# Moving average

Every second we store the values of a brownian motion (to the current value we add a random value taken from the standard gaussian distribution and store it).

Then we use the moving average stream aggregator, which is connected with the store. By using the stream aggregator, we can smooth the graph and get a clearer representation of the values we get. It is useful when we want to see how are the values changing by trying to minimize the noise of the data. Before we could use the stream aggregator, we needed to construct the time series window buffer stream aggregator, that is connected to the store. Then we connect the moving average to the time series window buffer.

The graphs bellow represent the brownian motion and the smoothen values gained by the moving average stream aggregator.