ZhongAn Online (Germany) Statistic Functions Beta
| 1ZO Stock | 1.43 0.00 0.00% |
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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on ZhongAn Online P correlated with the market. If Beta is less than 0 ZhongAn Online generally moves in the opposite direction as compared to the market. If ZhongAn Online Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one ZhongAn Online P is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of ZhongAn Online is generally in the same direction as the market. If Beta > 1 ZhongAn Online moves generally in the same direction as, but more than the movement of the benchmark.
ZhongAn Online Technical Analysis Modules
Most technical analysis of ZhongAn Online 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 ZhongAn from various momentum indicators to cycle indicators. When you analyze ZhongAn 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 ZhongAn Online 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 ZhongAn Online P. We use our internally-developed statistical techniques to arrive at the intrinsic value of ZhongAn Online P based on widely used predictive technical indicators. In general, we focus on analyzing ZhongAn Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ZhongAn Online's daily price indicators and compare them against related drivers, such as statistic functions 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 ZhongAn Online's intrinsic value. In addition to deriving basic predictive indicators for ZhongAn Online, we also check how macroeconomic factors affect ZhongAn Online 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 ZhongAn Online'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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ZhongAn Online P 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 ZhongAn Online 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 ZhongAn Online will appreciate offsetting losses from the drop in the long position's value.ZhongAn Online Pair Trading
ZhongAn Online P Pair Trading Analysis
The ability to find closely correlated positions to ZhongAn Online could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ZhongAn Online 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 ZhongAn Online - 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 ZhongAn Online P to buy it.
The correlation of ZhongAn Online 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 ZhongAn Online moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ZhongAn Online P 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 ZhongAn Online 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.Additional Tools for ZhongAn Stock Analysis
When running ZhongAn Online's price analysis, check to measure ZhongAn Online'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 ZhongAn Online is operating at the current time. Most of ZhongAn Online's value examination focuses on studying past and present price action to predict the probability of ZhongAn Online's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZhongAn Online's price. Additionally, you may evaluate how the addition of ZhongAn Online to your portfolios can decrease your overall portfolio volatility.