Aggregate PAID order revenue per day (days with no paid orders don't enter the series), then compute a trailing 3-row moving average — the current day plus the 2 preceding revenue days. Emit NULL for the first two days (until at least 3 data points have accumulated) — the "min-periods" rule that pandas/numpy users will recognize.
Round non-null values to 2 decimals.
Sort by day ascending.