I'm trying to write an online algorithm in Python to detect this below Down-Up-Down pattern in time-series.
It's not hard to do roughly if I calculate 3 contiguous non-overlapping moving averages, and just check that the first and last are both
< -X, and the middle one is
But this has many downsides. For example, the time frames need to be strictly hardcoded. And, it ignores intrawindow variation that may obviously invalidate the overall pattern if a human were to eyeball it as a sense check.
What can I do? Wavelets aren't ideal because of edge effects .. I need an online algorithm that computes in real-time.