GREEN PLAINS (Germany) Probability of Future Stock Price Finishing Over 8.55
G3V Stock | 9.43 0.21 2.18% |
GREEN |
GREEN PLAINS 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 GREEN PLAINS for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for GREEN PLAINS can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.GREEN PLAINS generated a negative expected return over the last 90 days | |
GREEN PLAINS has high historical volatility and very poor performance | |
GREEN PLAINS has high likelihood to experience some financial distress in the next 2 years | |
The company reported the revenue of 2.83 B. Net Loss for the year was (65.99 M) with profit before overhead, payroll, taxes, and interest of 0. |
GREEN PLAINS 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 GREEN Stock often depends not only on the future outlook of the current and potential GREEN PLAINS'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. GREEN PLAINS's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 53.6 M | |
Dividends Paid | -9.3 M | |
Short Long Term Debt | 208.7 M |
GREEN PLAINS Technical Analysis
GREEN PLAINS's future price can be derived by breaking down and analyzing its technical indicators over time. GREEN Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GREEN PLAINS. In general, you should focus on analyzing GREEN Stock price patterns and their correlations with different microeconomic environments and drivers.
GREEN PLAINS Predictive Forecast Models
GREEN PLAINS's time-series forecasting models is one of many GREEN PLAINS'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 GREEN PLAINS'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 GREEN PLAINS
Checking the ongoing alerts about GREEN PLAINS for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for GREEN PLAINS help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
GREEN PLAINS generated a negative expected return over the last 90 days | |
GREEN PLAINS has high historical volatility and very poor performance | |
GREEN PLAINS has high likelihood to experience some financial distress in the next 2 years | |
The company reported the revenue of 2.83 B. Net Loss for the year was (65.99 M) with profit before overhead, payroll, taxes, and interest of 0. |
Additional Tools for GREEN Stock Analysis
When running GREEN PLAINS's price analysis, check to measure GREEN PLAINS'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 GREEN PLAINS is operating at the current time. Most of GREEN PLAINS's value examination focuses on studying past and present price action to predict the probability of GREEN PLAINS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GREEN PLAINS's price. Additionally, you may evaluate how the addition of GREEN PLAINS to your portfolios can decrease your overall portfolio volatility.