Biomotion Sciences Ordinary Stock Probability of Future Stock Price Finishing Over 3.17
| SLXN Stock | 3.17 0.42 15.27% |
Biomotion | Build AI portfolio with Biomotion Stock |
Biomotion Sciences Target Price Odds to finish over 3.17
The tendency of Biomotion 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 |
| 3.17 | 90 days | 3.17 | about 64.92 |
Based on a normal probability distribution, the odds of Biomotion Sciences to move above the current price in 90 days from now is about 64.92 (This Biomotion Sciences Ordinary probability density function shows the probability of Biomotion Stock to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days the stock has the beta coefficient of 2.67 . This usually implies as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Biomotion Sciences will likely underperform. Additionally Biomotion Sciences Ordinary has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Biomotion Sciences Price Density |
| Price |
Predictive Modules for Biomotion 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 Biomotion Sciences. 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 Biomotion 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.
Biomotion Sciences Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Biomotion Sciences is not an exception. The market had few large corrections towards the Biomotion 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 Biomotion Sciences Ordinary, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Biomotion Sciences within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -1.2 | |
β | Beta against Dow Jones | 2.67 | |
σ | Overall volatility | 1.07 | |
Ir | Information ratio | -0.16 |
Biomotion 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 Biomotion Sciences for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Biomotion Sciences can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Biomotion Sciences generated a negative expected return over the last 90 days | |
| Biomotion Sciences has high historical volatility and very poor performance | |
| Biomotion Sciences has a very high chance of going through financial distress in the upcoming years | |
| Net Loss for the year was (16.52 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Biomotion Sciences generates negative cash flow from operations | |
| Biomotion Sciences has a frail financial position based on the latest SEC disclosures | |
| Latest headline from finance.yahoo.com: Salesforce Reports Q3 CY2025 In Line With Expectations |
Biomotion 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 Biomotion Stock often depends not only on the future outlook of the current and potential Biomotion 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. Biomotion Sciences' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 6.2 M | |
| Cash And Short Term Investments | 1.2 M |
Biomotion Sciences Technical Analysis
Biomotion Sciences' future price can be derived by breaking down and analyzing its technical indicators over time. Biomotion Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Biomotion Sciences Ordinary. In general, you should focus on analyzing Biomotion Stock price patterns and their correlations with different microeconomic environments and drivers.
Biomotion Sciences Predictive Forecast Models
Biomotion Sciences' time-series forecasting models is one of many Biomotion 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 Biomotion 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 Biomotion Sciences
Checking the ongoing alerts about Biomotion Sciences for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Biomotion Sciences help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Biomotion Sciences generated a negative expected return over the last 90 days | |
| Biomotion Sciences has high historical volatility and very poor performance | |
| Biomotion Sciences has a very high chance of going through financial distress in the upcoming years | |
| Net Loss for the year was (16.52 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Biomotion Sciences generates negative cash flow from operations | |
| Biomotion Sciences has a frail financial position based on the latest SEC disclosures | |
| Latest headline from finance.yahoo.com: Salesforce Reports Q3 CY2025 In Line With Expectations |
Check out Biomotion Sciences Backtesting, Biomotion Sciences Valuation, Biomotion Sciences Correlation, Biomotion Sciences Hype Analysis, Biomotion Sciences Volatility, Biomotion Sciences History as well as Biomotion Sciences Performance. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Is Biotechnology space 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 Biomotion Sciences. If investors know Biomotion 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 Biomotion Sciences listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Biomotion Sciences is measured differently than its book value, which is the value of Biomotion that is recorded on the company's balance sheet. Investors also form their own opinion of Biomotion Sciences' value that differs from its market value or its book value, called intrinsic value, which is Biomotion Sciences' 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 Biomotion Sciences' market value can be influenced by many factors that don't directly affect Biomotion Sciences' 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 Biomotion Sciences' value and its price as these two are different measures arrived at by different means. Investors typically determine if Biomotion Sciences is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Biomotion Sciences' 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.