Quantitative Longshort Equity Fund Overlap Studies Parabolic SAR
| GTLSX Fund | USD 14.59 0.01 0.07% |
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The output start index for this execution was one with a total number of output elements of sixty. The Parabolic SAR indicator is used to determine the direction of Quantitative Longshort's momentum and the point in time when Quantitative has higher than normal probability directional change.
Quantitative Technical Analysis Modules
Most technical analysis of Quantitative 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 Quantitative from various momentum indicators to cycle indicators. When you analyze Quantitative 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 Quantitative 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 Quantitative Longshort Equity. We use our internally-developed statistical techniques to arrive at the intrinsic value of Quantitative Longshort Equity based on widely used predictive technical indicators. In general, we focus on analyzing Quantitative Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Quantitative'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 Quantitative's intrinsic value. In addition to deriving basic predictive indicators for Quantitative, we also check how macroeconomic factors affect Quantitative 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 Quantitative'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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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
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Quantitative Longshort 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 Quantitative 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 Quantitative will appreciate offsetting losses from the drop in the long position's value.Quantitative Pair Trading
Quantitative Longshort Equity Pair Trading Analysis
The ability to find closely correlated positions to Quantitative could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quantitative 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 Quantitative - 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 Quantitative Longshort Equity to buy it.
The correlation of Quantitative 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 Quantitative moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quantitative Longshort 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 Quantitative 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 Quantitative Mutual Fund
Quantitative financial ratios help investors to determine whether Quantitative 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 Quantitative with respect to the benefits of owning Quantitative security.
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