Swiss Life Holding Stock Technical Analysis
| SZLMY Stock | USD 41.59 1.33 3.30% |
As of the 2nd of December, Swiss Life has the Semi Deviation of 1.11, risk adjusted performance of 0.0239, and Coefficient Of Variation of 3872.8. 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.
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 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 thirty-six with a total number of output elements of twenty-five. 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 Swiss Life Holding volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Swiss Life Holding Trend Analysis
Use this graph to draw trend lines for Swiss Life Holding. You can use it to identify possible trend reversals for Swiss Life 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 Swiss Life price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Swiss Life Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Swiss Life Holding applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Swiss Life Holding market price will keep on failing further. It has 122 observation points and a regression sum of squares at 6.9, which is the sum of squared deviations for the predicted Swiss Life price change compared to its average price change.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 December 2, 2024 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 | 0.0239 | |||
| Market Risk Adjusted Performance | 0.1152 | |||
| Mean Deviation | 1.04 | |||
| Semi Deviation | 1.11 | |||
| Downside Deviation | 1.14 | |||
| Coefficient Of Variation | 3872.8 | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.7 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.1052 | |||
| Maximum Drawdown | 6.42 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 2.12 | |||
| Downside Variance | 1.31 | |||
| Semi Variance | 1.24 | |||
| Expected Short fall | (1.17) | |||
| Skewness | 0.6396 | |||
| Kurtosis | 0.7061 |
Additional 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.