SM WIRTSCHAFTSBER (Germany) Technical Analysis
| SMWN Stock | EUR 4.70 0.10 2.17% |
As of the 11th of December 2024, SM WIRTSCHAFTSBER owns the Mean Deviation of 1.16, standard deviation of 3.25, and Risk Adjusted Performance of (0.05). In connection with fundamental indicators, the technical analysis model makes it possible for you to check timely technical drivers of SM WIRTSCHAFTSBER, as well as the relationship between them. Please validate SM WIRTSCHAFTSBER coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if SM WIRTSCHAFTSBER N is priced adequately, providing market reflects its prevailing price of 4.7 per share.
SM WIRTSCHAFTSBER Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SMWN, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SMWNSMWN |
SM WIRTSCHAFTSBER 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.
SM WIRTSCHAFTSBER Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 SM WIRTSCHAFTSBER volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SM WIRTSCHAFTSBER Trend Analysis
Use this graph to draw trend lines for SM WIRTSCHAFTSBER N. You can use it to identify possible trend reversals for SM WIRTSCHAFTSBER 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 SM WIRTSCHAFTSBER price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SM WIRTSCHAFTSBER Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SM WIRTSCHAFTSBER N applied against its price change over selected period. The best fit line has a slop of 0.03 , which may suggest that SM WIRTSCHAFTSBER N market price will keep on failing further. It has 122 observation points and a regression sum of squares at 43.17, which is the sum of squared deviations for the predicted SM WIRTSCHAFTSBER price change compared to its average price change.About SM WIRTSCHAFTSBER 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 SM WIRTSCHAFTSBER N 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 SM WIRTSCHAFTSBER N based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SM WIRTSCHAFTSBER price pattern first instead of the macroeconomic environment surrounding SM WIRTSCHAFTSBER. By analyzing SM WIRTSCHAFTSBER'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 SM WIRTSCHAFTSBER'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 SM WIRTSCHAFTSBER specific price patterns or momentum indicators. Please read more on our technical analysis page.
SM WIRTSCHAFTSBER December 11, 2024 Technical Indicators
Most technical analysis of SMWN 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 SMWN from various momentum indicators to cycle indicators. When you analyze SMWN 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 | (0.05) | |||
| Market Risk Adjusted Performance | (0.34) | |||
| Mean Deviation | 1.16 | |||
| Coefficient Of Variation | (1,268) | |||
| Standard Deviation | 3.25 | |||
| Variance | 10.56 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.35) | |||
| Total Risk Alpha | (0.78) | |||
| Treynor Ratio | (0.35) | |||
| Maximum Drawdown | 30.05 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 2.0 | |||
| Skewness | (4.60) | |||
| Kurtosis | 34.59 |
Complementary Tools for SMWN Stock analysis
When running SM WIRTSCHAFTSBER's price analysis, check to measure SM WIRTSCHAFTSBER'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 SM WIRTSCHAFTSBER is operating at the current time. Most of SM WIRTSCHAFTSBER's value examination focuses on studying past and present price action to predict the probability of SM WIRTSCHAFTSBER's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SM WIRTSCHAFTSBER's price. Additionally, you may evaluate how the addition of SM WIRTSCHAFTSBER to your portfolios can decrease your overall portfolio volatility.
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