EM Overlap Studies Bollinger Bands
| EM Crypto | USD 0.00008 0.00 0.00% |
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The output start index for this execution was four with a total number of output elements of fifty-seven. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. EM middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for EM. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
EM Technical Analysis Modules
Most technical analysis of EM 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 EM from various momentum indicators to cycle indicators. When you analyze EM 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 EM 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 EM. We use our internally-developed statistical techniques to arrive at the intrinsic value of EM based on widely used predictive technical indicators. In general, we focus on analyzing EM Crypto Coin price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build EM'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 EM's intrinsic value. In addition to deriving basic predictive indicators for EM, we also check how macroeconomic factors affect EM price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of EM'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.
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EM 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 EM 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 EM will appreciate offsetting losses from the drop in the long position's value.EM Pair Trading
EM Pair Trading Analysis
The ability to find closely correlated positions to EM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EM 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 EM - 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 EM to buy it.
The correlation of EM 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 EM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EM 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 EM 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 EM. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.