MORPHIQLABS

Topic

#wavelets

4 results

Quant Research11 min read

Advanced Signal Decompositions Need the Right Test

SWT, synchrosqueezing, EMD, VMD, and EWT are often placed in the same comparison table because they all decompose a signal. That makes them look like interchangeable candidates for one job. They are not.

MorphIQ Labs · Quant research#signal-processing#wavelets#empirical-mode-decomposition#time-frequency-analysis#research-methods
Quant Research10 min read

How to Evaluate a Market Regime Detector Without Fooling Yourself

Market-regime research is unusually easy to make convincing after the fact. Choose a familiar period, draw colored bands behind a price chart, and tell a story about what the model saw. A chart can look plausible even…

MorphIQ Labs · Quant research#regime-detection#wavelets#change-point-detection#research-methods
Ferro Suite1 min read

Wavelet Feature Extraction for Time-Series ML Pipelines

Time-series ML fails quietly when the feature layer ignores scale. A price series, volatility series, or sensor stream may look like one signal, but its behavior is usually a mixture of fast noise, medium-horizon stru…

MorphIQ Labs · Ferro Suite#wavelets#feature-extraction#machine-learning#ferro-wave
Quant Research4 min read

Wavelet-Domain Regime Detection with the MODWT

"The market changed" is the kind of statement that is obviously true and almost useless. Changed how fast? Changed in the minute-scale chop, or in the multi-day trend? A single rolling volatility number cannot tell yo…

MorphIQ Labs · Quant research#regime-detection#wavelets#time-series#volatility