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Seasonal Analysis of WMB (The Williams Companies)


Seasonal Analysis

Using data from 3/17/1980 to 4/12/2021 for WMB (The Williams Companies), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy WMB is January
Historically, the best month to sell WMB is December

In January, WMB is historically down by -10.69%
In February, WMB is historically down by -8.35%
In March, WMB is historically down by -5.05%
In April, WMB is historically down by -2.29%
In May, WMB is historically down by -0.35%
In June, WMB is historically up by 1.12%
In July, WMB is historically up by 3.47%
In August, WMB is historically up by 5.30%
In September, WMB is historically up by 4.32%
In October, WMB is historically up by 3.91%
In November, WMB is historically up by 2.96%
In December, WMB is historically up by 5.64%

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

See Also: Fourier Analysis of WMB
 
 
General Statistics
Number of Data Points2144
Start Date of Data3/17/1980
End Date of Data4/12/2021
Minimum Value of Adjusted Close0.09
Maximum Value of Adjusted Close40.04
Average Value of Adjusted Close7.87
Median Value of Adjusted Close2.71
Standard Deviation of Adjusted Close9.64
Coefficient of Variation for Adjusted Close 122.55%
  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 WMB tends towards a value in the vicinity of 7.87 (the mean) and 2.71 (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 WMB goes above 17.51 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of WMB goes above 27.15 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



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