KARRAT Statistic Functions Beta
| KARRAT Crypto | USD 0.48 0.03 6.67% |
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The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on KARRAT correlated with the market. If Beta is less than 0 KARRAT generally moves in the opposite direction as compared to the market. If KARRAT Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one KARRAT is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of KARRAT is generally in the same direction as the market. If Beta > 1 KARRAT moves generally in the same direction as, but more than the movement of the benchmark.
KARRAT Technical Analysis Modules
Most technical analysis of KARRAT 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 KARRAT from various momentum indicators to cycle indicators. When you analyze KARRAT 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 KARRAT 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 KARRAT. We use our internally-developed statistical techniques to arrive at the intrinsic value of KARRAT based on widely used predictive technical indicators. In general, we focus on analyzing KARRAT Crypto Coin price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build KARRAT'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 KARRAT's intrinsic value. In addition to deriving basic predictive indicators for KARRAT, we also check how macroeconomic factors affect KARRAT price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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KARRAT 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 KARRAT 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 KARRAT will appreciate offsetting losses from the drop in the long position's value.KARRAT Pair Trading
KARRAT Pair Trading Analysis
The ability to find closely correlated positions to KARRAT could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KARRAT 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 KARRAT - 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 KARRAT to buy it.
The correlation of KARRAT 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 KARRAT moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KARRAT 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 KARRAT 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 KARRAT. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.