Zurich Insurance (Germany) Volatility Indicators Average True Range
| ZFI1 Stock | EUR 29.00 0.20 0.69% |
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The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Zurich Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Zurich Insurance Technical Analysis Modules
Most technical analysis of Zurich 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 Zurich from various momentum indicators to cycle indicators. When you analyze Zurich 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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About Zurich 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 Zurich Insurance Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Zurich Insurance Group based on widely used predictive technical indicators. In general, we focus on analyzing Zurich Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Zurich Insurance's daily price indicators and compare them against related drivers, such as volatility indicators 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 Zurich Insurance's intrinsic value. In addition to deriving basic predictive indicators for Zurich Insurance, we also check how macroeconomic factors affect Zurich Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Zurich Insurance in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Zurich Insurance's short interest history, or implied volatility extrapolated from Zurich Insurance options trading.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Zurich Stock
Zurich Insurance financial ratios help investors to determine whether Zurich 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 Zurich with respect to the benefits of owning Zurich Insurance security.