CCA Industries owns Coefficient Of Variation of 1,755 and Market Risk Adjusted Performance of 0.4749. CCA Industries technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the entity future prices. Strictly speaking you can use this information to find out if the entity will indeed mirror its model of historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for CCA Industries which can be compared to its peers in the sector. Please confirm CCA IndustriesCoefficient Of Variation as well as the relationship between Treynor Ratio and Semi Variance to decide if CCA Industries is priced adequately providing market reflects its prevailing price of 2.95 per share. Please also double-check CCA Industries Total Risk Alpha which is currently at 0.008677 to validate the company can sustain itself at some future date.
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 CCA Industries 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.
CCA Industries Trend Analysis
Use this graph to draw trend lines for CCA Industries. You can use it to identify possible trend reversals for CCA Industries 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 CCA Industries price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
CCA Industries Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CCA Industries applied against its price change over selected period. The best fit line has a slop of 0.008173 % which may imply that the returns on investment in CCA Industries will continue to fail. It has 78 observation points and a regression sum of squares at 0.66, which is the sum of squared deviations for the predicted CCA Industries price change compared to its average price change.
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