wickra

Files

T

kingchenc 2454d7cf92 feat(alma): add Arnaud Legoux Moving Average

Gaussian-weighted moving average with configurable centre (offset in
[0, 1]) and kernel width (sigma > 0). Pre-computes normalised weights
at construction so each update is a single rolling window dot product.

Reference: Arnaud Legoux and Dimitrios Kouzis-Loukas, 2009.

Touchpoints:
- crates/wickra-core: alma.rs + mod.rs + lib.rs re-export
- bindings/python: PyAlma + __init__.py + test_new_indicators +
  test_known_values reference
- bindings/node: AlmaNode + index.d.ts/index.js + indicators.test.js
  factory + reference value
- bindings/wasm: wasm_scalar_indicator! macro
- fuzz: indicator_update target covers ALMA(9, 0.85, 6.0)
- crates/wickra/benches: bench_scalar entry
- README + CHANGELOG: Moving Averages row + Unreleased entry

2026-05-24 12:21:18 +02:00

__init__.py

Wickra 0.1.0: streaming-first technical indicators

2026-05-21 17:50:45 +02:00

conftest.py

Wickra 0.1.0: streaming-first technical indicators

2026-05-21 17:50:45 +02:00

test_input_validation.py

B9: raise ValueError instead of panicking on non-contiguous arrays

2026-05-22 04:14:11 +02:00

test_known_values.py

feat(alma): add Arnaud Legoux Moving Average