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# Seq. Sequential QQ MM

Fundamental Analysis Term

Seq. Sequential QQ MM, also known as Sequential Quartile Mean-Mean, is a statistical method used in Fundamental Analysis to identify trends or changes in a time series. It is a variation of the sequential sampling technique, which involves taking multiple small samples from a population over time and analyzing the data.

The Seq. Sequential QQ MM method involves dividing a time series into equal parts (quartiles) and calculating the mean of each part. The mean of the first quartile is then subtracted from the mean of the second quartile, and the result is divided by the standard deviation of the entire time series. This calculation is repeated for each subsequent quartile, resulting in a series of values.

If the values are positive, it suggests that the data is trending upward, and if negative, it suggests that the data is trending downward. If the values fluctuate around zero, it suggests that there is no clear trend in the data.

The formula for Seq. Sequential QQ MM is:

(SQM i - SQM i-1) / SD(X)

Where:
SQM i = sequential quartile mean of the i-th quartile
SD(X) = standard deviation of the entire time series.

# Seq. Sequential QQ MM

Fundamental Analysis Term

Seq. Sequential QQ MM, also known as Sequential Quartile Mean-Mean, is a statistical method used in Fundamental Analysis to identify trends or changes in a time series. It is a variation of the sequential sampling technique, which involves taking multiple small samples from a population over time and analyzing the data.

The Seq. Sequential QQ MM method involves dividing a time series into equal parts (quartiles) and calculating the mean of each part. The mean of the first quartile is then subtracted from the mean of the second quartile, and the result is divided by the standard deviation of the entire time series. This calculation is repeated for each subsequent quartile, resulting in a series of values.

If the values are positive, it suggests that the data is trending upward, and if negative, it suggests that the data is trending downward. If the values fluctuate around zero, it suggests that there is no clear trend in the data.

The formula for Seq. Sequential QQ MM is:

(SQM i - SQM i-1) / SD(X)

Where:
SQM i = sequential quartile mean of the i-th quartile
SD(X) = standard deviation of the entire time series.

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