Multi-Scale · Co-movement
wavelet_coherence
Wavelet Coherence (MODWT, by scale). Cross-wavelet squared coherence between two return series at each MODWT time-scale (d1≈2-4d … long horizons): how strongly two markets co-move at short vs long horizons. Transparent waveslim realisation.
Identity
version 1.0.0 · capability multi-scale · min_obs 256 · runner r (wavelet_coherence.R)
Primitives
P2
Composes with
not yet a catalog field — operator-composition metadata lands with Pathway F; nothing is invented here.
Parameters
| name | type | req | values / range |
|---|
| series | series (n=2) | required | |
| levels | int | optional | |
Returns
method,dataset,series,wavelet,levels,n,per_scale,horizons,aggregate_coherence,peak_scale,interpretation,note
Paper
none — honest: a substrate method; no single companion paper claims it.
Changelog
[object Object]
Run it
curl -s -X POST https://shssm-compute-b7ui3oxaqq-el.a.run.app/api/compute/run \
-H "Content-Type: application/json" \
-d '{"method":"wavelet_coherence","params":{"series":["India","USA"]}}'