Vienna Insurance (Austria) Overlap Studies Parabolic SAR Extended

VIG Stock  EUR 28.90  0.20  0.70%   
Vienna Insurance overlap studies tool provides the execution environment for running the Parabolic SAR Extended study and other technical functions against Vienna Insurance. Vienna Insurance value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Parabolic SAR Extended study function is designed to identify and follow existing trends. Vienna Insurance overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Start Value, Offset on Reverse, AF Init Long, AF Long, AF Max Long, AF Init Short, AF Short, and AF Max Short.

Study
Start Value
Offset on Reverse
AF Init Long
AF Long
AF Max Long
AF Init Short
AF Short
AF Max Short
Execute Study
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 Vienna 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.

Vienna Insurance Technical Analysis Modules

Most technical analysis of Vienna 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 Vienna from various momentum indicators to cycle indicators. When you analyze Vienna 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.

About Vienna 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 Vienna Insurance Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Vienna Insurance Group based on widely used predictive technical indicators. In general, we focus on analyzing Vienna Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Vienna 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 Vienna Insurance's intrinsic value. In addition to deriving basic predictive indicators for Vienna Insurance, we also check how macroeconomic factors affect Vienna Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
27.9528.9029.85
Details
Intrinsic
Valuation
LowRealHigh
26.0134.8535.80
Details
Naive
Forecast
LowNextHigh
28.7129.6630.61
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.9229.2130.49
Details

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Vienna Insurance 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 Vienna 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 Vienna Insurance will appreciate offsetting losses from the drop in the long position's value.

Vienna Insurance Pair Trading

Vienna Insurance Group Pair Trading Analysis

The ability to find closely correlated positions to Vienna 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 Vienna 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 Vienna 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 Vienna Insurance Group to buy it.
The correlation of Vienna 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 Vienna Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vienna Insurance 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 Vienna 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Vienna Stock

Vienna Insurance financial ratios help investors to determine whether Vienna 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 Vienna with respect to the benefits of owning Vienna Insurance security.