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QuanTAlib/lib/averages/todo.md
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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

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todo

  • DEMA (Double Exponential Moving Average)
  • TEMA (Triple Exponential Moving Average)
  • KAMA (Kaufman Adaptive Moving Average)
  • T3 (T3)
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