Mobile Health Network Solutions Stock Probability of Future Stock Price Finishing Over 0.5
MNDR Stock | 0.29 0.01 3.57% |
Mobile |
Mobile Health Target Price Odds to finish over 0.5
The tendency of Mobile 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 0.50 or more in 90 days |
0.29 | 90 days | 0.50 | about 60.94 |
Based on a normal probability distribution, the odds of Mobile Health to move over 0.50 or more in 90 days from now is about 60.94 (This Mobile health Network Solutions probability density function shows the probability of Mobile Stock to fall within a particular range of prices over 90 days) . Probability of Mobile health Network price to stay between its current price of 0.29 and 0.50 at the end of the 90-day period is about 31.62 .
Given the investment horizon of 90 days the stock has the beta coefficient of 1.03 . This indicates Mobile health Network Solutions market returns are sensible to returns on the market. As the market goes up or down, Mobile Health is expected to follow. Additionally Mobile health Network Solutions 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. Mobile Health Price Density |
Price |
Predictive Modules for Mobile Health
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mobile health Network. 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 Mobile Health's 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.
Mobile Health Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Mobile Health is not an exception. The market had few large corrections towards the Mobile Health'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 Mobile health Network Solutions, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Mobile Health within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -1.45 | |
β | Beta against Dow Jones | 1.03 | |
σ | Overall volatility | 0.18 | |
Ir | Information ratio | -0.24 |
Mobile Health 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 Mobile Health for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Mobile health Network can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Mobile Health generated a negative expected return over the last 90 days | |
Mobile Health has high historical volatility and very poor performance | |
Mobile Health has some characteristics of a very speculative penny stock | |
The company reported the previous year's revenue of 10.36 M. Net Loss for the year was (15.6 M) with profit before overhead, payroll, taxes, and interest of 0. | |
Mobile Health generates negative cash flow from operations | |
About 28.0% of the company outstanding shares are owned by corporate insiders | |
Latest headline from gurufocus.com: Mobile-health Network Solutions to Present at Noble Capital Markets Twentieth Annual Emerging ... |
Mobile Health 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 Mobile Stock often depends not only on the future outlook of the current and potential Mobile Health's 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. Mobile Health's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 27.8 M | |
Cash And Short Term Investments | 6.7 M |
Mobile Health Technical Analysis
Mobile Health's future price can be derived by breaking down and analyzing its technical indicators over time. Mobile Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Mobile health Network Solutions. In general, you should focus on analyzing Mobile Stock price patterns and their correlations with different microeconomic environments and drivers.
Mobile Health Predictive Forecast Models
Mobile Health's time-series forecasting models is one of many Mobile Health'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 Mobile Health'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 Mobile health Network
Checking the ongoing alerts about Mobile Health for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Mobile health Network help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Mobile Health generated a negative expected return over the last 90 days | |
Mobile Health has high historical volatility and very poor performance | |
Mobile Health has some characteristics of a very speculative penny stock | |
The company reported the previous year's revenue of 10.36 M. Net Loss for the year was (15.6 M) with profit before overhead, payroll, taxes, and interest of 0. | |
Mobile Health generates negative cash flow from operations | |
About 28.0% of the company outstanding shares are owned by corporate insiders | |
Latest headline from gurufocus.com: Mobile-health Network Solutions to Present at Noble Capital Markets Twentieth Annual Emerging ... |
Additional Tools for Mobile Stock Analysis
When running Mobile Health's price analysis, check to measure Mobile Health's 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 Mobile Health is operating at the current time. Most of Mobile Health's value examination focuses on studying past and present price action to predict the probability of Mobile Health's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mobile Health's price. Additionally, you may evaluate how the addition of Mobile Health to your portfolios can decrease your overall portfolio volatility.