CJ Energy Services owns Standard Deviation of 2.04 and Coefficient Of Variation of 798.95. CJ Energy Services technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the firm future prices. Strictly speaking you can use this information to find out if the firm will indeed mirror its model of historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for CJ Energy which can be compared to its peers in the sector. Please confirm CJ Energy ServicesJensen Alpha, Semi Variance and the relationship between Standard Deviation and Value At Risk to decide if CJ Energy Services is priced fairly providing market reflects its prevailing price of 30.41 per share. Given that CJ Energy Services has Jensen Alpha of 0.0, we suggest you validate CJ Energy latest market performance to make sure the company can sustain itself sooner or later.
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 CJ Energy Services 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.
CJ Energy Services Trend Analysis
Use this graph to draw trend lines for CJ Energy Services. You can use it to identify possible trend reversals for CJ Energy 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 CJ Energy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
CJ Energy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CJ Energy Services applied against its price change over selected period. The best fit line has a slop of 0.040515 % which suggests that CJ Energy Services will keep on generating value for investors. It has 34 observation points and a regression sum of squares at 1.34, which is the sum of squared deviations for the predicted CJ Energy price change compared to its average price change.
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