Agilent Technologies Technical Analysis 
Agilent Technologies Inc shows Downside Deviation of 1.01, Risk Adjusted Performance of 0.0732 and Mean Deviation of 0.8331. Agilent Technologies 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 Agilent Technologies Inc which can be compared to its rivals. Please confirm Agilent Technologies Coefficient Of Variation, Jensen Alpha, Potential Upside, as well as the relationship between Variance and Maximum Drawdown to decide if Agilent Technologies is priced correctly providing market reflects its regular price of 53.24 per share. Given that Agilent Technologies has Jensen Alpha of 0.2371, we suggest you validate Agilent Technologies Inc prevailing market performance to make sure the company can sustain itself at future point.
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Agilent Technologies Trend Analysis
Use this graph to draw trend lines for Agilent Technologies Inc. You can use it to identify possible trend reversals for Agilent Technologies 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 Agilent Technologies price movement. To start drawing, click on the pencil icon on topright. To remove the trend, use eraser icon.Agilent Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Agilent Technologies Inc applied against its price change over selected period. The best fit line has a slop of 0.10 % which indicates that Agilent Technologies Inc will continue to generate solid returns. It has 44 observation points and a regression sum of squares at 19.05, which is the sum of squared deviations for the predicted Agilent Technologies price change compared to its average price change.Portfolio OptimizationCompute new portfolio that will generate highest expected return given your specified tolerance for risk 
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Mean Deviation  ...

Technical Drivers
Agilent Technologies March 28, 2017 Technical Indicators
Cycle Indicators  
Math Operators  
Math Transform  
Momentum Indicators  
Overlap Studies  
Pattern Recognition  
Price Transform  
Statistic Functions  
Volatility Indicators  
Volume Indicators 
Risk Adjusted Performance  0.0732  
Market Risk Adjusted Performance  0.0955  
Mean Deviation  0.8331  
Semi Deviation  0.776  
Downside Deviation  1.01  
Coefficient Of Variation  802.0  
Standard Deviation  1.18  
Variance  1.38  
Information Ratio  0.1697  
Jensen Alpha  0.2371  
Total Risk Alpha  0.2727  
Sortino Ratio  0.1982  
Treynor Ratio  0.0855  
Maximum Drawdown  5.56  
Value At Risk  (1.39)  
Potential Upside  1.46  
Downside Variance  1.01  
Semi Variance  0.6022  
Expected Short fall  (0.97)  
Skewness  0.9629  
Kurtosis  2.61 
Fundamentals Correlations
Analyze Agilent Technologies Fundamentals Trends