Fs Energy And Stock Probability of Future Pink Sheet Price Finishing Under 0.13
| FSEN Stock | USD 14.09 0.01 0.07% |
FSEN |
FS Energy Target Price Odds to finish below 0.13
The tendency of FSEN 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 drop to $ 0.13 or more in 90 days |
| 14.09 | 90 days | 0.13 | near 1 |
Based on a normal probability distribution, the odds of FS Energy to drop to $ 0.13 or more in 90 days from now is near 1 (This FS Energy and probability density function shows the probability of FSEN Pink Sheet to fall within a particular range of prices over 90 days) . Probability of FS Energy price to stay between $ 0.13 and its current price of $14.09 at the end of the 90-day period is about 70.37 .
Given the investment horizon of 90 days FS Energy and has a beta of -0.88. This usually indicates Additionally FS Energy and has an alpha of 0.1919, implying that it can generate a 0.19 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). FS Energy Price Density |
| Price |
Predictive Modules for FS 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 FS Energy. 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 FS Energy'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.
FS Energy Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. FS Energy is not an exception. The market had few large corrections towards the FS 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 FS Energy and, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of FS Energy within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.19 | |
β | Beta against Dow Jones | -0.88 | |
σ | Overall volatility | 0.52 | |
Ir | Information ratio | -0.0005 |
FS Energy Technical Analysis
FS Energy's future price can be derived by breaking down and analyzing its technical indicators over time. FSEN Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of FS Energy and. In general, you should focus on analyzing FSEN Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
FS Energy Predictive Forecast Models
FS Energy's time-series forecasting models is one of many FS Energy'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 FS 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 pink sheet market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards FS Energy in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, FS Energy's short interest history, or implied volatility extrapolated from FS Energy options trading.
Other Information on Investing in FSEN Pink Sheet
FS Energy financial ratios help investors to determine whether FSEN 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 FSEN with respect to the benefits of owning FS Energy security.