Deutsche Boerse Ag Stock Technical Analysis
DBOEY Stock | USD 22.57 0.21 0.94% |
As of the 25th of November, Deutsche Boerse shows the Mean Deviation of 0.7748, coefficient of variation of 2344.66, and Downside Deviation of 1.16. Deutsche Boerse 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.
Deutsche Boerse 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 Boerse 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.
Deutsche Boerse AG Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Boerse AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Deutsche Boerse AG Trend Analysis
Use this graph to draw trend lines for Deutsche Boerse AG. You can use it to identify possible trend reversals for Deutsche Boerse 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 Boerse price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Deutsche Boerse Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Deutsche Boerse AG applied against its price change over selected period. The best fit line has a slop of 0.0052 , which may suggest that Deutsche Boerse AG market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1.01, which is the sum of squared deviations for the predicted Deutsche Boerse price change compared to its average price change.About Deutsche Boerse 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 Boerse 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 Boerse AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Deutsche Boerse AG price pattern first instead of the macroeconomic environment surrounding Deutsche Boerse AG. By analyzing Deutsche Boerse'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 Boerse'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 Boerse specific price patterns or momentum indicators. Please read more on our technical analysis page.
Deutsche Boerse November 25, 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 | 0.0352 | |||
Market Risk Adjusted Performance | 24.01 | |||
Mean Deviation | 0.7748 | |||
Semi Deviation | 1.08 | |||
Downside Deviation | 1.16 | |||
Coefficient Of Variation | 2344.66 | |||
Standard Deviation | 1.02 | |||
Variance | 1.05 | |||
Information Ratio | (0.09) | |||
Jensen Alpha | 0.0334 | |||
Total Risk Alpha | (0.13) | |||
Sortino Ratio | (0.08) | |||
Treynor Ratio | 24.0 | |||
Maximum Drawdown | 5.2 | |||
Value At Risk | (1.62) | |||
Potential Upside | 1.64 | |||
Downside Variance | 1.34 | |||
Semi Variance | 1.16 | |||
Expected Short fall | (0.75) | |||
Skewness | (0.61) | |||
Kurtosis | 1.06 |
Deutsche Boerse November 25, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Deutsche stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution | 2.67 | ||
Daily Balance Of Power | 3.50 | ||
Rate Of Daily Change | 1.01 | ||
Day Median Price | 22.60 | ||
Day Typical Price | 22.59 | ||
Price Action Indicator | 0.08 |
Additional Tools for Deutsche Pink Sheet Analysis
When running Deutsche Boerse's price analysis, check to measure Deutsche Boerse'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 Boerse is operating at the current time. Most of Deutsche Boerse's value examination focuses on studying past and present price action to predict the probability of Deutsche Boerse'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 Boerse's price. Additionally, you may evaluate how the addition of Deutsche Boerse to your portfolios can decrease your overall portfolio volatility.