Back to list of Stocks    See Also: Fourier Analysis of ZBRAGenetic Algorithms Stock Portfolio Generator, and Best Months to Buy/Sell Stocks

Seasonal Analysis of ZBRA (Zebra Technologies Corporation)


Seasonal Analysis

Using data from 8/15/1991 to 7/26/2021 for ZBRA (Zebra Technologies Corporation), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy ZBRA is January
Historically, the best month to sell ZBRA is November

In January, ZBRA is historically down by -8.88%
In February, ZBRA is historically down by -5.76%
In March, ZBRA is historically down by -2.79%
In April, ZBRA is historically down by -4.36%
In May, ZBRA is historically down by -0.80%
In June, ZBRA is historically up by 0.91%
In July, ZBRA is historically down by -0.82%
In August, ZBRA is historically up by 2.28%
In September, ZBRA is historically up by 1.58%
In October, ZBRA is historically up by 2.65%
In November, ZBRA is historically up by 9.53%
In December, ZBRA is historically up by 6.44%

Right click on the graph above to see the menu of operations (download, full screen, etc.)

See Also: Fourier Analysis of ZBRA
 
 
General Statistics
Number of Data Points1564
Start Date of Data8/15/1991
End Date of Data7/26/2021
Minimum Value of Adjusted Close3.28
Maximum Value of Adjusted Close552.48
Average Value of Adjusted Close60.03
Median Value of Adjusted Close34.00
Standard Deviation of Adjusted Close85.15
Coefficient of Variation for Adjusted Close 141.84%
  Notes: "Adjusted Close" means closing price was adjusted for splits and dividends; Weekly (not daily) Adjusted close price was used for calculations; 
The average ("mean") and median are measures of central tendency.

For the given time period, the price of ZBRA tends towards a value in the vicinity of 60.03 (the mean) and 34.00 (the median).

Standard Deviation and Coefficient Of Variation are measures of dispersion. These can be used to measure the volatility (risk) of a security, and also to estimate the expected ranges of the price.

Assuming a normal distribution, we expect to see 68% of values within one Standard Deviation of the mean (average), 95% of the values within two standard deviations of the mean, and 99% of the values within three standard deviations of the mean.

If the price of ZBRA goes above 145.17 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of ZBRA goes above 230.32 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



Back to list of Stocks