Deutsche Wohnen (Germany) Technical Analysis
DWNI Stock | 23.20 0.25 1.09% |
As of the 22nd of December, Deutsche Wohnen shows the Mean Deviation of 1.3, variance of 2.9, and Standard Deviation of 1.7. Deutsche Wohnen SE technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Deutsche Wohnen SE mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Deutsche Wohnen SE is priced favorably, providing market reflects its regular price of 23.2 per share.
Deutsche Wohnen Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Deutsche, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DeutscheDeutsche |
Deutsche Wohnen 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.
Deutsche Wohnen SE Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Deutsche Wohnen SE volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Deutsche Wohnen SE Trend Analysis
Use this graph to draw trend lines for Deutsche Wohnen SE. You can use it to identify possible trend reversals for Deutsche Wohnen 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 Deutsche Wohnen price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Deutsche Wohnen Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Deutsche Wohnen SE applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Deutsche Wohnen SE market price will keep on failing further. It has 122 observation points and a regression sum of squares at 6.67, which is the sum of squared deviations for the predicted Deutsche Wohnen price change compared to its average price change.About Deutsche Wohnen 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 Deutsche Wohnen 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 Deutsche Wohnen SE based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Deutsche Wohnen SE price pattern first instead of the macroeconomic environment surrounding Deutsche Wohnen SE. By analyzing Deutsche Wohnen'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 Deutsche Wohnen'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 Deutsche Wohnen specific price patterns or momentum indicators. Please read more on our technical analysis page.
Deutsche Wohnen December 22, 2024 Technical Indicators
Most technical analysis of Deutsche 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 Deutsche from various momentum indicators to cycle indicators. When you analyze Deutsche 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 | (0.07) | |||
Market Risk Adjusted Performance | (0.78) | |||
Mean Deviation | 1.3 | |||
Coefficient Of Variation | (1,118) | |||
Standard Deviation | 1.7 | |||
Variance | 2.9 | |||
Information Ratio | (0.11) | |||
Jensen Alpha | (0.17) | |||
Total Risk Alpha | (0.21) | |||
Treynor Ratio | (0.79) | |||
Maximum Drawdown | 9.18 | |||
Value At Risk | (3.12) | |||
Potential Upside | 2.2 | |||
Skewness | 0.0982 | |||
Kurtosis | 0.7431 |
Complementary Tools for Deutsche Stock analysis
When running Deutsche Wohnen's price analysis, check to measure Deutsche Wohnen'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 Deutsche Wohnen is operating at the current time. Most of Deutsche Wohnen's value examination focuses on studying past and present price action to predict the probability of Deutsche Wohnen's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Wohnen's price. Additionally, you may evaluate how the addition of Deutsche Wohnen to your portfolios can decrease your overall portfolio volatility.
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