V.1:2 (36-38): Moving Averages
Product Description
Moving Averages
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.
MATHEMATICALLY:
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.
MATHEMATICALLY:
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