WEX maintains Market Risk Adjusted Performance of 89.35 and Mean Deviation of 1.84. In relation to Fundamental Indicators, Macroaxis technical analysis interface lets you check available technical drivers of WEX as well as the relationship between them. Specifically you can use this information to find out if the organization will indeed mirror its model of past data patterns or the prices will eventually revert. We found nineteen technical drivers for WEX which can be compared to its rivals. Please check out WEXMarket Risk Adjusted Performance, Variance as well as the relationship between Variance and Potential Upside to decide if WEX is priced some-what accurately providing market reflects its latest price of 159.64 per share. Given that WEX has Jensen Alpha of 0.70, we strongly advise you confirm WEX prevalent market performance to make sure the company can sustain itself next year.
The output start index for this execution was fourteen with a total number of output elements of three. 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 WEX 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.
WEX Trend Analysis
Use this graph to draw trend lines for WEX. You can use it to identify possible trend reversals for WEX 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 WEX price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
WEX Best Fit Change Line
The following chart estimates an ordinary least squares regression model for WEX applied against its price change over selected period. The best fit line has a slop of 0.92 % which may imply that the returns on investment in WEX will continue to fail. It has 34 observation points and a regression sum of squares at 685.34, which is the sum of squared deviations for the predicted WEX price change compared to its average price change.
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