UNIQA Insurance (Austria) Overlap Studies Parabolic SAR Extended
UQA Stock | EUR 7.30 0.10 1.39% |
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The output start index for this execution was one with a total number of output elements of sixty. The Extended Parabolic SAR indicator is used to determine the direction of UNIQA Insurance's momentum and the point in time when it has higher than normal probability of directional change. It has more input parameters than standard Parabolic SAR indicator.
UNIQA Insurance Technical Analysis Modules
Most technical analysis of UNIQA Insurance 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 UNIQA from various momentum indicators to cycle indicators. When you analyze UNIQA 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 | ||
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Volatility Indicators | ||
Volume Indicators |
About UNIQA Insurance 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 UNIQA Insurance Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of UNIQA Insurance Group based on widely used predictive technical indicators. In general, we focus on analyzing UNIQA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build UNIQA Insurance'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 UNIQA Insurance's intrinsic value. In addition to deriving basic predictive indicators for UNIQA Insurance, we also check how macroeconomic factors affect UNIQA Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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UNIQA Insurance Group 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 UNIQA Insurance 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 UNIQA Insurance will appreciate offsetting losses from the drop in the long position's value.UNIQA Insurance Pair Trading
UNIQA Insurance Group Pair Trading Analysis
The ability to find closely correlated positions to UNIQA Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace UNIQA Insurance 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 UNIQA Insurance - 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 UNIQA Insurance Group to buy it.
The correlation of UNIQA Insurance 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 UNIQA Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UNIQA Insurance Group 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 UNIQA Insurance 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 UNIQA Stock
UNIQA Insurance financial ratios help investors to determine whether UNIQA Stock 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 UNIQA with respect to the benefits of owning UNIQA Insurance security.