In order to begin analyzing applicable data, it is necessary to first determine which market segment will be analyzed. An example of sectors can include a focus on a particular industry, such as the automotive or pharmaceuticals sector, as well as a particular type of investment, such as the bond market . Once the sector has been selected, it is possible to examine the general performance of the sector. This can include how the sector was affected by internal and external forces. For example changes in a similar industry or the creation of a new governmental regulation would qualify as forces impacting the market. Analysts then take this data and attempt to predict the direction the market will take moving forward.
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In statistics , trend analysis often refers to techniques for extracting an underlying pattern of behavior in a time series which would otherwise be partly or nearly completely hidden by noise . If the trend can be assumed to be linear, trend analysis can be undertaken within a formal regression analysis , as described in Trend estimation . If the trends have other shapes than linear, trend testing can be done by non-parametric methods, . Mann-Kendall test, which is a version of Kendall rank correlation coefficient . For testing and visualization of nonlinear trends also smoothing can be used.