Stratasys (Germany) Technical Analysis
| SCY Stock | EUR 7.95 0.10 1.24% |
As of the 4th of March, Stratasys has the Coefficient Of Variation of 2012.38, risk adjusted performance of 0.0457, and Semi Deviation of 3.45. 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 7.95 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Stratasys' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Stratasys.
| 12/04/2025 |
| 03/04/2026 |
If you would invest 0.00 in Stratasys on December 4, 2025 and sell it all today you would earn a total of 0.00 from holding Stratasys or generate 0.0% return on investment in Stratasys over 90 days. Stratasys is related to or competes with Superior Plus, AUREA SA, Franklin Global, Intel, Volkswagen, Bitwise Core, and Reliance Steel. Stratasys Ltd. provides 3D printing and additive manufacturing solutions for individuals, businesses, and enterprises More
Stratasys Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Stratasys' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Stratasys upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.59 | |||
| Information Ratio | 0.0389 | |||
| Maximum Drawdown | 37.39 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 7.09 |
Stratasys Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stratasys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stratasys' standard deviation. In reality, there are many statistical measures that can use Stratasys historical prices to predict the future Stratasys' volatility.| Risk Adjusted Performance | 0.0457 | |||
| Jensen Alpha | 0.1776 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | 0.2649 |
Stratasys March 4, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0457 | |||
| Market Risk Adjusted Performance | 0.2749 | |||
| Mean Deviation | 2.54 | |||
| Semi Deviation | 3.45 | |||
| Downside Deviation | 3.59 | |||
| Coefficient Of Variation | 2012.38 | |||
| Standard Deviation | 4.35 | |||
| Variance | 18.95 | |||
| Information Ratio | 0.0389 | |||
| Jensen Alpha | 0.1776 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | 0.2649 | |||
| Maximum Drawdown | 37.39 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 7.09 | |||
| Downside Variance | 12.92 | |||
| Semi Variance | 11.89 | |||
| Expected Short fall | (2.75) | |||
| Skewness | 2.14 | |||
| Kurtosis | 13.87 |
Stratasys Backtested Returns
At this point, Stratasys is slightly risky. Stratasys owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0375, which indicates the firm had a 0.0375 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Stratasys, which you can use to evaluate the volatility of the company. Please validate Stratasys' Semi Deviation of 3.45, coefficient of variation of 2012.38, and Risk Adjusted Performance of 0.0457 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. Stratasys has a performance score of 2 on a scale of 0 to 100. The entity has a beta of 0.78, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Stratasys' returns are expected to increase less than the market. However, during the bear market, the loss of holding Stratasys is expected to be smaller as well. Stratasys right now has a risk of 4.55%. 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 will be following its existing price patterns.
Auto-correlation | -0.66 |
Very good reverse predictability
Stratasys has very good reverse predictability. Overlapping area represents the amount of predictability between Stratasys time series from 4th of December 2025 to 18th of January 2026 and 18th of January 2026 to 4th of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Stratasys price movement. The serial correlation of -0.66 indicates that around 66.0% of current Stratasys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
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
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Stratasys across different markets.
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 March 4, 2026 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0457 | |||
| Market Risk Adjusted Performance | 0.2749 | |||
| Mean Deviation | 2.54 | |||
| Semi Deviation | 3.45 | |||
| Downside Deviation | 3.59 | |||
| Coefficient Of Variation | 2012.38 | |||
| Standard Deviation | 4.35 | |||
| Variance | 18.95 | |||
| Information Ratio | 0.0389 | |||
| Jensen Alpha | 0.1776 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | 0.2649 | |||
| Maximum Drawdown | 37.39 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 7.09 | |||
| Downside Variance | 12.92 | |||
| Semi Variance | 11.89 | |||
| Expected Short fall | (2.75) | |||
| Skewness | 2.14 | |||
| Kurtosis | 13.87 |
Stratasys March 4, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Stratasys stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 63.86 | ||
| Daily Balance Of Power | (0.43) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 8.03 | ||
| Day Typical Price | 8.00 | ||
| Price Action Indicator | (0.13) | ||
| Market Facilitation Index | 0.0001 |
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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