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

Seasonal Analysis of WNMLA (Winmill & Co. Incorporated)


Seasonal Analysis

Using data from 4/14/1980 to 8/9/2021 for WNMLA (Winmill & Co. Incorporated), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy WNMLA is October
Historically, the best month to sell WNMLA is January

In January, WNMLA is historically up by 5.37%
In February, WNMLA is historically down by -3.56%
In March, WNMLA is historically up by 1.72%
In April, WNMLA is historically up by 5.06%
In May, WNMLA is historically up by 5.15%
In June, WNMLA is historically up by 2.66%
In July, WNMLA is historically up by 4.04%
In August, WNMLA is historically down by -2.12%
In September, WNMLA is historically down by -2.79%
In October, WNMLA is historically down by -6.18%
In November, WNMLA is historically down by -3.29%
In December, WNMLA is historically down by -6.06%

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

See Also: Fourier Analysis of WNMLA
 
 
General Statistics
Number of Data Points1817
Start Date of Data4/14/1980
End Date of Data8/9/2021
Minimum Value of Adjusted Close0.53
Maximum Value of Adjusted Close18.65
Average Value of Adjusted Close3.48
Median Value of Adjusted Close2.45
Standard Deviation of Adjusted Close2.86
Coefficient of Variation for Adjusted Close 82.15%
  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 WNMLA tends towards a value in the vicinity of 3.48 (the mean) and 2.45 (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 WNMLA goes above 6.34 (mean + 1 standard deviation) or below 0.62 (mean - 1 standard deviation), then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of WNMLA goes above 9.20 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



Back to list of Stocks