Business wise this is a bank account that has a daily increase in the morning, and a drop in the afternoon. The ML model should learn the model and the course ( the attached ML example learns this after 4 days), and then continuously monitor whether the values are in certain bands, if not, send an alert to management.
Here, we assumed that we have outlier boundary around 11:00 PM on first day:
