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Anomaly status of the latest point, true means the latest point is an anomaly either in negative direction or positive direction.
Anomaly status in negative direction of the latest point. True means the latest point is an anomaly and its real value is smaller than the expected one.
Anomaly status in positive direction of the latest point. True means the latest point is an anomaly and its real value is larger than the expected one.
Lower margin of the latest point. LowerMargin is used to calculate lowerBoundary, which equals to expectedValue - (100 - marginScale)*lowerMargin.
Frequency extracted from the series, zero means no recurrent pattern has been found.
Suggested input series points needed for detecting the latest point.
Upper margin of the latest point. UpperMargin is used to calculate upperBoundary, which equals to expectedValue + (100 - marginScale)*upperMargin. If the value of latest point is between upperBoundary and lowerBoundary, it should be treated as normal value. By adjusting marginScale value, anomaly status of latest point can be changed.
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Expected value of the latest point.