CubeSmart (Germany) Volatility Indicators Average True Range
| UK8 Stock | EUR 40.98 0.13 0.32% |
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The output start index for this execution was thirty with a total number of output elements of thirty-one. 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 CubeSmart volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CubeSmart Technical Analysis Modules
Most technical analysis of CubeSmart 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 CubeSmart from various momentum indicators to cycle indicators. When you analyze CubeSmart 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 CubeSmart 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 CubeSmart. We use our internally-developed statistical techniques to arrive at the intrinsic value of CubeSmart based on widely used predictive technical indicators. In general, we focus on analyzing CubeSmart Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build CubeSmart'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 CubeSmart's intrinsic value. In addition to deriving basic predictive indicators for CubeSmart, we also check how macroeconomic factors affect CubeSmart price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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CubeSmart 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 CubeSmart 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 CubeSmart will appreciate offsetting losses from the drop in the long position's value.CubeSmart Pair Trading
CubeSmart Pair Trading Analysis
The ability to find closely correlated positions to CubeSmart could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CubeSmart 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 CubeSmart - 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 CubeSmart to buy it.
The correlation of CubeSmart 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 CubeSmart moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CubeSmart 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 CubeSmart 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 Information and Resources on Investing in CubeSmart Stock
When determining whether CubeSmart is a strong investment it is important to analyze CubeSmart's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact CubeSmart's future performance. For an informed investment choice regarding CubeSmart Stock, refer to the following important reports:Check out World Market Map to better understand how to build diversified portfolios, which includes a position in CubeSmart. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. For more detail on how to invest in CubeSmart Stock please use our How to Invest in CubeSmart guide.You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.