Wilmington New York Fund Statistic Functions Linear Regression Intercept
WNYAX Fund | USD 9.91 0.03 0.30% |
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The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression Intercept is the expected mean value of Wilmington New York price seriese where values of its benchmark or peer price series are zero.
Wilmington New Technical Analysis Modules
Most technical analysis of Wilmington New 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 Wilmington from various momentum indicators to cycle indicators. When you analyze Wilmington 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Wilmington New 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 Wilmington New York. We use our internally-developed statistical techniques to arrive at the intrinsic value of Wilmington New York based on widely used predictive technical indicators. In general, we focus on analyzing Wilmington Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Wilmington New'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 Wilmington New's intrinsic value. In addition to deriving basic predictive indicators for Wilmington New, we also check how macroeconomic factors affect Wilmington New price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Wilmington New York 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 Wilmington New 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 Wilmington New will appreciate offsetting losses from the drop in the long position's value.Wilmington New Pair Trading
Wilmington New York Pair Trading Analysis
The ability to find closely correlated positions to Wilmington New could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Wilmington New 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 Wilmington New - 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 Wilmington New York to buy it.
The correlation of Wilmington New 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 Wilmington New moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Wilmington New York 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 Wilmington New 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 Wilmington Mutual Fund
Wilmington New financial ratios help investors to determine whether Wilmington 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 Wilmington with respect to the benefits of owning Wilmington New security.
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