Lobe Sciences Stock Probability of Future OTC Stock Price Finishing Over 0.001184
| LOBEF Stock | USD 0 0.0003 20.00% |
Lobe |
Lobe Sciences Target Price Odds to finish over 0.001184
The tendency of Lobe OTC 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 stay above $ 0 in 90 days |
| 0 | 90 days | 0 | about 70.75 |
Based on a normal probability distribution, the odds of Lobe Sciences to stay above $ 0 in 90 days from now is about 70.75 (This Lobe Sciences probability density function shows the probability of Lobe OTC Stock to fall within a particular range of prices over 90 days) . Probability of Lobe Sciences price to stay between $ 0 and its current price of $0.0012 at the end of the 90-day period is near 1 .
Assuming the 90 days horizon Lobe Sciences has a beta of -30.96. This indicates as returns on its benchmark rise, returns on holding Lobe Sciences are expected to decrease by similarly larger amounts. On the other hand, during market turmoils, Lobe Sciences is expected to outperform its benchmark. In addition to that Lobe Sciences has an alpha of 91.8508, implying that it can generate a 91.85 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Lobe Sciences Price Density |
| Price |
Predictive Modules for Lobe 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 Lobe Sciences. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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 Lobe 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.
Lobe Sciences Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Lobe Sciences is not an exception. The market had few large corrections towards the Lobe 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 Lobe Sciences, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Lobe Sciences within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 91.85 | |
β | Beta against Dow Jones | -30.96 | |
σ | Overall volatility | 0.01 | |
Ir | Information ratio | 0.30 |
Lobe 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 Lobe Sciences for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Lobe 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.| Lobe Sciences is way too risky over 90 days horizon | |
| Lobe Sciences has some characteristics of a very speculative penny stock | |
| Lobe Sciences appears to be risky and price may revert if volatility continues | |
| Lobe Sciences has high likelihood to experience some financial distress in the next 2 years | |
| Net Loss for the year was (12.25 M) with profit before overhead, payroll, taxes, and interest of 841.56 K. | |
| Lobe Sciences has accumulated about 1.38 M in cash with (2.73 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.04, which can makes it an attractive takeover target, given it will continue generating positive cash flow. |
Lobe 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 Lobe OTC Stock often depends not only on the future outlook of the current and potential Lobe 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. Lobe Sciences' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 38.5 M | |
| Shares Float | 73.8 M |
Lobe Sciences Technical Analysis
Lobe Sciences' future price can be derived by breaking down and analyzing its technical indicators over time. Lobe OTC Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Lobe Sciences. In general, you should focus on analyzing Lobe OTC Stock price patterns and their correlations with different microeconomic environments and drivers.
Lobe Sciences Predictive Forecast Models
Lobe Sciences' time-series forecasting models is one of many Lobe Sciences' otc 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 Lobe 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 otc stock market movement and maximize returns from investment trading.
Things to note about Lobe Sciences
Checking the ongoing alerts about Lobe Sciences for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Lobe Sciences help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Lobe Sciences is way too risky over 90 days horizon | |
| Lobe Sciences has some characteristics of a very speculative penny stock | |
| Lobe Sciences appears to be risky and price may revert if volatility continues | |
| Lobe Sciences has high likelihood to experience some financial distress in the next 2 years | |
| Net Loss for the year was (12.25 M) with profit before overhead, payroll, taxes, and interest of 841.56 K. | |
| Lobe Sciences has accumulated about 1.38 M in cash with (2.73 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.04, which can makes it an attractive takeover target, given it will continue generating positive cash flow. |
Other Information on Investing in Lobe OTC Stock
Lobe Sciences financial ratios help investors to determine whether Lobe OTC 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 Lobe with respect to the benefits of owning Lobe Sciences security.