Maschinenfabrik Berthold (Germany) Technical Analysis
MBH3 Stock | EUR 162.50 2.50 1.56% |
As of the 28th of December, Maschinenfabrik Berthold secures the Risk Adjusted Performance of (0.12), mean deviation of 1.42, and Standard Deviation of 1.84. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Maschinenfabrik Berthold, as well as the relationship between them. Please verify Maschinenfabrik Berthold coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if Maschinenfabrik Berthold Hermle is priced some-what accurately, providing market reflects its recent price of 162.5 per share.
Maschinenfabrik Berthold Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Maschinenfabrik, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MaschinenfabrikMaschinenfabrik |
Maschinenfabrik Berthold 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.
Maschinenfabrik Berthold Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Maschinenfabrik Berthold volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Maschinenfabrik Berthold Trend Analysis
Use this graph to draw trend lines for Maschinenfabrik Berthold Hermle. You can use it to identify possible trend reversals for Maschinenfabrik Berthold 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 Maschinenfabrik Berthold price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Maschinenfabrik Berthold Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Maschinenfabrik Berthold Hermle applied against its price change over selected period. The best fit line has a slop of 0.67 , which may suggest that Maschinenfabrik Berthold Hermle market price will keep on failing further. It has 122 observation points and a regression sum of squares at 17070.79, which is the sum of squared deviations for the predicted Maschinenfabrik Berthold price change compared to its average price change.About Maschinenfabrik Berthold 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 Maschinenfabrik Berthold Hermle 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 Maschinenfabrik Berthold Hermle based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Maschinenfabrik Berthold price pattern first instead of the macroeconomic environment surrounding Maschinenfabrik Berthold. By analyzing Maschinenfabrik Berthold'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 Maschinenfabrik Berthold'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 Maschinenfabrik Berthold specific price patterns or momentum indicators. Please read more on our technical analysis page.
Maschinenfabrik Berthold December 28, 2024 Technical Indicators
Most technical analysis of Maschinenfabrik 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 Maschinenfabrik from various momentum indicators to cycle indicators. When you analyze Maschinenfabrik 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 | (0.12) | |||
Market Risk Adjusted Performance | 0.4937 | |||
Mean Deviation | 1.42 | |||
Coefficient Of Variation | (653.55) | |||
Standard Deviation | 1.84 | |||
Variance | 3.4 | |||
Information Ratio | (0.17) | |||
Jensen Alpha | (0.28) | |||
Total Risk Alpha | (0.34) | |||
Treynor Ratio | 0.4837 | |||
Maximum Drawdown | 7.61 | |||
Value At Risk | (3.00) | |||
Potential Upside | 3.46 | |||
Skewness | 0.5041 | |||
Kurtosis | 0.0268 |
Complementary Tools for Maschinenfabrik Stock analysis
When running Maschinenfabrik Berthold's price analysis, check to measure Maschinenfabrik Berthold'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 Maschinenfabrik Berthold is operating at the current time. Most of Maschinenfabrik Berthold's value examination focuses on studying past and present price action to predict the probability of Maschinenfabrik Berthold's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Maschinenfabrik Berthold's price. Additionally, you may evaluate how the addition of Maschinenfabrik Berthold to your portfolios can decrease your overall portfolio volatility.
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