Consumer Goods Ultrasector Fund Overlap Studies Parabolic SAR
| CNPIX Fund | USD 81.17 0.55 0.68% |
| Symbol |
The output start index for this execution was one with a total number of output elements of sixty. The Parabolic SAR indicator is used to determine the direction of Consumer Goods Ultra's momentum and the point in time when Consumer Goods has higher than normal probability directional change.
Consumer Goods Technical Analysis Modules
Most technical analysis of Consumer Goods 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 Consumer from various momentum indicators to cycle indicators. When you analyze Consumer 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 Consumer Goods 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 Consumer Goods Ultrasector. We use our internally-developed statistical techniques to arrive at the intrinsic value of Consumer Goods Ultrasector based on widely used predictive technical indicators. In general, we focus on analyzing Consumer Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Consumer Goods's daily price indicators and compare them against related drivers, such as overlap studies 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 Consumer Goods's intrinsic value. In addition to deriving basic predictive indicators for Consumer Goods, we also check how macroeconomic factors affect Consumer Goods price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Consumer Goods Ultra 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 Consumer Goods 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 Consumer Goods will appreciate offsetting losses from the drop in the long position's value.Consumer Goods Pair Trading
Consumer Goods Ultrasector Pair Trading Analysis
The ability to find closely correlated positions to Consumer Goods could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Consumer Goods 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 Consumer Goods - 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 Consumer Goods Ultrasector to buy it.
The correlation of Consumer Goods 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 Consumer Goods moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Consumer Goods Ultra 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 Consumer Goods 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 Consumer Mutual Fund
Consumer Goods financial ratios help investors to determine whether Consumer 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 Consumer with respect to the benefits of owning Consumer Goods security.
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