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Seasonal Analysis of XSNX (NovAccess Global Inc)


Seasonal Analysis

Using data from 5/1/2002 to 7/26/2021 for XSNX (NovAccess Global Inc), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy XSNX is December
Historically, the best month to sell XSNX is January

In January, XSNX is historically up by 25.54%
In February, XSNX is historically up by 25.54%
In March, XSNX is historically up by 18.09%
In April, XSNX is historically up by 11.51%
In May, XSNX is historically up by 5.45%
In June, XSNX is historically up by 5.45%
In July, XSNX is historically down by -0.20%
In August, XSNX is historically down by -9.61%
In September, XSNX is historically down by -9.61%
In October, XSNX is historically down by -9.61%
In November, XSNX is historically down by -24.68%
In December, XSNX is historically down by -37.86%

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

See Also: Fourier Analysis of XSNX
 
 
General Statistics
Number of Data Points960
Start Date of Data5/1/2002
End Date of Data7/26/2021
Minimum Value of Adjusted Close0.00
Maximum Value of Adjusted Close2.50
Average Value of Adjusted Close0.21
Median Value of Adjusted Close0.07
Standard Deviation of Adjusted Close0.32
Coefficient of Variation for Adjusted Close 155.36%
  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 XSNX tends towards a value in the vicinity of 0.21 (the mean) and 0.07 (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 XSNX goes above 0.52 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of XSNX goes above 0.84 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



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