Agilent Technologies Inc shows Downside Deviation of 0.8313, Risk Adjusted Performance of 0.0494 and Mean Deviation of 0.5567. Agilent Technologies Inc 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 Inc Coefficient Of Variation, Jensen Alpha, Potential Upside, as well as the relationship between Variance and Maximum Drawdown to decide if Agilent Technologies Inc is priced correctly providing market reflects its regular price of 68.69 per share. Given that Agilent Technologies has Jensen Alpha of 0.1382, 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 Inc Trend AnalysisUse 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 top-right. To remove the trend, use eraser icon.
Agilent Technologies Best Fit Change LineThe 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 0.077451 % which indicates that Agilent Technologies Inc will continue to generate solid returns. It has 34 observation points and a regression sum of squares at 4.89, which is the sum of squared deviations for the predicted Agilent Technologies price change compared to its average price change.
Use basic forecasting models to generate price predictions and determine price momentum
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