Abstract: Aspects of this technical solution can segment a first time period for the first series into a second time period bounded by a first time stamp and a second time stamp later than the first time stamp, and into a third time period bounded by a third time stamp later than the second timestamp and a fourth time stamp later than the third time stamp, determine a metric for the third time period and based on first data points of a training data set for the first series and having time stamps bounded by the first time stamp and the second time stamp within the second time period, generate data points within the third time period based on the first metric and generate data points corresponding to a performance of a second series subsequent to the prediction time stamp.