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Seasonal Analysis of SSNLF (SAMSUNG ELECT LTD(F))


Seasonal Analysis

Using data from 5/15/2009 to 2/12/2018 for SSNLF (SAMSUNG ELECT LTD(F)), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy SSNLF is January
Historically, the best month to sell SSNLF is December

In January, SSNLF is historically down by -20.26%
In February, SSNLF is historically down by -20.26%
In March, SSNLF is historically down by -20.26%
In April, SSNLF is historically down by -20.26%
In May, SSNLF is historically down by -20.26%
In June, SSNLF is historically down by -11.09%
In July, SSNLF is historically up by 11.92%
In August, SSNLF is historically up by 1.62%
In September, SSNLF is historically down by -0.32%
In October, SSNLF is historically up by 17.62%
In November, SSNLF is historically up by 17.77%
In December, SSNLF is historically up by 63.76%

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

See Also: Fourier Analysis of SSNLF
 
 
General Statistics
Number of Data Points458
Start Date of Data5/15/2009
End Date of Data2/12/2018
Minimum Value of Adjusted Close0.00
Maximum Value of Adjusted Close2450.00
Average Value of Adjusted Close221.30
Median Value of Adjusted Close0.00
Standard Deviation of Adjusted Close634.32
Coefficient of Variation for Adjusted Close 286.63%
  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 SSNLF tends towards a value in the vicinity of 221.30 (the mean) and 0.00 (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 SSNLF goes above 855.62 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of SSNLF goes above 1,489.94 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



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