Henry Schein retains Market Risk Adjusted Performance of (0.39) and Risk Adjusted Performance of (0.07). Henry Schein technical analysis makes it possible for you to employ historical prices and volume momentum with intention to determine a pattern that calculates the direction of the corporation future prices. In other words you can use this information to find out if the corporation will indeed mirror its model of historical price patterns or the prices will eventually revert. We found nineteen technical drivers for Henry Schein which can be compared to its competitors. Please check out Henry ScheinMaximum Drawdown, and the relationship between Information Ratio and Downside Variance to decide if Henry Schein is priced fairly providing market reflects its last-minute price of 80.52 per share. Given that Henry Schein has Jensen Alpha of (0.08), we strongly advise you confirm Henry Schein regular market performance to make sure the company can sustain itself at future point.
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Henry Schein 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.
Henry Schein Trend Analysis
Use this graph to draw trend lines for Henry Schein. You can use it to identify possible trend reversals for Henry Schein 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 Henry Schein price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Henry Schein Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Henry Schein applied against its price change over selected period. The best fit line has a slop of 0.09 % which means Henry Schein will continue generating value for investors. It has 78 observation points and a regression sum of squares at 83.68, which is the sum of squared deviations for the predicted Henry Schein price change compared to its average price change.
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