Power Floating Rate Fund Statistic Functions Beta
| FLOTX Fund | USD 9.58 0.15 1.54% |
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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 Power Floating Rate correlated with the market. If Beta is less than 0 Power Floating generally moves in the opposite direction as compared to the market. If Power Floating Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Power Floating Rate is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Power Floating is generally in the same direction as the market. If Beta > 1 Power Floating moves generally in the same direction as, but more than the movement of the benchmark.
Power Floating Technical Analysis Modules
Most technical analysis of Power Floating 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 Power from various momentum indicators to cycle indicators. When you analyze Power 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 Power Floating 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 Power Floating Rate. We use our internally-developed statistical techniques to arrive at the intrinsic value of Power Floating Rate based on widely used predictive technical indicators. In general, we focus on analyzing Power Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Power Floating'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 Power Floating's intrinsic value. In addition to deriving basic predictive indicators for Power Floating, we also check how macroeconomic factors affect Power Floating 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 Power Floating'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.
Learn to be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
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Power Floating Rate 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 Power Floating 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 Power Floating will appreciate offsetting losses from the drop in the long position's value.Power Floating Pair Trading
Power Floating Rate Pair Trading Analysis
The ability to find closely correlated positions to Power Floating could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Power Floating 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 Power Floating - 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 Power Floating Rate to buy it.
The correlation of Power Floating 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 Power Floating moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Power Floating Rate 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 Power Floating 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 Power Mutual Fund
Power Floating financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power Floating security.
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