Stratasys Stock Market Value
| SSYS Stock | USD 9.47 0.24 2.60% |
| Symbol | Stratasys |
Stratasys Price To Book Ratio
Is Stratasys' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Stratasys. If investors know Stratasys will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Stratasys listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.79) | Revenue Per Share 9.14 | Quarterly Revenue Growth (0.02) | Return On Assets (0.04) | Return On Equity (0.13) |
The market value of Stratasys is measured differently than its book value, which is the value of Stratasys that is recorded on the company's balance sheet. Investors also form their own opinion of Stratasys' value that differs from its market value or its book value, called intrinsic value, which is Stratasys' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Stratasys' market value can be influenced by many factors that don't directly affect Stratasys' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Stratasys' value and its price as these two are different measures arrived at by different means. Investors typically determine if Stratasys is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Stratasys' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 04/13/2024 |
| 05/13/2024 |
If you would invest 0.00 in Stratasys on April 13, 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 30 days. Stratasys is related to or competes with Nano Dimension, IONQ, DPCM Capital, Velo3D, Desktop Metal, 3D Systems, and HP. Stratasys Ltd. provides connected polymer-based 3D printing solutions 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.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 16.01 | |||
| Value At Risk | (4.25) | |||
| Potential Upside | 3.05 |
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 | (0.09) | |||
| Jensen Alpha | (0.64) | |||
| Total Risk Alpha | (0.80) | |||
| Treynor Ratio | (0.20) |
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.
Stratasys Backtested Returns
Stratasys owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.14, which indicates the firm had a -0.14% return per unit of risk over the last 3 months. Stratasys exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Stratasys' Variance of 7.89, coefficient of variation of (613.34), and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The entity has a beta of 2.31, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Stratasys will likely underperform. Stratasys has an expected return of -0.39%. Please make sure to validate Stratasys maximum drawdown, daily balance of power, as well as the relationship between the Daily Balance Of Power and period momentum indicator , to decide if Stratasys performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.39 |
Poor reverse predictability
Stratasys has poor reverse predictability. Overlapping area represents the amount of predictability between Stratasys time series from 13th of April 2024 to 28th of April 2024 and 28th of April 2024 to 13th of May 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 -0.39 indicates that just about 39.0% of current Stratasys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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 |
Stratasys Investors Sentiment
The influence of Stratasys' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Stratasys. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Stratasys' public news can be used to forecast risks associated with an investment in Stratasys. The trend in average sentiment can be used to explain how an investor holding Stratasys can time the market purely based on public headlines and social activities around Stratasys. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Stratasys' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Stratasys' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Stratasys' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Stratasys.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Stratasys in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Stratasys' short interest history, or implied volatility extrapolated from Stratasys options trading.
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Check out Stratasys Correlation, Stratasys Volatility and Stratasys Alpha and Beta module to complement your research on Stratasys. For more information on how to buy Stratasys Stock please use our How to Invest in Stratasys guide.You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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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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.