- Introduced Cma class for calculating the Cumulative Moving Average using Welford's algorithm with FMA for precision.
- Added methods for batch processing and streaming updates.
- Implemented a comprehensive markdown documentation for CMA, covering its mathematical foundation, performance profile, and use cases.
- Enhanced existing trend indicators (Bessel, Butter, Htit, Jma, Mama, Ssf, Vidya) with FMA for improved numerical stability and precision.
- Updated Adosc to utilize a single-pass algorithm for performance optimization.
- Fixed date initialization in benchmarks to ensure UTC consistency.
- Cleaned up code by removing unused using directives from various test and implementation files in the trends and volume directories.
- This includes files related to HMA, HTIT, JMA, KAMA, LSMA, MAMA, MGDI, PWMA, RMA, SMA, SSF, SUPER, T3, TEMA, TRIMA, USF, VIDYA, WMA, ATR, ADL, and ADOSC.
- Improved code readability and maintainability by streamlining imports.
- Updated event handler signatures to use TValueEventArgs for consistency in Mama, Mgdi, Pwma, Rma, Sma, Ssf, Super, T3, Tema, Trima, Usf, Vidya, Wma, and Atr classes.
- Enhanced argument validation by specifying parameter names in exceptions for clarity.
- Adjusted tests to align with new event handler signatures.
- Improved code readability and maintainability by using structured records and lambda expressions.
Miha Kralj