchmarks by increasing bar count and integrating OoplesFinance indicators.
- Updated project dependencies to include OoplesFinance.StockIndicators.
- Implemented the HTIT indicator in Htit.cs, utilizing the Hilbert Transform for trend analysis.
- Added unit tests for HTIT validation against TA-Lib, Skender, and Ooples implementations in Htit.Validation.Tests.cs.
- Created documentation for HTIT in Htit.md, detailing its core concepts, formula, parameters, usage, and interpretation.
Miha Kralj