Files
QuanTAlib/.codacy/codacy.yaml
T
Miha Kralj 3ed35322a5 Add TRIMA implementation and benchmarks; optimize WMA with SIMD
- 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.
2025-12-04 13:05:56 -08:00

7 lines
99 B
YAML

runtimes:
- python@3.11.11
tools:
- lizard@1.17.31
- semgrep@1.78.0
- trivy@0.66.0