EigenLayer Probability of Future Crypto Coin Price Finishing Over 2.62
EIGEN Crypto | USD 2.62 0.01 0.38% |
EigenLayer |
EigenLayer Target Price Odds to finish over 2.62
The tendency of EigenLayer Crypto Coin 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 |
2.62 | 90 days | 2.62 | about 26.0 |
Based on a normal probability distribution, the odds of EigenLayer to move above the current price in 90 days from now is about 26.0 (This EigenLayer probability density function shows the probability of EigenLayer Crypto Coin to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon the crypto coin has the beta coefficient of 1.05 suggesting EigenLayer market returns are highly-sensitive to returns on the market. As the market goes up or down, EigenLayer is expected to follow. Additionally EigenLayer 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. EigenLayer Price Density |
Price |
Predictive Modules for EigenLayer
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EigenLayer. Regardless of method or technology, however, to accurately forecast the crypto coin market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the crypto coin 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.EigenLayer Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. EigenLayer is not an exception. The market had few large corrections towards the EigenLayer'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 EigenLayer, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of EigenLayer within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.66 | |
β | Beta against Dow Jones | 1.05 | |
σ | Overall volatility | 1.57 | |
Ir | Information ratio | -0.11 |
EigenLayer 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 EigenLayer for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for EigenLayer can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.EigenLayer is way too risky over 90 days horizon | |
EigenLayer appears to be risky and price may revert if volatility continues |
EigenLayer Technical Analysis
EigenLayer's future price can be derived by breaking down and analyzing its technical indicators over time. EigenLayer Crypto Coin technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of EigenLayer. In general, you should focus on analyzing EigenLayer Crypto Coin price patterns and their correlations with different microeconomic environments and drivers.
EigenLayer Predictive Forecast Models
EigenLayer's time-series forecasting models is one of many EigenLayer's crypto coin 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 EigenLayer'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 crypto coin market movement and maximize returns from investment trading.
Things to note about EigenLayer
Checking the ongoing alerts about EigenLayer for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for EigenLayer help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
EigenLayer is way too risky over 90 days horizon | |
EigenLayer appears to be risky and price may revert if volatility continues |
Check out EigenLayer Backtesting, Portfolio Optimization, EigenLayer Correlation, Cryptocurrency Center, EigenLayer Volatility, EigenLayer History as well as EigenLayer Performance. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.