Xlife Sciences (Switzerland) Probability of Future Stock Price Finishing Over 33.00
| XLS Stock | 33.00 0.80 2.48% |
Xlife |
Xlife Sciences Target Price Odds to finish over 33.00
The tendency of Xlife 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 above the current price in 90 days |
| 33.00 | 90 days | 33.00 | about 86.03 |
Based on a normal probability distribution, the odds of Xlife Sciences to move above the current price in 90 days from now is about 86.03 (This Xlife Sciences AG probability density function shows the probability of Xlife Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Xlife Sciences AG has a beta of -0.7. This entails as returns on the benchmark increase, returns on holding Xlife Sciences are expected to decrease at a much lower rate. During a bear market, however, Xlife Sciences AG is likely to outperform the market. Additionally Xlife Sciences AG has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. Xlife Sciences Price Density |
| Price |
Predictive Modules for Xlife Sciences
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Xlife Sciences AG. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xlife Sciences' 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.
Xlife Sciences Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Xlife Sciences is not an exception. The market had few large corrections towards the Xlife Sciences' 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 Xlife Sciences AG, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Xlife Sciences within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | -0.36 | |
β | Beta against NYSE Composite | -0.7 | |
σ | Overall volatility | 5.63 | |
Ir | Information ratio | -0.11 |
Xlife Sciences 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 Xlife Sciences for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Xlife Sciences AG can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Xlife Sciences AG generated a negative expected return over the last 90 days | |
| Xlife Sciences AG has high historical volatility and very poor performance | |
| Xlife Sciences AG has high likelihood to experience some financial distress in the next 2 years | |
| Xlife Sciences AG has accumulated about 1.96 M in cash with (4.32 M) of positive cash flow from operations. | |
| Roughly 54.0% of the company outstanding shares are owned by insiders |
Xlife Sciences Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Xlife Stock often depends not only on the future outlook of the current and potential Xlife Sciences' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Xlife Sciences' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 5.1 M | |
| Cash And Short Term Investments | 2 M |
Xlife Sciences Technical Analysis
Xlife Sciences' future price can be derived by breaking down and analyzing its technical indicators over time. Xlife Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Xlife Sciences AG. In general, you should focus on analyzing Xlife Stock price patterns and their correlations with different microeconomic environments and drivers.
Xlife Sciences Predictive Forecast Models
Xlife Sciences' time-series forecasting models is one of many Xlife Sciences' 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 Xlife Sciences' 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 Xlife Sciences AG
Checking the ongoing alerts about Xlife Sciences for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Xlife Sciences AG help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Xlife Sciences AG generated a negative expected return over the last 90 days | |
| Xlife Sciences AG has high historical volatility and very poor performance | |
| Xlife Sciences AG has high likelihood to experience some financial distress in the next 2 years | |
| Xlife Sciences AG has accumulated about 1.96 M in cash with (4.32 M) of positive cash flow from operations. | |
| Roughly 54.0% of the company outstanding shares are owned by insiders |
Additional Tools for Xlife Stock Analysis
When running Xlife Sciences' price analysis, check to measure Xlife Sciences' 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 Xlife Sciences is operating at the current time. Most of Xlife Sciences' value examination focuses on studying past and present price action to predict the probability of Xlife Sciences' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xlife Sciences' price. Additionally, you may evaluate how the addition of Xlife Sciences to your portfolios can decrease your overall portfolio volatility.