Vonovia SE (Germany) Technical Analysis
| VNA Stock | EUR 30.40 0.27 0.90% |
As of the 26th of November, Vonovia SE has the Variance of 2.19, risk adjusted performance of (0.03), and Coefficient Of Variation of (2,516). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vonovia SE, as well as the relationship between them. Please validate Vonovia SE mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Vonovia SE is priced more or less accurately, providing market reflects its prevalent price of 30.4 per share.
Vonovia SE Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Vonovia, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VonoviaVonovia |
Vonovia SE 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.
Vonovia SE 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 Vonovia SE volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Vonovia SE Trend Analysis
Use this graph to draw trend lines for Vonovia SE. You can use it to identify possible trend reversals for Vonovia SE 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 Vonovia SE price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Vonovia SE Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Vonovia SE applied against its price change over selected period. The best fit line has a slop of 0.07 , which may suggest that Vonovia SE market price will keep on failing further. It has 122 observation points and a regression sum of squares at 180.29, which is the sum of squared deviations for the predicted Vonovia SE price change compared to its average price change.About Vonovia SE 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 Vonovia SE 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 Vonovia SE based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Vonovia SE price pattern first instead of the macroeconomic environment surrounding Vonovia SE. By analyzing Vonovia SE'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 Vonovia SE'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 Vonovia SE specific price patterns or momentum indicators. Please read more on our technical analysis page.
Vonovia SE November 26, 2024 Technical Indicators
Most technical analysis of Vonovia 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 Vonovia from various momentum indicators to cycle indicators. When you analyze Vonovia 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 1.18 | |||
| Coefficient Of Variation | (2,516) | |||
| Standard Deviation | 1.48 | |||
| Variance | 2.19 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 5.85 | |||
| Value At Risk | (2.40) | |||
| Potential Upside | 2.34 | |||
| Skewness | 0.5072 | |||
| Kurtosis | 0.2402 |
Complementary Tools for Vonovia Stock analysis
When running Vonovia SE's price analysis, check to measure Vonovia SE'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 Vonovia SE is operating at the current time. Most of Vonovia SE's value examination focuses on studying past and present price action to predict the probability of Vonovia SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vonovia SE's price. Additionally, you may evaluate how the addition of Vonovia SE to your portfolios can decrease your overall portfolio volatility.
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| 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 | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Stocks Directory Find actively traded stocks across global markets | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |