QuanTAlib

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Miha Kralj 16a21a5b65 feat: Add Cumulative Moving Average (CMA) implementation with detailed documentation

- 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.

2025-12-29 09:34:37 -08:00

_sidebar.md

feat: Add Cumulative Moving Average (CMA) implementation with detailed documentation

2025-12-29 09:34:37 -08:00

api.md

Refactor code formatting and improve consistency across various test files

2025-12-28 17:44:08 -08:00

architecture.md

Refactor documentation to remove "Zero-Allocation Design" sections across various trend indicators and implement a PowerShell script for automated cleanup

2025-12-21 14:37:44 -08:00

benchmarks.md

feat(statistics): add Variance indicator with O(1) calculation and usage example