MBANK (Germany) Overlap Studies Double Exponential Moving Average

BRU Stock   122.25  1.05  0.85%   
MBANK overlap studies tool provides the execution environment for running the Double Exponential Moving Average study and other technical functions against MBANK. MBANK 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 overlap studies indicators. As with most other technical indicators, the Double Exponential Moving Average study function is designed to identify and follow existing trends. MBANK overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to MBANK changes than the simple moving average.

MBANK Technical Analysis Modules

Most technical analysis of MBANK 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 MBANK from various momentum indicators to cycle indicators. When you analyze MBANK 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 MBANK 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 MBANK. We use our internally-developed statistical techniques to arrive at the intrinsic value of MBANK based on widely used predictive technical indicators. In general, we focus on analyzing MBANK Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build MBANK's daily price indicators and compare them against related drivers, such as overlap studies 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 MBANK's intrinsic value. In addition to deriving basic predictive indicators for MBANK, we also check how macroeconomic factors affect MBANK 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 MBANK'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
120.11122.25124.39
Details
Intrinsic
Valuation
LowRealHigh
113.91116.05134.48
Details

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Additional Tools for MBANK Stock Analysis

When running MBANK's price analysis, check to measure MBANK'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 MBANK is operating at the current time. Most of MBANK's value examination focuses on studying past and present price action to predict the probability of MBANK's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MBANK's price. Additionally, you may evaluate how the addition of MBANK to your portfolios can decrease your overall portfolio volatility.