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

Seasonal Analysis of ORLY (O'Reilly Automotive Inc)


Seasonal Analysis

Using data from 1/3/2000 to 11/6/2017 for ORLY (O'Reilly Automotive Inc), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy ORLY is January
Historically, the best month to sell ORLY is December

In January, ORLY is historically down by -11.18%
In February, ORLY is historically down by -8.11%
In March, ORLY is historically down by -5.35%
In April, ORLY is historically down by -2.66%
In May, ORLY is historically down by -0.59%
In June, ORLY is historically up by 0.75%
In July, ORLY is historically up by 0.73%
In August, ORLY is historically up by 2.55%
In September, ORLY is historically up by 1.80%
In October, ORLY is historically down by -0.62%
In November, ORLY is historically up by 11.00%
In December, ORLY is historically up by 11.67%

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

See Also: Fourier Analysis of ORLY
 
 
General Statistics
Number of Data Points932
Start Date of Data1/3/2000
End Date of Data11/6/2017
Minimum Value of Adjusted Close5.00
Maximum Value of Adjusted Close290.63
Average Value of Adjusted Close78.73
Median Value of Adjusted Close35.43
Standard Deviation of Adjusted Close83.08
Coefficient of Variation for Adjusted Close 105.51%
  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 ORLY tends towards a value in the vicinity of 78.73 (the mean) and 35.43 (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 ORLY goes above 161.81 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of ORLY goes above 244.89 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



Back to list of Stocks