The Part-It model partitions time series data into statistically significant segments. Partitioning significant "eras" improves statistical consistency within subsets.
Rational analysis requires consistent data sets. Without consistency, statistical aggregates are ill-defined, findings are dubious and inference may be spurious.
Part-It applications range from testing for volatility changes, to direct price trend segmentation.
Part-It defines such changes objectively, identifying points of maximum stochastic separation, and probability of change. Objective analysis avoids costly "eyeball" errors.
NOTICE: The web-site Part-It simulation is being enhanced for better user interface and not currently on line. The underlying model is available for project studies any time.
To enquire about Part-It applications with your own data and funds, you can leave a message back at the Models page, or use the master checklist of Analytix Services. Or call directly anytime, at (603) 643-6430.