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

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Seasonal Analysis of NCLIP (NCLIP)

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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 1/1/0001 to 1/1/0001 for NCLIP (NCLIP), this program was able to calculate the following historical seasonal cycles for this stock:

Historically, the best month to buy NCLIP is N/A

Historically, the best month to sell NCLIP is N/A

In January, NCLIP is historically up by 0%

In February, NCLIP is historically up by 0%

In March, NCLIP is historically up by 0%

In April, NCLIP is historically up by 0%

In May, NCLIP is historically up by 0%

In June, NCLIP is historically up by 0%

In July, NCLIP is historically up by 0%

In August, NCLIP is historically up by 0%

In September, NCLIP is historically up by 0%

In October, NCLIP is historically up by 0%

In November, NCLIP is historically up by 0%

In December, NCLIP is historically up by 0%

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

See Also: Fourier Analysis of NCLIP
The average ("mean") and median are measures of central tendency.

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.

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.

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