As of 24 of August Automatic Data shows Mean Deviation of 1.03 and Risk Adjusted Performance of 0.0021. Automatic Data Proce technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm future prices. In plain English you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for Automatic Data Processing which can be compared to its rivals. Please confirm Automatic Data Proce Variance, Maximum Drawdown as well as the relationship between Maximum Drawdown and Semi Variance to decide if Automatic Data Proce is priced correctly providing market reflects its regular price of 169.69 per share. Given that Automatic Data has Jensen Alpha of 0.0906, we suggest you validate Automatic Data Processing prevailing market performance to make sure the company can sustain itself at future point.
Automatic Data Processing current and past analyst recommendations published by number of research institutions as well as average analyst consensus
|Target Price||Advice||# of Analysts|
|Automatic Data Analyst Advice|
|Horizon||30 Days Login to change|
Automatic Data Proce Technical Analysis
Automatic Data Proce Trend AnalysisUse this graph to draw trend lines for Automatic Data Processing. You can use it to identify possible trend reversals for Automatic Data 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 Automatic Data price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Automatic Data Best Fit Change LineThe following chart estimates an ordinary least squares regression model for Automatic Data Processing applied against its price change over selected period. The best fit line has a slop of 0.08 % which may imply that Automatic Data Processing will maintain its good market sentiment and make money for investors. It has 78 observation points and a regression sum of squares at 68.73, which is the sum of squared deviations for the predicted Automatic Data price change compared to its average price change.
Automatic Data August 24, 2019 Technical Indicators
|Risk Adjusted Performance||0.0021|
|Market Risk Adjusted Performance||(0.00075463)|
|Coefficient Of Variation||(159,485)|
|Total Risk Alpha||0.1281|
|Value At Risk||(2.75)|
Automatic Data August 24, 2019 Daily Price Condition
|Daily Balance Of Power||3.88|
|Rate Of Daily Change||1.03|
|Day Median Price||169.06|
|Day Typical Price||169.27|
|Price Action Indicator||3.08|