AbbVie shows Mean Deviation of 0.9658 and Risk Adjusted Performance of 0.06. AbbVie 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 AbbVie which can be compared to its rivals. Please confirm AbbVieCoefficient Of Variation as well as the relationship between Treynor Ratio and Semi Variance to decide if AbbVie is priced correctly providing market reflects its regular price of 92.68 per share. Given that AbbVie has Jensen Alpha of 0.25, we suggest you validate AbbVie prevailing market performance to make sure the company can sustain itself at future point.
The output start index for this execution was twelve with a total number of output elements of five. 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 AbbVie 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.
AbbVie Trend Analysis
Use this graph to draw trend lines for AbbVie. You can use it to identify possible trend reversals for AbbVie 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 AbbVie price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
AbbVie Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AbbVie applied against its price change over selected period. The best fit line has a slop of 0.18 % which may suggest that AbbVie market price will keep on failing further. It has 34 observation points and a regression sum of squares at 27.42, which is the sum of squared deviations for the predicted AbbVie price change compared to its average price change.
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