Research topic
ferro-wave
How Spread Foundry Uses Regime Context
FerroWave turns trailing market history into a versioned evidence pack. Spread Foundry uses that context to explain suitability and risk without treating a regime label as a forecast or hiding structurally valid spreads.
Wavelet Feature Extraction for Time-Series ML Pipelines
Wavelet transforms are useful before prediction begins: they turn non-stationary time series into scale-aware features that can feed ML and AI pipelines without hiding the time structure.