Deutsche Boerse Ag Stock Volatility Indicators Average True Range

DBOEY Stock  USD 23.18  0.14  0.61%   
Deutsche Boerse volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Deutsche Boerse. Deutsche Boerse value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Deutsche Boerse volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

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The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Technical Analysis Modules

Most technical analysis of Deutsche Boerse 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Deutsche Boerse Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Deutsche Boerse AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Deutsche Boerse AG based on widely used predictive technical indicators. In general, we focus on analyzing Deutsche Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Deutsche Boerse's daily price indicators and compare them against related drivers, such as volatility indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Deutsche Boerse's intrinsic value. In addition to deriving basic predictive indicators for Deutsche Boerse, we also check how macroeconomic factors affect Deutsche Boerse price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Boerse's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
21.9723.0524.13
Details
Intrinsic
Valuation
LowRealHigh
21.8722.9524.03
Details
Naive
Forecast
LowNextHigh
21.5322.6123.69
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
22.3523.1223.89
Details

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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.