Evolutionary Genomics Stock Probability of Future Pink Sheet Price Finishing Over 2.0E-4
| FNAM Stock | USD 0.0002 0.00 0.00% |
Evolutionary |
Evolutionary Genomics 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 Evolutionary Genomics for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Evolutionary Genomics can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Evolutionary Genomics generated a negative expected return over the last 90 days | |
| Evolutionary Genomics has some characteristics of a very speculative penny stock | |
| Net Loss for the year was (2.79 M) with loss before overhead, payroll, taxes, and interest of (1.23 M). | |
| Evolutionary Genomics currently holds about 897.78 K in cash with (1.58 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.14, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
| Roughly 33.0% of the company shares are held by company insiders |
Evolutionary Genomics Technical Analysis
Evolutionary Genomics' future price can be derived by breaking down and analyzing its technical indicators over time. Evolutionary Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Evolutionary Genomics. In general, you should focus on analyzing Evolutionary Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Evolutionary Genomics Predictive Forecast Models
Evolutionary Genomics' time-series forecasting models is one of many Evolutionary Genomics' 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 Evolutionary Genomics' 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 Evolutionary Genomics
Checking the ongoing alerts about Evolutionary Genomics for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Evolutionary Genomics help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Evolutionary Genomics generated a negative expected return over the last 90 days | |
| Evolutionary Genomics has some characteristics of a very speculative penny stock | |
| Net Loss for the year was (2.79 M) with loss before overhead, payroll, taxes, and interest of (1.23 M). | |
| Evolutionary Genomics currently holds about 897.78 K in cash with (1.58 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.14, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
| Roughly 33.0% of the company shares are held by company insiders |
Other Information on Investing in Evolutionary Pink Sheet
Evolutionary Genomics financial ratios help investors to determine whether Evolutionary 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 Evolutionary with respect to the benefits of owning Evolutionary Genomics security.