Ea Series Trust Etf Overlap Studies Double Exponential Moving Average
| DRAI Etf | 23.67 0.12 0.51% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to EA Series Trust changes than the simple moving average.
EA Series Technical Analysis Modules
Most technical analysis of EA Series help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for DRAI from various momentum indicators to cycle indicators. When you analyze DRAI charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About EA Series Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of EA Series Trust. We use our internally-developed statistical techniques to arrive at the intrinsic value of EA Series Trust based on widely used predictive technical indicators. In general, we focus on analyzing DRAI Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build EA Series's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of EA Series's intrinsic value. In addition to deriving basic predictive indicators for EA Series, we also check how macroeconomic factors affect EA Series price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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EA Series Trust pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if EA Series position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in EA Series will appreciate offsetting losses from the drop in the long position's value.EA Series Pair Trading
EA Series Trust Pair Trading Analysis
The ability to find closely correlated positions to EA Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EA Series when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back EA Series - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling EA Series Trust to buy it.
The correlation of EA Series is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as EA Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EA Series Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for EA Series can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in EA Series Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
The market value of EA Series Trust is measured differently than its book value, which is the value of DRAI 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.