Rolling windows and shifts

rolling(n) creates a moving window over the previous n rows. It is how you smooth noisy daily series into a readable trend.

shift moves values along the index, so pct_change and diff give day-over-day change. expanding() accumulates from the start instead of a fixed window.

Sort by time before any rolling or shift operation. On unsorted data the results are silently wrong rather than an error.