Aurora Solar Technologies Stock Probability of Future Pink Sheet Price Finishing Over 0.018
| AACTF Stock | USD 0.01 0.0004 2.67% |
Aurora |
Aurora Solar Target Price Odds to finish over 0.018
The tendency of Aurora 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 over $ 0.02 or more in 90 days |
| 0.01 | 90 days | 0.02 | about 80.77 |
Based on a normal probability distribution, the odds of Aurora Solar to move over $ 0.02 or more in 90 days from now is about 80.77 (This Aurora Solar Technologies probability density function shows the probability of Aurora Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Aurora Solar Technologies price to stay between its current price of $ 0.01 and $ 0.02 at the end of the 90-day period is about 15.81 .
Assuming the 90 days horizon Aurora Solar Technologies has a beta of -2.92. This suggests as returns on its benchmark rise, returns on holding Aurora Solar Technologies are expected to decrease by similarly larger amounts. On the other hand, during market turmoils, Aurora Solar is expected to outperform its benchmark. Additionally Aurora Solar Technologies 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. Aurora Solar Price Density |
| Price |
Predictive Modules for Aurora Solar
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aurora Solar Technologies. 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 Aurora Solar'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.
Aurora Solar Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Aurora Solar is not an exception. The market had few large corrections towards the Aurora Solar'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 Aurora Solar Technologies, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Aurora Solar within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.06 | |
β | Beta against Dow Jones | -2.92 | |
σ | Overall volatility | 0 | |
Ir | Information ratio | -0.04 |
Aurora Solar 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 Aurora Solar for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Aurora Solar Technologies can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Aurora Solar generated a negative expected return over the last 90 days | |
| Aurora Solar has high historical volatility and very poor performance | |
| Aurora Solar has some characteristics of a very speculative penny stock | |
| Net Loss for the year was (4.25 M) with profit before overhead, payroll, taxes, and interest of 471.76 K. | |
| Aurora Solar Technologies has accumulated about 1.14 M in cash with (3.85 M) of positive cash flow from operations. |
Aurora Solar 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 Aurora Pink Sheet often depends not only on the future outlook of the current and potential Aurora Solar'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. Aurora Solar's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 145 M | |
| Shares Float | 194.8 M |
Aurora Solar Technical Analysis
Aurora Solar's future price can be derived by breaking down and analyzing its technical indicators over time. Aurora Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Aurora Solar Technologies. In general, you should focus on analyzing Aurora Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Aurora Solar Predictive Forecast Models
Aurora Solar's time-series forecasting models is one of many Aurora Solar's 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 Aurora Solar'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 pink sheet market movement and maximize returns from investment trading.
Things to note about Aurora Solar Technologies
Checking the ongoing alerts about Aurora Solar for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Aurora Solar Technologies help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Aurora Solar generated a negative expected return over the last 90 days | |
| Aurora Solar has high historical volatility and very poor performance | |
| Aurora Solar has some characteristics of a very speculative penny stock | |
| Net Loss for the year was (4.25 M) with profit before overhead, payroll, taxes, and interest of 471.76 K. | |
| Aurora Solar Technologies has accumulated about 1.14 M in cash with (3.85 M) of positive cash flow from operations. |
Other Information on Investing in Aurora Pink Sheet
Aurora Solar financial ratios help investors to determine whether Aurora 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 Aurora with respect to the benefits of owning Aurora Solar security.