MetLife (Germany) Technical Analysis
| MWZ Stock | EUR 83.23 0.36 0.43% |
As of the 28th of November, MetLife secures the Downside Deviation of 1.43, risk adjusted performance of 0.1685, and Mean Deviation of 1.15. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of MetLife, as well as the relationship between them. Please verify MetLife treynor ratio, downside variance, kurtosis, as well as the relationship between the value at risk and expected short fall to decide if MetLife is priced some-what accurately, providing market reflects its recent price of 83.23 per share.
MetLife Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as MetLife, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MetLifeMetLife |
MetLife technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
MetLife Technical Analysis
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 MetLife volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 0.22 , which means MetLife will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1786.68, which is the sum of squared deviations for the predicted MetLife price change compared to its average price change.About MetLife Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of MetLife on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of MetLife based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on MetLife price pattern first instead of the macroeconomic environment surrounding MetLife. By analyzing MetLife's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of MetLife's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to MetLife specific price patterns or momentum indicators. Please read more on our technical analysis page.
MetLife November 28, 2024 Technical Indicators
Most technical analysis of MetLife help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for MetLife from various momentum indicators to cycle indicators. When you analyze MetLife charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1685 | |||
| Market Risk Adjusted Performance | 0.4233 | |||
| Mean Deviation | 1.15 | |||
| Semi Deviation | 1.17 | |||
| Downside Deviation | 1.43 | |||
| Coefficient Of Variation | 468.95 | |||
| Standard Deviation | 1.56 | |||
| Variance | 2.43 | |||
| Information Ratio | 0.1329 | |||
| Jensen Alpha | 0.2325 | |||
| Total Risk Alpha | 0.0878 | |||
| Sortino Ratio | 0.1449 | |||
| Treynor Ratio | 0.4133 | |||
| Maximum Drawdown | 8.86 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 3.33 | |||
| Downside Variance | 2.04 | |||
| Semi Variance | 1.36 | |||
| Expected Short fall | (1.41) | |||
| Skewness | (0.41) | |||
| Kurtosis | 2.56 |
Complementary Tools for MetLife Stock analysis
When running MetLife's price analysis, check to measure MetLife's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy MetLife is operating at the current time. Most of MetLife's value examination focuses on studying past and present price action to predict the probability of MetLife's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MetLife's price. Additionally, you may evaluate how the addition of MetLife to your portfolios can decrease your overall portfolio volatility.
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