Stratasys (Germany) Market Value
| SCY Stock | EUR 9.07 0.00 0.00% |
| Symbol | Stratasys |
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.
| 10/27/2024 |
| 12/26/2024 |
If you would invest 0.00 in Stratasys on October 27, 2024 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 60 days. Stratasys is related to or competes with Arista Networks, Lenovo Group, Lenovo Group, Legend Holdings, Acer Incorporated, and Toshiba Tec. 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 | 3.47 | |||
| Information Ratio | 0.1199 | |||
| Maximum Drawdown | 21.51 | |||
| Value At Risk | (5.28) | |||
| Potential Upside | 6.5 |
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 | 0.1128 | |||
| Jensen Alpha | 0.4868 | |||
| Total Risk Alpha | 0.3396 | |||
| Sortino Ratio | 0.1379 | |||
| Treynor Ratio | 0.6851 |
Stratasys Backtested Returns
Stratasys appears to be slightly risky, given 3 months investment horizon. Stratasys owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Stratasys, which you can use to evaluate the volatility of the company. Please review Stratasys' Coefficient Of Variation of 762.69, semi deviation of 3.01, and Risk Adjusted Performance of 0.1128 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Stratasys holds a performance score of 9. The entity has a beta of 0.75, 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. Please check Stratasys' downside variance, kurtosis, and the relationship between the value at risk and expected short fall , to make a quick decision on whether Stratasys' existing price patterns will revert.
Auto-correlation | 0.60 |
Good predictability
Stratasys has good predictability. Overlapping area represents the amount of predictability between Stratasys time series from 27th of October 2024 to 26th of November 2024 and 26th of November 2024 to 26th of December 2024. 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 0.6 indicates that roughly 60.0% of current Stratasys price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Stratasys lagged returns against current returns
Autocorrelation, which is Stratasys stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Stratasys' stock expected returns. We can calculate the autocorrelation of Stratasys returns to help us make a trade decision. For example, suppose you find that Stratasys has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Stratasys regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Stratasys stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Stratasys stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Stratasys stock over time.
Current vs Lagged Prices |
| Timeline |
Stratasys Lagged Returns
When evaluating Stratasys' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Stratasys stock have on its future price. Stratasys autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Stratasys autocorrelation shows the relationship between Stratasys stock current value and its past values and can show if there is a momentum factor associated with investing in Stratasys.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Stratasys Stock
When determining whether Stratasys is a strong investment it is important to analyze Stratasys' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Stratasys' future performance. For an informed investment choice regarding Stratasys Stock, refer to the following important reports:Check out Stratasys Correlation, Stratasys Volatility and Stratasys Alpha and Beta module to complement your research on Stratasys. For more detail on how to invest in Stratasys Stock please use our How to Invest in Stratasys guide.You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
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.