Carnegie Clean Energy Stock Probability of Future OTC Stock Price Finishing Over 0.0275
| CWGYF Stock | USD 0.03 0.0002 0.77% |
Carnegie |
Carnegie Clean Target Price Odds to finish over 0.0275
The tendency of Carnegie OTC 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 over $ 0.03 or more in 90 days |
| 0.03 | 90 days | 0.03 | about 22.41 |
Based on a normal probability distribution, the odds of Carnegie Clean to move over $ 0.03 or more in 90 days from now is about 22.41 (This Carnegie Clean Energy probability density function shows the probability of Carnegie OTC Stock to fall within a particular range of prices over 90 days) . Probability of Carnegie Clean Energy price to stay between its current price of $ 0.03 and $ 0.03 at the end of the 90-day period is about 29.47 .
Assuming the 90 days horizon Carnegie Clean has a beta of 0.19 suggesting as returns on the market go up, Carnegie Clean average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Carnegie Clean Energy will be expected to be much smaller as well. Additionally Carnegie Clean Energy has an alpha of 0.2293, implying that it can generate a 0.23 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Carnegie Clean Price Density |
| Price |
Predictive Modules for Carnegie Clean
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Carnegie Clean Energy. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Carnegie Clean'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.
Carnegie Clean Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Carnegie Clean is not an exception. The market had few large corrections towards the Carnegie Clean'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 Carnegie Clean Energy, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Carnegie Clean within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.23 | |
β | Beta against Dow Jones | 0.19 | |
σ | Overall volatility | 0 | |
Ir | Information ratio | 0.02 |
Carnegie Clean 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 Carnegie Clean for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Carnegie Clean Energy can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Carnegie Clean had very high historical volatility over the last 90 days | |
| Carnegie Clean has some characteristics of a very speculative penny stock | |
| The company reported the revenue of 321.94 K. Net Loss for the year was (1.92 M) with profit before overhead, payroll, taxes, and interest of 321.94 K. | |
| About 24.0% of the company shares are held by company insiders |
Carnegie Clean 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 Carnegie OTC Stock often depends not only on the future outlook of the current and potential Carnegie Clean'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. Carnegie Clean's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 15 B |
Carnegie Clean Technical Analysis
Carnegie Clean's future price can be derived by breaking down and analyzing its technical indicators over time. Carnegie OTC Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Carnegie Clean Energy. In general, you should focus on analyzing Carnegie OTC Stock price patterns and their correlations with different microeconomic environments and drivers.
Carnegie Clean Predictive Forecast Models
Carnegie Clean's time-series forecasting models is one of many Carnegie Clean's otc 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 Carnegie Clean'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 otc stock market movement and maximize returns from investment trading.
Things to note about Carnegie Clean Energy
Checking the ongoing alerts about Carnegie Clean for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Carnegie Clean Energy help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Carnegie Clean had very high historical volatility over the last 90 days | |
| Carnegie Clean has some characteristics of a very speculative penny stock | |
| The company reported the revenue of 321.94 K. Net Loss for the year was (1.92 M) with profit before overhead, payroll, taxes, and interest of 321.94 K. | |
| About 24.0% of the company shares are held by company insiders |
Other Information on Investing in Carnegie OTC Stock
Carnegie Clean financial ratios help investors to determine whether Carnegie OTC Stock 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 Carnegie with respect to the benefits of owning Carnegie Clean security.