- 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.
- Updated SMA validation tests to include separate methods for Skender and TA-Lib with batch, streaming, and span calculations.
- Enhanced WMA validation tests similarly, ensuring comprehensive coverage for Skender and TA-Lib.
- Improved verification helper methods for better clarity and maintainability.
- Added Wma class for calculating the Weighted Moving Average with detailed documentation and optimized performance using dual running sums.
- Introduced WmaVector class to handle multiple WMAs simultaneously, supporting batch calculations and real-time updates.
- Implemented last-value substitution for handling invalid inputs (NaN/Infinity) in both classes.
- Created comprehensive unit tests for Wma and WmaVector to ensure accuracy and reliability of calculations.
- Updated documentation to include usage examples, mathematical foundations, and performance characteristics.
Miha Kralj