Banks Ultrasector Profund Fund Statistic Functions Linear Regression Slope
| BKPIX Fund | USD 59.21 0.51 0.85% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Banks Ultrasector Profund price series over its benchmark or peer price series.
Banks Ultrasector Technical Analysis Modules
Most technical analysis of Banks Ultrasector 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 Banks from various momentum indicators to cycle indicators. When you analyze Banks 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 Banks Ultrasector 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 Banks Ultrasector Profund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Banks Ultrasector Profund based on widely used predictive technical indicators. In general, we focus on analyzing Banks Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Banks Ultrasector'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 Banks Ultrasector's intrinsic value. In addition to deriving basic predictive indicators for Banks Ultrasector, we also check how macroeconomic factors affect Banks Ultrasector price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Banks Ultrasector Profund 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 Banks Ultrasector 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 Banks Ultrasector will appreciate offsetting losses from the drop in the long position's value.Banks Ultrasector Pair Trading
Banks Ultrasector Profund Pair Trading Analysis
The ability to find closely correlated positions to Banks Ultrasector could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banks Ultrasector 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 Banks Ultrasector - 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 Banks Ultrasector Profund to buy it.
The correlation of Banks Ultrasector 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 Banks Ultrasector moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banks Ultrasector Profund 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 Banks Ultrasector 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.Other Information on Investing in Banks Mutual Fund
Banks Ultrasector financial ratios help investors to determine whether Banks Mutual Fund 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 Banks with respect to the benefits of owning Banks Ultrasector security.
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