Deutsche Post (Germany) Technical Analysis
| DPWA Stock | EUR 35.20 0.50 1.44% |
As of the 24th of November, Deutsche Post shows the Variance of 3.36, standard deviation of 1.83, and Mean Deviation of 1.35. Deutsche Post AG 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 Post AG mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Deutsche Post AG is priced favorably, providing market reflects its regular price of 35.2 per share.
Deutsche Post 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 Post 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 Post AG Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Post AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Deutsche Post AG Trend Analysis
Use this graph to draw trend lines for Deutsche Post AG. You can use it to identify possible trend reversals for Deutsche Post 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 Post price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Deutsche Post Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Deutsche Post AG applied against its price change over selected period. The best fit line has a slop of 0.08 , which may suggest that Deutsche Post AG market price will keep on failing further. It has 122 observation points and a regression sum of squares at 236.32, which is the sum of squared deviations for the predicted Deutsche Post price change compared to its average price change.About Deutsche Post 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 Post AG 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 Post AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Deutsche Post AG price pattern first instead of the macroeconomic environment surrounding Deutsche Post AG. By analyzing Deutsche Post'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 Post'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 Post specific price patterns or momentum indicators. Please read more on our technical analysis page.
Deutsche Post November 24, 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 | (0.03) | |||
| Market Risk Adjusted Performance | 0.2315 | |||
| Mean Deviation | 1.35 | |||
| Coefficient Of Variation | (2,006) | |||
| Standard Deviation | 1.83 | |||
| Variance | 3.36 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.39) | |||
| Treynor Ratio | 0.2215 | |||
| Maximum Drawdown | 9.4 | |||
| Value At Risk | (3.22) | |||
| Potential Upside | 3.02 | |||
| Skewness | (0.18) | |||
| Kurtosis | 0.9196 |
Complementary Tools for Deutsche Stock analysis
When running Deutsche Post's price analysis, check to measure Deutsche Post'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 Post is operating at the current time. Most of Deutsche Post's value examination focuses on studying past and present price action to predict the probability of Deutsche Post'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 Post's price. Additionally, you may evaluate how the addition of Deutsche Post to your portfolios can decrease your overall portfolio volatility.
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