Kcm Macro Trends Fund Volatility Indicators Average True Range
| KCMTX Fund | USD 11.29 0.01 0.09% |
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The output start index for this execution was three with a total number of output elements of fifty-eight. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Kcm Macro Trends volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Kcm Macro Technical Analysis Modules
Most technical analysis of Kcm Macro 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 Kcm from various momentum indicators to cycle indicators. When you analyze Kcm 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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About Kcm Macro 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 Kcm Macro Trends. We use our internally-developed statistical techniques to arrive at the intrinsic value of Kcm Macro Trends based on widely used predictive technical indicators. In general, we focus on analyzing Kcm Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Kcm Macro's daily price indicators and compare them against related drivers, such as volatility indicators 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 Kcm Macro's intrinsic value. In addition to deriving basic predictive indicators for Kcm Macro, we also check how macroeconomic factors affect Kcm Macro price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kcm Macro's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Kcm Macro Trends 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 Kcm Macro 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 Kcm Macro will appreciate offsetting losses from the drop in the long position's value.Kcm Macro Pair Trading
Kcm Macro Trends Pair Trading Analysis
The ability to find closely correlated positions to Kcm Macro could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kcm Macro 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 Kcm Macro - 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 Kcm Macro Trends to buy it.
The correlation of Kcm Macro 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 Kcm Macro moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kcm Macro Trends 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 Kcm Macro 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.Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Kcm Macro Trends. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in estimate. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.