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

Seasonal Analysis of XLY (Consumer Discretionary Select Sector SPDR Fund)


Seasonal Analysis

Using data from 12/22/1998 to 7/26/2021 for XLY (Consumer Discretionary Select Sector SPDR Fund), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy XLY is January
Historically, the best month to sell XLY is December

In January, XLY is historically down by -4.49%
In February, XLY is historically down by -3.54%
In March, XLY is historically down by -2.60%
In April, XLY is historically up by 0.03%
In May, XLY is historically down by -0.53%
In June, XLY is historically down by -0.39%
In July, XLY is historically up by 2.99%
In August, XLY is historically down by -0.75%
In September, XLY is historically up by 0.18%
In October, XLY is historically up by 0.25%
In November, XLY is historically up by 3.54%
In December, XLY is historically up by 5.31%

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

See Also: Fourier Analysis of XLY
 
 
General Statistics
Number of Data Points1180
Start Date of Data12/22/1998
End Date of Data7/26/2021
Minimum Value of Adjusted Close13.67
Maximum Value of Adjusted Close183.27
Average Value of Adjusted Close51.03
Median Value of Adjusted Close30.98
Standard Deviation of Adjusted Close38.80
Coefficient of Variation for Adjusted Close 76.02%
  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 XLY tends towards a value in the vicinity of 51.03 (the mean) and 30.98 (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 XLY goes above 89.83 (mean + 1 standard deviation) or below 12.23 (mean - 1 standard deviation), then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of XLY goes above 128.63 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



Back to list of Stocks