The Hartford Equity Fund Statistic Functions Standard Deviation
| HQIAX Fund | USD 22.97 0.04 0.17% |
| Symbol |
The output start index for this execution was nine with a total number of output elements of fifty-two. Hartford Equity Standard Deviation measures the spread of Hartford Equity time series from expected value (the mean).
Hartford Equity Technical Analysis Modules
Most technical analysis of Hartford Equity 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 Hartford from various momentum indicators to cycle indicators. When you analyze Hartford 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About Hartford Equity 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 The Hartford Equity. We use our internally-developed statistical techniques to arrive at the intrinsic value of The Hartford Equity based on widely used predictive technical indicators. In general, we focus on analyzing Hartford Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Hartford Equity'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 Hartford Equity's intrinsic value. In addition to deriving basic predictive indicators for Hartford Equity, we also check how macroeconomic factors affect Hartford Equity price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Hartford Equity 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 Hartford Equity 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 Hartford Equity will appreciate offsetting losses from the drop in the long position's value.Hartford Equity Pair Trading
The Hartford Equity Pair Trading Analysis
The ability to find closely correlated positions to Hartford Equity could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hartford Equity 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 Hartford Equity - 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 The Hartford Equity to buy it.
The correlation of Hartford Equity 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 Hartford Equity moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hartford Equity 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 Hartford Equity 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 Hartford Mutual Fund
Hartford Equity financial ratios help investors to determine whether Hartford 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 Hartford with respect to the benefits of owning Hartford Equity security.
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