As of 18 of October Box shows Risk Adjusted Performance of (0.024016) and Mean Deviation of 1.76. Box 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 Box which can be compared to its rivals. Please confirm BoxInformation Ratio and Downside Variance to decide if Box is priced correctly providing market reflects its regular price of 15.78 per share. Given that Box has Jensen Alpha of (0.05), we suggest you validate Box prevailing market performance to make sure the company can sustain itself at future point.
The output start index for this execution was thirty with a total number of output elements of thirty-one. 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 Box 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.
Box Trend Analysis
Use this graph to draw trend lines for Box. You can use it to identify possible trend reversals for Box 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 Box price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Box Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Box applied against its price change over selected period. The best fit line has a slop of 0.043421 which may imply that Box will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 71.31, which is the sum of squared deviations for the predicted Box price change compared to its average price change.