UNIQA Insurance (Germany) Technical Analysis
| UN9 Stock | 7.61 0.07 0.91% |
As of the 23rd of December, UNIQA Insurance has the risk adjusted performance of 0.028, and Coefficient Of Variation of 2922.09. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of UNIQA Insurance Group, as well as the relationship between them.
UNIQA Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as UNIQA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UNIQAUNIQA |
UNIQA Insurance 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.
UNIQA Insurance Group 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 UNIQA Insurance Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
UNIQA Insurance Group Trend Analysis
Use this graph to draw trend lines for UNIQA Insurance Group. You can use it to identify possible trend reversals for UNIQA Insurance 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 UNIQA Insurance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.UNIQA Insurance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for UNIQA Insurance Group applied against its price change over selected period. The best fit line has a slop of 0 , which means UNIQA Insurance Group will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.1, which is the sum of squared deviations for the predicted UNIQA Insurance price change compared to its average price change.About UNIQA Insurance 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 UNIQA Insurance Group 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 UNIQA Insurance Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on UNIQA Insurance Group price pattern first instead of the macroeconomic environment surrounding UNIQA Insurance Group. By analyzing UNIQA Insurance'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 UNIQA Insurance'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 UNIQA Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
UNIQA Insurance December 23, 2024 Technical Indicators
Most technical analysis of UNIQA 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 UNIQA from various momentum indicators to cycle indicators. When you analyze UNIQA 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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| Volume Indicators |
| Risk Adjusted Performance | 0.028 | |||
| Market Risk Adjusted Performance | (0.17) | |||
| Mean Deviation | 0.6467 | |||
| Semi Deviation | 0.7816 | |||
| Downside Deviation | 0.9203 | |||
| Coefficient Of Variation | 2922.09 | |||
| Standard Deviation | 0.8719 | |||
| Variance | 0.7602 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.0223 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | (0.18) | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 1.12 | |||
| Downside Variance | 0.8469 | |||
| Semi Variance | 0.6109 | |||
| Expected Short fall | (0.70) | |||
| Skewness | 0.6961 | |||
| Kurtosis | 2.26 |
Additional Tools for UNIQA Stock Analysis
When running UNIQA Insurance's price analysis, check to measure UNIQA Insurance'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 UNIQA Insurance is operating at the current time. Most of UNIQA Insurance's value examination focuses on studying past and present price action to predict the probability of UNIQA Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UNIQA Insurance's price. Additionally, you may evaluate how the addition of UNIQA Insurance to your portfolios can decrease your overall portfolio volatility.