Agilent Technical Analysis

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A -- USA Stock  

Fiscal Quarter End: 31st of July 2020  

As of the 26th of May Agilent shows Downside Deviation of 3.89, Risk Adjusted Performance of 0.0975 and Mean Deviation of 3.05. Agilent 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. Put another way, 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, which can be compared to its rivals. Please confirm Agilent Coefficient Of Variation, Jensen Alpha, Potential Upside, as well as the relationship between Variance and Maximum Drawdown to decide if Agilent is priced correctly providing market reflects its regular price of 86.13 per share. Given that Agilent has Jensen Alpha of 0.2079, we suggest you validate Agilent prevailing market performance to make sure the company can sustain itself at future point.

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Agilent current and past analyst recommendations published by number of research institutions as well as average analyst consensus
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Agilent Technical Analysis

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The output start index for this execution was seven with a total number of output elements of fifty-four. 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 Agilent 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.

Agilent Trend Analysis

Use this graph to draw trend lines for Agilent. You can use it to identify possible trend reversals for Agilent 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 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Agilent Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Agilent applied against its price change over selected period. The best fit line has a slop of   0.17  which indicates that Agilent will continue to generate solid returns. It has 122 observation points and a regression sum of squares at 1150.4, which is the sum of squared deviations for the predicted Agilent price change compared to its average price change.

About Agilent Technical Analysis

The Macroaxis Technical Analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Agilent on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Agilent based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Agilent stock first instead of the macroeconomic environment surrounding Agilent. By analyzing Agilent's financials, daily price indicators, and its related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Agilent's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Agilent specific price patterns or momentum indicators. Please read more on our technical analysis page.

Agilent May 26, 2020 Technical Indicators

Agilent May 26, 2020 Daily Price Condition

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