Stratasys Stock Momentum Indicators Average Directional Movement Index
| SSYS Stock | USD 7.79 0.66 9.26% |
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The output start index for this execution was twenty-seven with a total number of output elements of thirty-four. The average directional index (ADX) measures the strength of a prevailing trend of Stratasys and whether movement exists in the market. The ADX is measured on a scale of 0 to 100. A low Stratasys ADX value usually indicates a non-trending market with low volumes, whereas a cross above 20 may indicate the start of a trend. If the ADX is over 40 and begins to fall, it can indicate the slowdown of a current trend. This indicator can also be used to identify non-trending markets, or a deterioration of an ongoing trend. Although market direction is important in its calculation, the ADX is not a directional indicator
Stratasys Technical Analysis Modules
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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
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| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Stratasys 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 Stratasys. We use our internally-developed statistical techniques to arrive at the intrinsic value of Stratasys based on widely used predictive technical indicators. In general, we focus on analyzing Stratasys Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Stratasys's daily price indicators and compare them against related drivers, such as momentum indicators 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 Stratasys's intrinsic value. In addition to deriving basic predictive indicators for Stratasys, we also check how macroeconomic factors affect Stratasys price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 77.77 | 81.09 | 100.04 | 100.34 | PTB Ratio | 1.63 | 0.82 | 1.11 | 1.05 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stratasys' 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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Technical AnalysisCheck basic technical indicators and analysis based on most latest market data |
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Additional 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.