Financial Industries Fund Price Transform Average Price
| JFIFX Fund | USD 21.28 0.02 0.09% |
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Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Financial Industries Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
Financial Industries Technical Analysis Modules
Most technical analysis of Financial Industries 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 FINANCIAL from various momentum indicators to cycle indicators. When you analyze FINANCIAL 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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| Volume Indicators |
About Financial Industries 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 Financial Industries Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Financial Industries Fund based on widely used predictive technical indicators. In general, we focus on analyzing FINANCIAL Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Financial Industries's daily price indicators and compare them against related drivers, such as price transform 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 Financial Industries's intrinsic value. In addition to deriving basic predictive indicators for Financial Industries, we also check how macroeconomic factors affect Financial Industries price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Financial Industries 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 Financial Industries 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 Financial Industries will appreciate offsetting losses from the drop in the long position's value.Financial Industries Pair Trading
Financial Industries Fund Pair Trading Analysis
The ability to find closely correlated positions to Financial Industries could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Financial Industries 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 Financial Industries - 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 Financial Industries Fund to buy it.
The correlation of Financial Industries 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 Financial Industries moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Financial Industries 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 Financial Industries 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 FINANCIAL Mutual Fund
Financial Industries financial ratios help investors to determine whether FINANCIAL 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 FINANCIAL with respect to the benefits of owning Financial Industries security.
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