Algebris UCITS (Germany) Overlap Studies Bollinger Bands
0P00018E8C | 149.09 0.00 0.00% |
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java.lang.NullPointerException: Cannot invoke "java.lang.Number.intValue()" because the return value of "sun.invoke.util.ValueConversions.primitiveConversion(sun.invoke.util.Wrapper, Object, boolean)" is null. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Algebris UCITS 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 Algebris UCITS Funds. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Algebris UCITS Technical Analysis Modules
Most technical analysis of Algebris UCITS 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 Algebris from various momentum indicators to cycle indicators. When you analyze Algebris 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
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Algebris UCITS Funds 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 Algebris UCITS 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 Algebris UCITS will appreciate offsetting losses from the drop in the long position's value.Algebris UCITS Pair Trading
Algebris UCITS Funds Pair Trading Analysis
The ability to find closely correlated positions to Algebris UCITS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Algebris UCITS 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 Algebris UCITS - 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 Algebris UCITS Funds to buy it.
The correlation of Algebris UCITS 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 Algebris UCITS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Algebris UCITS Funds 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 Algebris UCITS 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.Content Syndication Quickly integrate customizable finance content to your own investment portal | |
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