UNIQA Insurance (Germany) Technical Analysis
| UN9 Stock | EUR 15.66 0.02 0.13% |
As of the 16th of February 2026, UNIQA Insurance has the coefficient of variation of 495.42, and Risk Adjusted Performance of 0.1676. 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. Please validate UNIQA Insurance Group standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if UNIQA Insurance is priced adequately, providing market reflects its prevalent price of 15.66 per share.
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 '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 UNIQA Insurance'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 UNIQA Insurance.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in UNIQA Insurance on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding UNIQA Insurance Group or generate 0.0% return on investment in UNIQA Insurance over 90 days. UNIQA Insurance is related to or competes with GOODTECH ASA, CARGOJET INC, Elis SA, ESSILORLUXOTTICA, MercadoLibre, Gladstone Commercial, and MEITUAN UNSPADR/2B. UNIQA Insurance Group AG operates as an insurance company in Austria, Central and Eastern Europe, and internationally More
UNIQA Insurance 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 UNIQA Insurance'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 UNIQA Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.45 | |||
| Information Ratio | 0.156 | |||
| Maximum Drawdown | 6.15 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 3.02 |
UNIQA Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UNIQA Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UNIQA Insurance's standard deviation. In reality, there are many statistical measures that can use UNIQA Insurance historical prices to predict the future UNIQA Insurance's volatility.| Risk Adjusted Performance | 0.1676 | |||
| Jensen Alpha | 0.2887 | |||
| Total Risk Alpha | 0.1846 | |||
| Sortino Ratio | 0.1644 | |||
| Treynor Ratio | 1.94 |
UNIQA Insurance February 16, 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 | 0.1676 | |||
| Market Risk Adjusted Performance | 1.95 | |||
| Mean Deviation | 1.14 | |||
| Semi Deviation | 0.9632 | |||
| Downside Deviation | 1.45 | |||
| Coefficient Of Variation | 495.42 | |||
| Standard Deviation | 1.53 | |||
| Variance | 2.33 | |||
| Information Ratio | 0.156 | |||
| Jensen Alpha | 0.2887 | |||
| Total Risk Alpha | 0.1846 | |||
| Sortino Ratio | 0.1644 | |||
| Treynor Ratio | 1.94 | |||
| Maximum Drawdown | 6.15 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 3.02 | |||
| Downside Variance | 2.1 | |||
| Semi Variance | 0.9277 | |||
| Expected Short fall | (1.42) | |||
| Skewness | 0.259 | |||
| Kurtosis | (0.03) |
UNIQA Insurance Group Backtested Returns
UNIQA Insurance appears to be very steady, given 3 months investment horizon. UNIQA Insurance Group owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the firm had a 0.21 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for UNIQA Insurance Group, which you can use to evaluate the volatility of the company. Please review UNIQA Insurance's coefficient of variation of 495.42, and Risk Adjusted Performance of 0.1676 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, UNIQA Insurance holds a performance score of 16. The entity has a beta of 0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, UNIQA Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding UNIQA Insurance is expected to be smaller as well. Please check UNIQA Insurance's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether UNIQA Insurance's existing price patterns will revert.
Auto-correlation | 0.45 |
Average predictability
UNIQA Insurance Group has average predictability. Overlapping area represents the amount of predictability between UNIQA Insurance time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th of February 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 UNIQA Insurance Group price movement. The serial correlation of 0.45 indicates that just about 45.0% of current UNIQA Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
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
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for UNIQA Insurance Group across different markets.
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 February 16, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1676 | |||
| Market Risk Adjusted Performance | 1.95 | |||
| Mean Deviation | 1.14 | |||
| Semi Deviation | 0.9632 | |||
| Downside Deviation | 1.45 | |||
| Coefficient Of Variation | 495.42 | |||
| Standard Deviation | 1.53 | |||
| Variance | 2.33 | |||
| Information Ratio | 0.156 | |||
| Jensen Alpha | 0.2887 | |||
| Total Risk Alpha | 0.1846 | |||
| Sortino Ratio | 0.1644 | |||
| Treynor Ratio | 1.94 | |||
| Maximum Drawdown | 6.15 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 3.02 | |||
| Downside Variance | 2.1 | |||
| Semi Variance | 0.9277 | |||
| Expected Short fall | (1.42) | |||
| Skewness | 0.259 | |||
| Kurtosis | (0.03) |
UNIQA Insurance February 16, 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 UNIQA 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 | 0.02 | ||
| Daily Balance Of Power | 0.08 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 15.54 | ||
| Day Typical Price | 15.58 | ||
| Price Action Indicator | 0.13 | ||
| Market Facilitation Index | 0.24 |
Complementary 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.
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