LIFENET INSURANCE (Germany) Technical Analysis
| 7XJ Stock | 12.30 0.50 4.24% |
As of the 3rd of December, LIFENET INSURANCE secures the mean deviation of 1.83, and Risk Adjusted Performance of 0.0819. LIFENET INSURANCE CO technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify LIFENET INSURANCE semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if LIFENET INSURANCE CO is priced fairly, providing market reflects its recent price of 12.3 per share.
LIFENET 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 LIFENET, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LIFENETLIFENET |
LIFENET 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.
LIFENET INSURANCE Technical Analysis
The output start index for this execution was twenty-eight with a total number of output elements of thirty-three. 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 LIFENET INSURANCE volatility. High ATR values indicate high volatility, and low values indicate low volatility.
LIFENET INSURANCE Trend Analysis
Use this graph to draw trend lines for LIFENET INSURANCE CO. You can use it to identify possible trend reversals for LIFENET 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 LIFENET INSURANCE price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.LIFENET INSURANCE Best Fit Change Line
The following chart estimates an ordinary least squares regression model for LIFENET INSURANCE CO applied against its price change over selected period. The best fit line has a slop of 0.04 , which means LIFENET INSURANCE CO will continue generating value for investors. It has 122 observation points and a regression sum of squares at 60.26, which is the sum of squared deviations for the predicted LIFENET INSURANCE price change compared to its average price change.About LIFENET 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 LIFENET INSURANCE CO 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 LIFENET INSURANCE CO based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on LIFENET INSURANCE price pattern first instead of the macroeconomic environment surrounding LIFENET INSURANCE. By analyzing LIFENET 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 LIFENET 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 LIFENET INSURANCE specific price patterns or momentum indicators. Please read more on our technical analysis page.
LIFENET INSURANCE December 3, 2024 Technical Indicators
Most technical analysis of LIFENET 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 LIFENET from various momentum indicators to cycle indicators. When you analyze LIFENET 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 | 0.0819 | |||
| Market Risk Adjusted Performance | (0.80) | |||
| Mean Deviation | 1.83 | |||
| Semi Deviation | 1.76 | |||
| Downside Deviation | 2.25 | |||
| Coefficient Of Variation | 1019.1 | |||
| Standard Deviation | 2.45 | |||
| Variance | 6.01 | |||
| Information Ratio | 0.0474 | |||
| Jensen Alpha | 0.2629 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.0516 | |||
| Treynor Ratio | (0.81) | |||
| Maximum Drawdown | 12.54 | |||
| Value At Risk | (3.31) | |||
| Potential Upside | 4.55 | |||
| Downside Variance | 5.07 | |||
| Semi Variance | 3.09 | |||
| Expected Short fall | (2.48) | |||
| Skewness | 0.8485 | |||
| Kurtosis | 1.24 |
Complementary Tools for LIFENET Stock analysis
When running LIFENET INSURANCE's price analysis, check to measure LIFENET 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 LIFENET INSURANCE is operating at the current time. Most of LIFENET INSURANCE's value examination focuses on studying past and present price action to predict the probability of LIFENET 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 LIFENET INSURANCE's price. Additionally, you may evaluate how the addition of LIFENET INSURANCE to your portfolios can decrease your overall portfolio volatility.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |