Mhlbauer Holding (Germany) Statistic Functions Beta
MUB Stock | 36.60 1.20 3.39% |
Symbol |
The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on Mhlbauer Holding correlated with the market. If Beta is less than 0 Mhlbauer Holding generally moves in the opposite direction as compared to the market. If Mhlbauer Holding Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Mhlbauer Holding is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Mhlbauer Holding is generally in the same direction as the market. If Beta > 1 Mhlbauer Holding moves generally in the same direction as, but more than the movement of the benchmark.
Mhlbauer Holding Technical Analysis Modules
Most technical analysis of Mhlbauer Holding 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 Mhlbauer from various momentum indicators to cycle indicators. When you analyze Mhlbauer 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.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Mhlbauer Holding 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 Mhlbauer Holding AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Mhlbauer Holding AG based on widely used predictive technical indicators. In general, we focus on analyzing Mhlbauer Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Mhlbauer Holding's daily price indicators and compare them against related drivers, such as statistic functions 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 Mhlbauer Holding's intrinsic value. In addition to deriving basic predictive indicators for Mhlbauer Holding, we also check how macroeconomic factors affect Mhlbauer Holding 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 Mhlbauer Holding'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.
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Additional Tools for Mhlbauer Stock Analysis
When running Mhlbauer Holding's price analysis, check to measure Mhlbauer Holding'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 Mhlbauer Holding is operating at the current time. Most of Mhlbauer Holding's value examination focuses on studying past and present price action to predict the probability of Mhlbauer Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mhlbauer Holding's price. Additionally, you may evaluate how the addition of Mhlbauer Holding to your portfolios can decrease your overall portfolio volatility.