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Seasonal Analysis of WINS (Wins Finance Holdings Inc)


Seasonal Analysis

Using data from 11/4/2014 to 6/22/2020 for WINS (Wins Finance Holdings Inc), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy WINS is December
Historically, the best month to sell WINS is January

In January, WINS is historically up by 56.77%
In February, WINS is historically up by 45.78%
In March, WINS is historically up by 44.81%
In April, WINS is historically down by -24.57%
In May, WINS is historically down by -20.21%
In June, WINS is historically up by 32.66%
In July, WINS is historically down by -17.29%
In August, WINS is historically down by -5.28%
In September, WINS is historically down by -19.89%
In October, WINS is historically down by -26.58%
In November, WINS is historically down by -32.44%
In December, WINS is historically down by -33.75%

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

See Also: Fourier Analysis of WINS
 
 
General Statistics
Number of Data Points232
Start Date of Data11/4/2014
End Date of Data6/22/2020
Minimum Value of Adjusted Close6.71
Maximum Value of Adjusted Close337.39
Average Value of Adjusted Close53.63
Median Value of Adjusted Close21.36
Standard Deviation of Adjusted Close70.93
Coefficient of Variation for Adjusted Close 132.24%
  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 WINS tends towards a value in the vicinity of 53.63 (the mean) and 21.36 (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 WINS goes above 124.56 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of WINS goes above 195.49 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



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