Small Cap Dividend Fund Overlap Studies Exponential Moving Average
| AMAJX Fund | USD 10.73 0.10 0.92% |
| Symbol |
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Exponential Moving Average is calculated by weighting recent values of Small Cap Dividend more heavily than older values.
Small Cap Technical Analysis Modules
Most technical analysis of Small Cap 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 Small from various momentum indicators to cycle indicators. When you analyze Small 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 Small Cap 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 Small Cap Dividend. We use our internally-developed statistical techniques to arrive at the intrinsic value of Small Cap Dividend based on widely used predictive technical indicators. In general, we focus on analyzing Small Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Small Cap'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 Small Cap's intrinsic value. In addition to deriving basic predictive indicators for Small Cap, we also check how macroeconomic factors affect Small Cap price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Small Cap Dividend 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 Small Cap 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 Small Cap will appreciate offsetting losses from the drop in the long position's value.Small Cap Pair Trading
Small Cap Dividend Pair Trading Analysis
The ability to find closely correlated positions to Small Cap could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Small Cap 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 Small Cap - 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 Small Cap Dividend to buy it.
The correlation of Small Cap 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 Small Cap moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Small Cap Dividend 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 Small Cap 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 Small Mutual Fund
Small Cap financial ratios help investors to determine whether Small 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 Small with respect to the benefits of owning Small Cap security.
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