Aqr Long Short Equity Fund Overlap Studies All Moving Average
| QLENX Fund | USD 16.37 0.03 0.18% |
| Symbol |
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Moving Average is predictive technique used to analyze Aqr Long Short price data points by creating a series of averages of different subsets of Aqr Long-short entire price series.
Aqr Long-short Technical Analysis Modules
Most technical analysis of Aqr Long-short 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 Aqr from various momentum indicators to cycle indicators. When you analyze Aqr 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Aqr Long-short 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 Aqr Long Short Equity. We use our internally-developed statistical techniques to arrive at the intrinsic value of Aqr Long Short Equity based on widely used predictive technical indicators. In general, we focus on analyzing Aqr Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Aqr Long-short'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 Aqr Long-short's intrinsic value. In addition to deriving basic predictive indicators for Aqr Long-short, we also check how macroeconomic factors affect Aqr Long-short price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Aqr Long Short 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 Aqr Long-short 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 Aqr Long-short will appreciate offsetting losses from the drop in the long position's value.Aqr Long-short Pair Trading
Aqr Long Short Equity Pair Trading Analysis
The ability to find closely correlated positions to Aqr Long-short could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aqr Long-short 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 Aqr Long-short - 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 Aqr Long Short Equity to buy it.
The correlation of Aqr Long-short 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 Aqr Long-short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aqr Long Short 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 Aqr Long-short 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.Other Information on Investing in Aqr Mutual Fund
Aqr Long-short financial ratios help investors to determine whether Aqr Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Aqr with respect to the benefits of owning Aqr Long-short security.
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