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

#
Seasonal Analysis of YY (JOYY Inc)

##
Seasonal Analysis

(adsbygoogle = window.adsbygoogle || []).push({});

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 11/21/2012 to 7/26/2021 for YY (JOYY Inc), this program was able to calculate the following historical seasonal cycles for this stock:

Historically, the best month to buy YY is November

Historically, the best month to sell YY is August

In January, YY is historically up by 1.20%

In February, YY is historically down by -8.06%

In March, YY is historically up by 3.78%

In April, YY is historically down by -5.15%

In May, YY is historically down by -3.15%

In June, YY is historically up by 2.56%

In July, YY is historically down by -0.13%

In August, YY is historically up by 15.13%

In September, YY is historically up by 9.99%

In October, YY is historically up by 4.35%

In November, YY is historically down by -10.42%

In December, YY is historically down by -10.10%

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

See Also: Fourier Analysis of YYGeneral Statistics | |

Number of Data Points | 454 |

Start Date of Data | 11/21/2012 |

End Date of Data | 7/26/2021 |

Minimum Value of Adjusted Close | 11.07 |

Maximum Value of Adjusted Close | 136.84 |

Average Value of Adjusted Close | 64.50 |

Median Value of Adjusted Close | 61.95 |

Standard Deviation of Adjusted Close | 23.75 |

Coefficient of Variation for Adjusted Close | 36.82% |

The average ("mean") and median are measures of central tendency.

For the given time period, the price of YY tends towards a value in the vicinity of 64.50 (the mean) and 61.95 (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 YY goes above 88.25 (mean + 1 standard deviation) or below 40.75 (mean - 1 standard deviation), then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of YY goes above 112.01 (mean + 2 standard deviations) or below 16.99 (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 YY tends towards a value in the vicinity of 64.50 (the mean) and 61.95 (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 YY goes above 88.25 (mean + 1 standard deviation) or below 40.75 (mean - 1 standard deviation), then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of YY goes above 112.01 (mean + 2 standard deviations) or below 16.99 (mean - 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.

Problems, Comments, Suggestions? Click here to contact Greg Thatcher

Please read my Disclaimer,
Privacy Policy,
and Terms and Conditions

Copyright (c) 2013 Thatcher Development Software, LLC. All rights reserved. No claim to original U.S. Gov't works.