VIENNA INSURANCE (Germany) Pattern Recognition Tristar Pattern

WSV2 Stock  EUR 30.15  0.15  0.50%   
VIENNA INSURANCE pattern recognition tool provides the execution environment for running the Tristar Pattern recognition 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 pattern recognition indicators. As with most other technical indicators, the Tristar Pattern recognition function is designed to identify and follow existing trends. VIENNA INSURANCE momentum indicators are usually used to generate trading rules based on assumptions that VIENNA INSURANCE trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The function generated a total of four valid pattern recognition events for the selected time horizon. The Tristar Pattern is relatively rare and usually implies VIENNA INSURANCE reversal in the current trend.

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 GR. We use our internally-developed statistical techniques to arrive at the intrinsic value of VIENNA INSURANCE GR 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 pattern recognition 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
29.2730.1531.03
Details
Intrinsic
Valuation
LowRealHigh
28.9329.8130.69
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 GR 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 GR 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

Additional Tools for VIENNA Stock Analysis

When running VIENNA INSURANCE's price analysis, check to measure VIENNA INSURANCE's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy VIENNA INSURANCE is operating at the current time. Most of VIENNA INSURANCE's value examination focuses on studying past and present price action to predict the probability of VIENNA INSURANCE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move VIENNA INSURANCE's price. Additionally, you may evaluate how the addition of VIENNA INSURANCE to your portfolios can decrease your overall portfolio volatility.