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Seasonal Analysis of WSFS (WSFS Financial Corporation)


Seasonal Analysis

Using data from 11/26/1986 to 8/10/2020 for WSFS (WSFS Financial Corporation), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy WSFS is March
Historically, the best month to sell WSFS is August

In January, WSFS is historically down by -3.00%
In February, WSFS is historically down by -3.27%
In March, WSFS is historically down by -4.30%
In April, WSFS is historically down by -2.25%
In May, WSFS is historically up by 0.62%
In June, WSFS is historically down by -0.40%
In July, WSFS is historically up by 3.40%
In August, WSFS is historically up by 4.52%
In September, WSFS is historically up by 0.48%
In October, WSFS is historically up by 2.51%
In November, WSFS is historically up by 1.24%
In December, WSFS is historically up by 0.46%

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

See Also: Fourier Analysis of WSFS
 
 
General Statistics
Number of Data Points1760
Start Date of Data11/26/1986
End Date of Data8/10/2020
Minimum Value of Adjusted Close0.34
Maximum Value of Adjusted Close54.67
Average Value of Adjusted Close12.92
Median Value of Adjusted Close8.61
Standard Deviation of Adjusted Close13.19
Coefficient of Variation for Adjusted Close 102.12%
  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 WSFS tends towards a value in the vicinity of 12.92 (the mean) and 8.61 (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 WSFS goes above 26.10 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of WSFS goes above 39.29 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



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