Ea Series Trust Etf Probability of Future Etf Price Finishing Over 30.76
| STXM Etf | 27.96 0.38 1.38% |
STXM |
EA Series Target Price Odds to finish over 30.76
The tendency of STXM Etf 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 30.76 or more in 90 days |
| 27.96 | 90 days | 30.76 | near 1 |
Based on a normal probability distribution, the odds of EA Series to move over 30.76 or more in 90 days from now is near 1 (This EA Series Trust probability density function shows the probability of STXM Etf to fall within a particular range of prices over 90 days) . Probability of EA Series Trust price to stay between its current price of 27.96 and 30.76 at the end of the 90-day period is about 1.1 .
Given the investment horizon of 90 days the etf has the beta coefficient of 1.13 . This usually implies EA Series Trust market returns are highly reactive to returns on the market. As the market goes up or down, EA Series is expected to follow. Additionally EA Series Trust has an alpha of 0.0348, implying that it can generate a 0.0348 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). EA Series Price Density |
| Price |
Predictive Modules for EA Series
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EA Series Trust. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 EA Series' 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.
EA Series Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. EA Series is not an exception. The market had few large corrections towards the EA Series' 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 EA Series Trust, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of EA Series within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | 1.13 | |
σ | Overall volatility | 0.86 | |
Ir | Information ratio | 0.05 |
EA Series Technical Analysis
EA Series' future price can be derived by breaking down and analyzing its technical indicators over time. STXM Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of EA Series Trust. In general, you should focus on analyzing STXM Etf price patterns and their correlations with different microeconomic environments and drivers.
EA Series Predictive Forecast Models
EA Series' time-series forecasting models is one of many EA Series' etf 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 EA Series' 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 etf 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 EA Series 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, EA Series' short interest history, or implied volatility extrapolated from EA Series options trading.
Check out EA Series Backtesting, Portfolio Optimization, EA Series Correlation, EA Series Hype Analysis, EA Series Volatility, EA Series History as well as EA Series Performance. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
The market value of EA Series Trust is measured differently than its book value, which is the value of STXM that is recorded on the company's balance sheet. Investors also form their own opinion of EA Series' value that differs from its market value or its book value, called intrinsic value, which is EA Series' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because EA Series' market value can be influenced by many factors that don't directly affect EA Series' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between EA Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if EA Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, EA Series' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.