The article presents a method to adjust economic time series data recorded weekly, even when the number of weeks and recording days vary. By using a structural time series model, the researchers can track changes in seasonal patterns over time and extract trends. This allows for accurate seasonal adjustment using filtering and smoothing algorithms. The approach was demonstrated with a Bank of England money supply series.