Halliburton Company retains Downside Deviation of 2.39, Market Risk Adjusted Performance of 0.0587 and Risk Adjusted Performance of 0.019. Halliburton technical analysis makes it possible for you to employ historical prices and volume momentum with intention to determine a pattern that calculates the direction of the corporation future prices. In other words you can use this information to find out if the corporation will indeed mirror its model of historical price patterns or the prices will eventually revert. We found nineteen technical drivers for Halliburton which can be compared to its competitors. Please check out HalliburtonJensen Alpha as well as the relationship between Potential Upside and Skewness to decide if Halliburton is priced fairly providing market reflects its last-minute price of 41.06 per share. Given that Halliburton Company has Jensen Alpha of 0.07, we strongly advise you confirm Halliburton regular market performance to make sure the company can sustain itself at future point.
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 Halliburton 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.
Halliburton Trend Analysis
Use this graph to draw trend lines for Halliburton Company. You can use it to identify possible trend reversals for Halliburton 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 Halliburton price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Halliburton Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Halliburton Company applied against its price change over selected period. The best fit line has a slop of 0.19 % which may imply that Halliburton Company will maintain its good market sentiment and make money for investors. It has 34 observation points and a regression sum of squares at 30.91, which is the sum of squared deviations for the predicted Halliburton price change compared to its average price change.
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