ConocoPhillips shows Risk Adjusted Performance of (0.13) and Mean Deviation of 1.67. ConocoPhillips 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 ConocoPhillips which can be compared to its rivals. Please confirm ConocoPhillipsCoefficient Of Variation, Treynor Ratio as well as the relationship between Treynor Ratio and Semi Variance to decide if ConocoPhillips is priced correctly providing market reflects its regular price of 65.55 per share. Given that ConocoPhillips has Jensen Alpha of (0.21), we suggest you validate ConocoPhillips prevailing market performance to make sure the company can sustain itself at future point.
The output start index for this execution was twelve with a total number of output elements of twenty-seven. 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 ConocoPhillips 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.
ConocoPhillips Trend Analysis
Use this graph to draw trend lines for ConocoPhillips. You can use it to identify possible trend reversals for ConocoPhillips 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 ConocoPhillips price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
ConocoPhillips Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ConocoPhillips applied against its price change over selected period. The best fit line has a slop of 0.1 % which may imply that the returns on investment in ConocoPhillips will continue to fail. It has 78 observation points and a regression sum of squares at 91.31, which is the sum of squared deviations for the predicted ConocoPhillips price change compared to its average price change.
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