Ticker Fundamentals Correlation Matrix
Pricing is based on a (1) single ticker fundamentals correlation matrix that is runs against available 10 year historical SEC quarterly filings. Includes up to 10 metrics for correlation analysis. See example image of output.
The correlation matrix is calculated using R script Power BI add-ins across all available historical quarterly SEC filings over the last 10 years. *If requests are for specific years please note this in the comments section when checking out.
A correlation is a statistical measure of the relationship between two variables. The measure is best used in variables that demonstrate a linear relationship between each other. The correlation coefficient is a value that indicates the strength of the relationship between variables. The coefficient can take any values from -1 to 1.
The interpretations of the values are:
- -1: Perfect negative correlation. The variables tend to move in opposite directions (i.e., when one variable increases, the other variable decreases).
- 0: No correlation. The variables do not have a relationship with each other.
- 1: Perfect positive correlation. The variables tend to move in the same direction (i.e., when one variable increases, the other variable also increases).
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