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Seasonal Analysis of WINS (Wins Finance Holdings Inc)


Seasonal Analysis

Using data from 11/4/2014 to 12/2/2019 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 November
Historically, the best month to sell WINS is January

In January, WINS is historically up by 62.17%
In February, WINS is historically up by 38.94%
In March, WINS is historically up by 54.60%
In April, WINS is historically up by 25.35%
In May, WINS is historically down by -22.31%
In June, WINS is historically down by -11.94%
In July, WINS is historically down by -21.17%
In August, WINS is historically down by -7.78%
In September, WINS is historically down by -22.00%
In October, WINS is historically down by -28.52%
In November, WINS is historically down by -34.22%
In December, WINS is historically down by -33.12%

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 Points203
Start Date of Data11/4/2014
End Date of Data12/2/2019
Minimum Value of Adjusted Close6.71
Maximum Value of Adjusted Close337.39
Average Value of Adjusted Close59.42
Median Value of Adjusted Close24.10
Standard Deviation of Adjusted Close73.98
Coefficient of Variation for Adjusted Close 124.51%
  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 59.42 (the mean) and 24.10 (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 133.40 (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 207.38 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



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