ts-decomposition

Decompose a time series into trend / seasonal / noise (STL with a shuffled-null calibration so pseudo-cycles don't masquerade as seasonality) and test the classic calendar effects — day-of-week and turn-of-month — with HAC p-values plus an honest fixed-window TOM backtest vs buy & hold. Use when ask