In our studies of stock or commodity time series data, i.e. a stream of successive daily closes (highs,
lows, volume), we are constantly reminded of moving averages and their application. A moving average
is one of the simplest and most often used smoothing or filtering methods available. All that is required is
that one choose a number of days, N, that you intend to average your data by and plot that average
coincident with the last day of data.