SCIENCE IN (Germany) Probability of Future Stock Price Finishing Over 0.3
| 8D9 Stock | EUR 0.29 0.01 3.33% |
SCIENCE |
SCIENCE IN Target Price Odds to finish over 0.3
The tendency of SCIENCE Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over € 0.30 or more in 90 days |
| 0.29 | 90 days | 0.30 | roughly 2.96 |
Based on a normal probability distribution, the odds of SCIENCE IN to move over € 0.30 or more in 90 days from now is roughly 2.96 (This SCIENCE IN SPORT probability density function shows the probability of SCIENCE Stock to fall within a particular range of prices over 90 days) . Probability of SCIENCE IN SPORT price to stay between its current price of € 0.29 and € 0.30 at the end of the 90-day period is about 14.31 .
Assuming the 90 days horizon SCIENCE IN SPORT has a beta of -0.0919. This suggests as returns on the benchmark increase, returns on holding SCIENCE IN are expected to decrease at a much lower rate. During a bear market, however, SCIENCE IN SPORT is likely to outperform the market. Additionally SCIENCE IN SPORT has an alpha of 0.1288, implying that it can generate a 0.13 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SCIENCE IN Price Density |
| Price |
Predictive Modules for SCIENCE IN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SCIENCE IN SPORT. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.SCIENCE IN Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SCIENCE IN is not an exception. The market had few large corrections towards the SCIENCE IN's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold SCIENCE IN SPORT, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SCIENCE IN within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.13 | |
β | Beta against Dow Jones | -0.09 | |
σ | Overall volatility | 0.01 | |
Ir | Information ratio | -0.0016 |
SCIENCE IN Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of SCIENCE IN for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SCIENCE IN SPORT can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| SCIENCE IN SPORT has some characteristics of a very speculative penny stock | |
| The company reported the revenue of 65.55 M. Net Loss for the year was (1.73 M) with profit before overhead, payroll, taxes, and interest of 31.35 M. | |
| Over 94.0% of the company shares are owned by institutions such as pension funds |
SCIENCE IN Technical Analysis
SCIENCE IN's future price can be derived by breaking down and analyzing its technical indicators over time. SCIENCE Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SCIENCE IN SPORT. In general, you should focus on analyzing SCIENCE Stock price patterns and their correlations with different microeconomic environments and drivers.
SCIENCE IN Predictive Forecast Models
SCIENCE IN's time-series forecasting models is one of many SCIENCE IN's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary SCIENCE IN's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about SCIENCE IN SPORT
Checking the ongoing alerts about SCIENCE IN for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SCIENCE IN SPORT help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| SCIENCE IN SPORT has some characteristics of a very speculative penny stock | |
| The company reported the revenue of 65.55 M. Net Loss for the year was (1.73 M) with profit before overhead, payroll, taxes, and interest of 31.35 M. | |
| Over 94.0% of the company shares are owned by institutions such as pension funds |
Other Information on Investing in SCIENCE Stock
SCIENCE IN financial ratios help investors to determine whether SCIENCE Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SCIENCE with respect to the benefits of owning SCIENCE IN security.