CA shows Mean Deviation of 0.1661 and Risk Adjusted Performance of 0.2809. CA 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 CA which can be compared to its rivals. Please confirm CAVariance, Maximum Drawdown and the relationship between Coefficient Of Variation and Jensen Alpha to decide if CA is priced correctly providing market reflects its regular price of 44.44 per share. Given that CA has Jensen Alpha of 0.053, we suggest you validate CA prevailing market performance to make sure the company can sustain itself at future point.
The output start index for this execution was six with a total number of output elements of eleven. 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 CA 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.
CA Trend Analysis
Use this graph to draw trend lines for CA. You can use it to identify possible trend reversals for CA 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 CA price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
CA Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CA applied against its price change over selected period. The best fit line has a slop of 0.043407 % which suggests that CA will keep on generating value for investors. It has 34 observation points and a regression sum of squares at 1.54, which is the sum of squared deviations for the predicted CA price change compared to its average price change.
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