Shyft (Germany) Technical Analysis
| SP8 Stock | EUR 11.30 0.50 4.63% |
As of the 29th of December, Shyft has the Semi Deviation of 3.01, risk adjusted performance of 0.0256, and Coefficient Of Variation of 4457.16. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Shyft Group, as well as the relationship between them. Please validate Shyft Group downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Shyft is priced more or less accurately, providing market reflects its prevalent price of 11.3 per share.
Shyft Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Shyft, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShyftShyft |
Shyft 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.
Shyft Group 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 Shyft Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Shyft Group Trend Analysis
Use this graph to draw trend lines for The Shyft Group. You can use it to identify possible trend reversals for Shyft 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 Shyft price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Shyft Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The Shyft Group applied against its price change over selected period. The best fit line has a slop of 0.02 , which means The Shyft Group will continue generating value for investors. It has 122 observation points and a regression sum of squares at 23.39, which is the sum of squared deviations for the predicted Shyft price change compared to its average price change.About Shyft 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 The Shyft Group 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 The Shyft Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Shyft Group price pattern first instead of the macroeconomic environment surrounding Shyft Group. By analyzing Shyft'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 Shyft'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 Shyft specific price patterns or momentum indicators. Please read more on our technical analysis page.
Shyft December 29, 2024 Technical Indicators
Most technical analysis of Shyft 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 Shyft from various momentum indicators to cycle indicators. When you analyze Shyft 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 | 0.0256 | |||
| Market Risk Adjusted Performance | 0.1726 | |||
| Mean Deviation | 2.31 | |||
| Semi Deviation | 3.01 | |||
| Downside Deviation | 3.49 | |||
| Coefficient Of Variation | 4457.16 | |||
| Standard Deviation | 3.54 | |||
| Variance | 12.52 | |||
| Information Ratio | 0.0133 | |||
| Jensen Alpha | 0.0599 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0135 | |||
| Treynor Ratio | 0.1626 | |||
| Maximum Drawdown | 25.84 | |||
| Value At Risk | (5.15) | |||
| Potential Upside | 4.8 | |||
| Downside Variance | 12.19 | |||
| Semi Variance | 9.06 | |||
| Expected Short fall | (2.71) | |||
| Skewness | 0.9854 | |||
| Kurtosis | 5.75 |
Complementary Tools for Shyft Stock analysis
When running Shyft's price analysis, check to measure Shyft'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 Shyft is operating at the current time. Most of Shyft's value examination focuses on studying past and present price action to predict the probability of Shyft's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shyft's price. Additionally, you may evaluate how the addition of Shyft to your portfolios can decrease your overall portfolio volatility.
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