SBI Insurance (Germany) Technical Analysis
| EEW Stock | 12.90 0.30 2.38% |
As of the 18th of February 2026, SBI Insurance has the Risk Adjusted Performance of 0.2471, market risk adjusted performance of (2.11), and Downside Deviation of 2.52. SBI Insurance technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the entity's future prices.
SBI 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 SBI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SBISBI |
SBI 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 SBI 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 SBI Insurance.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in SBI Insurance on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding SBI Insurance Group or generate 0.0% return on investment in SBI Insurance over 90 days. SBI Insurance is related to or competes with NVIDIA, NVIDIA CORP, NVIDIA, APPLE INC, Apple, Apple, and Alphabet. SBI Insurance is entity of Germany. It is traded as Stock on STU exchange. More
SBI 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 SBI 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 SBI Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.52 | |||
| Information Ratio | 0.2762 | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 3.66 |
SBI Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SBI Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SBI Insurance's standard deviation. In reality, there are many statistical measures that can use SBI Insurance historical prices to predict the future SBI Insurance's volatility.| Risk Adjusted Performance | 0.2471 | |||
| Jensen Alpha | 0.5929 | |||
| Total Risk Alpha | 0.4757 | |||
| Sortino Ratio | 0.2133 | |||
| Treynor Ratio | (2.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SBI Insurance's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SBI Insurance February 18, 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 | 0.2471 | |||
| Market Risk Adjusted Performance | (2.11) | |||
| Mean Deviation | 1.46 | |||
| Semi Deviation | 1.31 | |||
| Downside Deviation | 2.52 | |||
| Coefficient Of Variation | 329.55 | |||
| Standard Deviation | 1.95 | |||
| Variance | 3.8 | |||
| Information Ratio | 0.2762 | |||
| Jensen Alpha | 0.5929 | |||
| Total Risk Alpha | 0.4757 | |||
| Sortino Ratio | 0.2133 | |||
| Treynor Ratio | (2.12) | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 3.66 | |||
| Downside Variance | 6.36 | |||
| Semi Variance | 1.7 | |||
| Expected Short fall | (2.09) | |||
| Skewness | 0.0707 | |||
| Kurtosis | 1.11 |
SBI Insurance Group Backtested Returns
SBI Insurance appears to be not too volatile, given 3 months investment horizon. SBI Insurance Group owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.22, which indicates the company had a 0.22 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SBI Insurance Group, which you can use to evaluate the volatility of the entity. Please review SBI Insurance's Downside Deviation of 2.52, market risk adjusted performance of (2.11), and Risk Adjusted Performance of 0.2471 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SBI Insurance holds a performance score of 17. The firm has a beta of -0.27, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SBI Insurance are expected to decrease at a much lower rate. During the bear market, SBI Insurance is likely to outperform the market. Please check SBI Insurance's jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether SBI Insurance's existing price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
SBI Insurance Group has no correlation between past and present. Overlapping area represents the amount of predictability between SBI Insurance time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 SBI Insurance Group price movement. The serial correlation of 0.0 indicates that just 0.0% of current SBI Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.39 |
SBI 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.
SBI Insurance Group Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 SBI Insurance Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SBI 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 SBI 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 SBI Insurance Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SBI Insurance Group price pattern first instead of the macroeconomic environment surrounding SBI Insurance Group. By analyzing SBI 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 SBI 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 SBI Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
SBI Insurance February 18, 2026 Technical Indicators
Most technical analysis of SBI 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 SBI from various momentum indicators to cycle indicators. When you analyze SBI 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 | 0.2471 | |||
| Market Risk Adjusted Performance | (2.11) | |||
| Mean Deviation | 1.46 | |||
| Semi Deviation | 1.31 | |||
| Downside Deviation | 2.52 | |||
| Coefficient Of Variation | 329.55 | |||
| Standard Deviation | 1.95 | |||
| Variance | 3.8 | |||
| Information Ratio | 0.2762 | |||
| Jensen Alpha | 0.5929 | |||
| Total Risk Alpha | 0.4757 | |||
| Sortino Ratio | 0.2133 | |||
| Treynor Ratio | (2.12) | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 3.66 | |||
| Downside Variance | 6.36 | |||
| Semi Variance | 1.7 | |||
| Expected Short fall | (2.09) | |||
| Skewness | 0.0707 | |||
| Kurtosis | 1.11 |
SBI Insurance February 18, 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 SBI 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 | 0.01 | ||
| Daily Balance Of Power | 3.00 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 12.85 | ||
| Day Typical Price | 12.87 | ||
| Price Action Indicator | 0.20 | ||
| Market Facilitation Index | 0.10 |
Additional Tools for SBI Stock Analysis
When running SBI Insurance's price analysis, check to measure SBI 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 SBI Insurance is operating at the current time. Most of SBI Insurance's value examination focuses on studying past and present price action to predict the probability of SBI 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 SBI Insurance's price. Additionally, you may evaluate how the addition of SBI Insurance to your portfolios can decrease your overall portfolio volatility.