Airborne Wireless Network Stock Probability of Future Pink Sheet Price Finishing Over 1.0E-4
| ABWN Stock | USD 0.0001 0.00 0.00% |
Airborne |
Airborne Wireless Target Price Odds to finish over 1.0E-4
The tendency of Airborne Pink Sheet 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 |
| 0.0001 | 90 days | 0.0001 | about 16.85 |
Based on a normal probability distribution, the odds of Airborne Wireless to move above the current price in 90 days from now is about 16.85 (This Airborne Wireless Network probability density function shows the probability of Airborne Pink Sheet to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days Airborne Wireless has the beta coefficient that is very close to zero. This suggests the returns on DOW JONES INDUSTRIAL and Airborne Wireless do not appear to be highly reactive. Additionally It does not look like Airborne Wireless' alpha can have any bearing on the current valuation. Airborne Wireless Price Density |
| Price |
Predictive Modules for Airborne Wireless
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Airborne Wireless Network. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Airborne Wireless' 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.
Airborne Wireless Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Airborne Wireless is not an exception. The market had few large corrections towards the Airborne Wireless' 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 Airborne Wireless Network, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Airborne Wireless within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.00 | |
β | Beta against Dow Jones | 0.00 | |
σ | Overall volatility | 0.00005 | |
Ir | Information ratio | 0.00 |
Airborne Wireless 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 Airborne Wireless for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Airborne Wireless 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.| Airborne Wireless is way too risky over 90 days horizon | |
| Airborne Wireless has some characteristics of a very speculative penny stock | |
| Airborne Wireless appears to be risky and price may revert if volatility continues | |
| Airborne Wireless has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations | |
| Net Loss for the year was (76.68 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Airborne Wireless Network currently holds about 11.51 K in cash with (15.3 M) of positive cash flow from operations. |
Airborne Wireless 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 Airborne Pink Sheet often depends not only on the future outlook of the current and potential Airborne Wireless' 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. Airborne Wireless' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 684.3 K |
Airborne Wireless Technical Analysis
Airborne Wireless' future price can be derived by breaking down and analyzing its technical indicators over time. Airborne Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Airborne Wireless Network. In general, you should focus on analyzing Airborne Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Airborne Wireless Predictive Forecast Models
Airborne Wireless' time-series forecasting models is one of many Airborne Wireless' pink sheet 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 Airborne Wireless' 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 pink sheet market movement and maximize returns from investment trading.
Things to note about Airborne Wireless Network
Checking the ongoing alerts about Airborne Wireless for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Airborne Wireless Network help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Airborne Wireless is way too risky over 90 days horizon | |
| Airborne Wireless has some characteristics of a very speculative penny stock | |
| Airborne Wireless appears to be risky and price may revert if volatility continues | |
| Airborne Wireless has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations | |
| Net Loss for the year was (76.68 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Airborne Wireless Network currently holds about 11.51 K in cash with (15.3 M) of positive cash flow from operations. |
Other Information on Investing in Airborne Pink Sheet
Airborne Wireless financial ratios help investors to determine whether Airborne Pink Sheet 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 Airborne with respect to the benefits of owning Airborne Wireless security.