Moving averages

A moving average is a time series analysis technique that is commonly used to smooth out fluctuations in the data and identify trends or patterns. In SQL, a moving average can be calculated using a window function. A moving average is the average of a fixed number of the most recent data points in a time series. For example, a 3-month moving average for monthly sales data would be the average of the most recent 3 months of sales data. As new data becomes available, the moving average “moves” forward, with the oldest data point being dropped from the calculation and the newest data point being added. A moving average is important because it helps to remove noise or fluctuations in the data and provides a clearer view of underlying trends or patterns. This is especially useful in identifying seasonal or cyclical patterns, as well as longer-term trends in the data. Moreover, moving averages can also help to identify turning points or changes in the direction...