Stratasys (Germany) Technical Analysis
| SCY Stock | EUR 9.07 0.00 0.00% |
As of the 27th of December, Stratasys has the Coefficient Of Variation of 762.69, risk adjusted performance of 0.1121, and Semi Deviation of 3.01. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Stratasys, as well as the relationship between them. Please validate Stratasys treynor ratio, downside variance, kurtosis, as well as the relationship between the value at risk and expected short fall to decide if Stratasys is priced more or less accurately, providing market reflects its prevalent price of 9.07 per share.
Stratasys Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Stratasys, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StratasysStratasys |
Stratasys 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.
Stratasys Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Stratasys volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Stratasys Trend Analysis
Use this graph to draw trend lines for Stratasys. You can use it to identify possible trend reversals for Stratasys 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 Stratasys price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Stratasys Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Stratasys applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Stratasys will continue generating value for investors. It has 122 observation points and a regression sum of squares at 132.61, which is the sum of squared deviations for the predicted Stratasys price change compared to its average price change.About Stratasys 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 Stratasys 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 Stratasys based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Stratasys price pattern first instead of the macroeconomic environment surrounding Stratasys. By analyzing Stratasys'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 Stratasys'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 Stratasys specific price patterns or momentum indicators. Please read more on our technical analysis page.
Stratasys December 27, 2024 Technical Indicators
Most technical analysis of Stratasys 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 Stratasys from various momentum indicators to cycle indicators. When you analyze Stratasys 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1121 | |||
| Market Risk Adjusted Performance | (0.96) | |||
| Mean Deviation | 2.9 | |||
| Semi Deviation | 3.01 | |||
| Downside Deviation | 3.47 | |||
| Coefficient Of Variation | 762.69 | |||
| Standard Deviation | 3.99 | |||
| Variance | 15.9 | |||
| Information Ratio | 0.1178 | |||
| Jensen Alpha | 0.5357 | |||
| Total Risk Alpha | 0.2955 | |||
| Sortino Ratio | 0.1355 | |||
| Treynor Ratio | (0.97) | |||
| Maximum Drawdown | 21.51 | |||
| Value At Risk | (5.28) | |||
| Potential Upside | 6.5 | |||
| Downside Variance | 12.01 | |||
| Semi Variance | 9.09 | |||
| Expected Short fall | (3.22) | |||
| Skewness | 0.8718 | |||
| Kurtosis | 2.55 |
Complementary Tools for Stratasys Stock analysis
When running Stratasys' price analysis, check to measure Stratasys' 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 Stratasys is operating at the current time. Most of Stratasys' value examination focuses on studying past and present price action to predict the probability of Stratasys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Stratasys' price. Additionally, you may evaluate how the addition of Stratasys to your portfolios can decrease your overall portfolio volatility.
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