Burlington Stores (Germany) Cycle Indicators Hilbert Transform Dominant Cycle Period
| BUI Stock | EUR 272.00 10.00 3.55% |
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The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The Hilbert Transform - Dominant Cycle Period indicator is used to generate in-phase and quadrature components of Burlington Stores price series in order to analyze variations of the instantaneous cycles.
Burlington Stores Technical Analysis Modules
Most technical analysis of Burlington Stores 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 Burlington from various momentum indicators to cycle indicators. When you analyze Burlington 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 Burlington Stores 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 Burlington Stores. We use our internally-developed statistical techniques to arrive at the intrinsic value of Burlington Stores based on widely used predictive technical indicators. In general, we focus on analyzing Burlington Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Burlington Stores's daily price indicators and compare them against related drivers, such as cycle 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 Burlington Stores's intrinsic value. In addition to deriving basic predictive indicators for Burlington Stores, we also check how macroeconomic factors affect Burlington Stores price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Burlington Stores 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 Burlington Stores 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 Burlington Stores will appreciate offsetting losses from the drop in the long position's value.Burlington Stores Pair Trading
Burlington Stores Pair Trading Analysis
The ability to find closely correlated positions to Burlington Stores could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Burlington Stores 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 Burlington Stores - 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 Burlington Stores to buy it.
The correlation of Burlington Stores 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 Burlington Stores moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Burlington Stores 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 Burlington Stores 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 Burlington Stock
When determining whether Burlington Stores is a strong investment it is important to analyze Burlington Stores' 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 Burlington Stores' future performance. For an informed investment choice regarding Burlington Stock, refer to the following important reports:Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Burlington Stores. 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 Burlington Stock please use our How to Invest in Burlington Stores guide.You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.