Clean Energy (Germany) Probability of Future Stock Price Finishing Over 2.46
| WIQ Stock | EUR 2.46 0.09 3.53% |
Clean |
Clean Energy Target Price Odds to finish over 2.46
The tendency of Clean 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 above the current price in 90 days |
| 2.46 | 90 days | 2.46 | about 90.07 |
Based on a normal probability distribution, the odds of Clean Energy to move above the current price in 90 days from now is about 90.07 (This Clean Energy Fuels probability density function shows the probability of Clean Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon the stock has the beta coefficient of 2.2 . This entails as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Clean Energy will likely underperform. Additionally Clean Energy Fuels 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. Clean Energy Price Density |
| Price |
Predictive Modules for Clean Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Clean Energy Fuels. 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.Clean Energy Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Clean Energy is not an exception. The market had few large corrections towards the Clean Energy'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 Clean Energy Fuels, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Clean Energy within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.4 | |
β | Beta against Dow Jones | 2.20 | |
σ | Overall volatility | 0.14 | |
Ir | Information ratio | -0.07 |
Clean Energy 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 Clean Energy for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Clean Energy Fuels can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Clean Energy Fuels generated a negative expected return over the last 90 days | |
| Clean Energy Fuels has high historical volatility and very poor performance | |
| The company reported the revenue of 420.16 M. Net Loss for the year was (58.73 M) with profit before overhead, payroll, taxes, and interest of 40.04 M. | |
| About 21.0% of the company outstanding shares are owned by insiders |
Clean Energy 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 Clean Stock often depends not only on the future outlook of the current and potential Clean Energy'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. Clean Energy's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 222.4 M | |
| Short Long Term Debt | 93 K |
Clean Energy Technical Analysis
Clean Energy's future price can be derived by breaking down and analyzing its technical indicators over time. Clean Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Clean Energy Fuels. In general, you should focus on analyzing Clean Stock price patterns and their correlations with different microeconomic environments and drivers.
Clean Energy Predictive Forecast Models
Clean Energy's time-series forecasting models is one of many Clean Energy'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 Clean Energy'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 Clean Energy Fuels
Checking the ongoing alerts about Clean Energy for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Clean Energy Fuels help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Clean Energy Fuels generated a negative expected return over the last 90 days | |
| Clean Energy Fuels has high historical volatility and very poor performance | |
| The company reported the revenue of 420.16 M. Net Loss for the year was (58.73 M) with profit before overhead, payroll, taxes, and interest of 40.04 M. | |
| About 21.0% of the company outstanding shares are owned by insiders |
Additional Information and Resources on Investing in Clean Stock
When determining whether Clean Energy Fuels is a strong investment it is important to analyze Clean Energy's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Clean Energy's future performance. For an informed investment choice regarding Clean Stock, refer to the following important reports:Check out Clean Energy Backtesting, Clean Energy Valuation, Clean Energy Correlation, Clean Energy Hype Analysis, Clean Energy Volatility, Clean Energy History as well as Clean Energy Performance. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.