MetLife (Germany) Technical Analysis
| MWZ Stock | EUR 65.18 0.41 0.63% |
As of the 23rd of January, MetLife secures the Standard Deviation of 1.42, insignificant risk adjusted performance, and Mean Deviation of 1.07. 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 information ratio, potential upside, and the relationship between the standard deviation and maximum drawdown to decide if MetLife is priced some-what accurately, providing market reflects its recent price of 65.18 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to MetLife's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of MetLife.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in MetLife on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding MetLife or generate 0.0% return on investment in MetLife over 90 days. MetLife is related to or competes with EAT WELL, PennyMac Mortgage, Scottish Mortgage, New Residential, and AGF Management. MetLife, Inc. engages in the insurance, annuities, employee benefits, and asset management businesses More
MetLife Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure MetLife's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess MetLife upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 7.23 | |||
| Value At Risk | (2.69) | |||
| Potential Upside | 2.24 |
MetLife Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MetLife's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MetLife's standard deviation. In reality, there are many statistical measures that can use MetLife historical prices to predict the future MetLife's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.1175 |
MetLife January 23, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0) | |||
| Market Risk Adjusted Performance | 0.1275 | |||
| Mean Deviation | 1.07 | |||
| Coefficient Of Variation | (9,792) | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.01 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.1175 | |||
| Maximum Drawdown | 7.23 | |||
| Value At Risk | (2.69) | |||
| Potential Upside | 2.24 | |||
| Skewness | (0.24) | |||
| Kurtosis | 0.623 |
MetLife Backtested Returns
MetLife has Sharpe Ratio of -0.0258, which conveys that the firm had a -0.0258 % return per unit of risk over the last 3 months. MetLife exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify MetLife's Standard Deviation of 1.42, insignificant risk adjusted performance, and Mean Deviation of 1.07 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.21, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning MetLife are expected to decrease at a much lower rate. During the bear market, MetLife is likely to outperform the market. At this point, MetLife has a negative expected return of -0.0383%. Please make sure to verify MetLife's daily balance of power, market facilitation index, and the relationship between the kurtosis and day median price , to decide if MetLife performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.45 |
Average predictability
MetLife has average predictability. Overlapping area represents the amount of predictability between MetLife time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of MetLife price movement. The serial correlation of 0.45 indicates that just about 45.0% of current MetLife price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 2.99 |
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
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. 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.
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 January 23, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0) | |||
| Market Risk Adjusted Performance | 0.1275 | |||
| Mean Deviation | 1.07 | |||
| Coefficient Of Variation | (9,792) | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.01 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.1175 | |||
| Maximum Drawdown | 7.23 | |||
| Value At Risk | (2.69) | |||
| Potential Upside | 2.24 | |||
| Skewness | (0.24) | |||
| Kurtosis | 0.623 |
MetLife January 23, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as MetLife stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.10 | ||
| Daily Balance Of Power | (1.86) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 65.07 | ||
| Day Typical Price | 65.11 | ||
| Price Action Indicator | (0.09) | ||
| Market Facilitation Index | 0.01 |
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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