Visa has Coefficient Of Variation of 1,475 and Risk Adjusted Performance of 0.08. In relation to Fundamental Indicators, Macroaxis technical analysis interface makes it possible for you to check existing technical drivers of Visa as well as the relationship between them. In other words you can use this information to find out if the company will indeed mirror its model of past prices and volume data or the prices will eventually revert. We found nineteen technical drivers for Visa which can be compared to its competition. Please validate VisaValue At Risk as well as the relationship between Semi Variance and Kurtosis to decide if Visa is priced more or less accurately providing market reflects its prevalent price of 140.18 per share. Given that Visa has Jensen Alpha of 0.048462, we advise you double-check Visa current market performance to make sure the company can sustain itself at future point.
The output start index for this execution was seven with a total number of output elements of ten. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Visa volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.
Visa Trend Analysis
Use this graph to draw trend lines for Visa. You can use it to identify possible trend reversals for Visa as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Visa price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Visa Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Visa applied against its price change over selected period. The best fit line has a slop of 0.06 % which may imply that the price for Visa will drop even more. It has 34 observation points and a regression sum of squares at 2.6, which is the sum of squared deviations for the predicted Visa price change compared to its average price change.
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