DexCom shows Coefficient Of Variation of 287.87, Mean Deviation of 1.3 and Downside Deviation of 2.1. DexCom technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes 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 DexCom which can be compared to its rivals. Please confirm DexComJensen Alpha, Potential Upside as well as the relationship between Potential Upside and Skewness to decide if DexCom is priced favorably providing market reflects its regular price of 100.65 per share. Given that DexCom has Jensen Alpha of 0.0, we urge you verify DexCom prevailing market performance to make sure the company can sustain itself at future point.
The output start index for this execution was five with a total number of output elements of twelve. 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 DexCom 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.
DexCom Trend Analysis
Use this graph to draw trend lines for DexCom. You can use it to identify possible trend reversals for DexCom 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 DexCom price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
DexCom Best Fit Change Line
The following chart estimates an ordinary least squares regression model for DexCom applied against its price change over selected period. The best fit line has a slop of 0.89 % which means DexCom will continue generating value for investors. It has 34 observation points and a regression sum of squares at 650.88, which is the sum of squared deviations for the predicted DexCom price change compared to its average price change.
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