Swiss Life Holding Stock Technical Analysis
| SWSDF Stock | USD 1,071 12.29 1.13% |
As of the 10th of February, Swiss Life has the Risk Adjusted Performance of 0.0145, variance of 2.0, and Coefficient Of Variation of 7889.75. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Swiss Life Holding, as well as the relationship between them. Please validate Swiss Life Holding variance and value at risk to decide if Swiss Life is priced more or less accurately, providing market reflects its prevalent price of 1070.6 per share. Given that Swiss Life Holding has information ratio of (0.06), we advise you to double-check Swiss Life Holding's current market performance to make sure the company can sustain itself at a future point.
Swiss Life Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Swiss, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SwissSwiss |
Swiss Life '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 Swiss Life's pink sheet 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 Swiss Life.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Swiss Life on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding Swiss Life Holding or generate 0.0% return on investment in Swiss Life over 90 days. Swiss Life is related to or competes with Sampo Oyj, Talanx AG, Aviva Plc, Talanx AG, Powerof Canada, Dai-ichi Life, and Aviva PLC. Swiss Life Holding AG provides life insurance, risk, pensions, and financial solutions for private and corporate clients More
Swiss Life 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 Swiss Life's pink sheet 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 Swiss Life Holding upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 10.77 | |||
| Value At Risk | (2.84) | |||
| Potential Upside | 1.62 |
Swiss Life Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Swiss Life's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Swiss Life's standard deviation. In reality, there are many statistical measures that can use Swiss Life historical prices to predict the future Swiss Life's volatility.| Risk Adjusted Performance | 0.0145 | |||
| Jensen Alpha | 0.0403 | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swiss Life'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.
Swiss Life February 10, 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 | 0.0145 | |||
| Market Risk Adjusted Performance | (0.01) | |||
| Mean Deviation | 0.4979 | |||
| Coefficient Of Variation | 7889.75 | |||
| Standard Deviation | 1.41 | |||
| Variance | 2.0 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | 0.0403 | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.02) | |||
| Maximum Drawdown | 10.77 | |||
| Value At Risk | (2.84) | |||
| Potential Upside | 1.62 | |||
| Skewness | 1.36 | |||
| Kurtosis | 11.05 |
Swiss Life Holding Backtested Returns
Swiss Life Holding owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the firm had a close to zero % return per unit of risk over the last 3 months. Swiss Life Holding exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Swiss Life's Risk Adjusted Performance of 0.0145, coefficient of variation of 7889.75, and Variance of 2.0 to confirm the risk estimate we provide. The entity has a beta of -0.37, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Swiss Life are expected to decrease at a much lower rate. During the bear market, Swiss Life is likely to outperform the market. At this point, Swiss Life Holding has a negative expected return of -0.0071%. Please make sure to validate Swiss Life's value at risk, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Swiss Life Holding performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.53 |
Good reverse predictability
Swiss Life Holding has good reverse predictability. Overlapping area represents the amount of predictability between Swiss Life time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 Swiss Life Holding price movement. The serial correlation of -0.53 indicates that about 53.0% of current Swiss Life price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 3019.45 |
Swiss Life technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Swiss Life Holding 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 Swiss Life Holding across different markets.
About Swiss Life 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 Swiss Life Holding 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 Swiss Life Holding based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Swiss Life Holding price pattern first instead of the macroeconomic environment surrounding Swiss Life Holding. By analyzing Swiss Life'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 Swiss Life'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 Swiss Life specific price patterns or momentum indicators. Please read more on our technical analysis page.
Swiss Life February 10, 2026 Technical Indicators
Most technical analysis of Swiss 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 Swiss from various momentum indicators to cycle indicators. When you analyze Swiss 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 | 0.0145 | |||
| Market Risk Adjusted Performance | (0.01) | |||
| Mean Deviation | 0.4979 | |||
| Coefficient Of Variation | 7889.75 | |||
| Standard Deviation | 1.41 | |||
| Variance | 2.0 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | 0.0403 | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.02) | |||
| Maximum Drawdown | 10.77 | |||
| Value At Risk | (2.84) | |||
| Potential Upside | 1.62 | |||
| Skewness | 1.36 | |||
| Kurtosis | 11.05 |
Swiss Life February 10, 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 Swiss 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 1,071 | ||
| Day Typical Price | 1,071 | ||
| Price Action Indicator | (6.15) |
Complementary Tools for Swiss Pink Sheet analysis
When running Swiss Life's price analysis, check to measure Swiss Life'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 Swiss Life is operating at the current time. Most of Swiss Life's value examination focuses on studying past and present price action to predict the probability of Swiss Life's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swiss Life's price. Additionally, you may evaluate how the addition of Swiss Life to your portfolios can decrease your overall portfolio volatility.
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