• Data smoothing uses an algorithm to remove noise from a data set, allowing you to highlight important patterns.

  • Data smoothing can be used to predict trends, such as those seen in security prices.
  • Various data smoothing models include a random method using moving averages.
  • While data smoothing can help predict certain trends, it will inherently reduce the amount of information in the sample, which can result in certain data points being ignored.