- 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 TEMA calculation in QuanTAlib with O(1) update complexity.
- Added validation tests for TEMA against Skender, TA-Lib, and Tulip indicators.
- Updated documentation for TEMA, including its mathematical foundation and usage examples.
- Enhanced existing tests for other indicators (TRIMA, WMA) to generate more records.
- Adjusted benchmark tests to include DEMA and TEMA comparisons.
- Refactored code for better readability and performance, including zero-allocation Span API.
- Introduced `TrimaVector` class for multi-period Triangular Moving Average (TRIMA) calculations, optimized for SIMD.
- Implemented last-value substitution for invalid inputs in TRIMA.
- Added methods for calculating TRIMA for entire series and individual updates.
- Enhanced `Wma` class with periodic resync to prevent floating-point drift and introduced SIMD optimizations for performance.
- Updated benchmark suite to include TRIMA calculations alongside existing SMA, EMA, and WMA benchmarks.
- Implemented zero-allocation methods for SMA, EMA, and WMA calculations using ReadOnlySpan and Span.
- Added unit tests for Span API to validate input, match TSeries calculations, handle NaN values, and ensure zero allocation.
- Enhanced documentation to include usage examples for the new Span API.
- Introduced performance benchmarks comparing the new Span API against existing TSeries implementations and other libraries.
Miha Kralj