MetLife secures Mean Deviation of 0.8135 and Risk Adjusted Performance of 0.11. In connection with Fundamental Indicators, Macroaxis technical analysis interface lets you check existing technical drivers of MetLife as well as the relationship between them. Strictly speaking you can use this information to find out if the firm will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for MetLife which can be compared to its peers in the industry. Please verify MetLifeInformation Ratio, Potential Upside as well as the relationship between Potential Upside and Kurtosis to decide if MetLife is priced some-what accurately providing market reflects its recent price of 44.2 per share. Given that MetLife has Jensen Alpha of 0.29, we recommend you check MetLife last-minute market performance to make sure the company can sustain itself at future point.
The output start index for this execution was six with a total number of output elements of eleven. 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 MetLife 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.
MetLife Trend Analysis
Use this graph to draw trend lines for MetLife. You can use it to identify possible trend reversals for MetLife 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 MetLife price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
MetLife Best Fit Change Line
The following chart estimates an ordinary least squares regression model for MetLife applied against its price change over selected period. The best fit line has a slop of 0.06 % which may imply that the returns on investment in MetLife will continue to fail. It has 34 observation points and a regression sum of squares at 2.82, which is the sum of squared deviations for the predicted MetLife price change compared to its average price change.
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