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

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Seasonal Analysis of ORLY (O'Reilly Automotive Inc)

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Seasonal Analysis

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Notes: "Adjusted Close" means closing price was adjusted for splits
and dividends; Weekly (not daily) Adjusted close price was used for calculations;

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 ORLYGeneral Statistics | |

Number of Data Points | 932 |

Start Date of Data | 1/3/2000 |

End Date of Data | 11/6/2017 |

Minimum Value of Adjusted Close | 5.00 |

Maximum Value of Adjusted Close | 290.63 |

Average Value of Adjusted Close | 78.73 |

Median Value of Adjusted Close | 35.43 |

Standard Deviation of Adjusted Close | 83.08 |

Coefficient of Variation for Adjusted Close | 105.51% |

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.

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.

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