Nbi Smartdata Equity Fund Statistic Functions Beta

NSDU Fund   10.62  0.02  0.19%   
NBI SmartData statistic functions tool provides the execution environment for running the Beta function and other technical functions against NBI SmartData. NBI SmartData value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. NBI SmartData statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on NBI SmartData Equity correlated with the market. If Beta is less than 0 NBI SmartData generally moves in the opposite direction as compared to the market. If NBI SmartData Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one NBI SmartData Equity is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of NBI SmartData is generally in the same direction as the market. If Beta > 1 NBI SmartData moves generally in the same direction as, but more than the movement of the benchmark.

NBI SmartData Technical Analysis Modules

Most technical analysis of NBI SmartData 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 NBI from various momentum indicators to cycle indicators. When you analyze NBI 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.

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NBI SmartData 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 NBI SmartData 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 NBI SmartData will appreciate offsetting losses from the drop in the long position's value.

NBI SmartData Pair Trading

NBI SmartData Equity Pair Trading Analysis

The ability to find closely correlated positions to NBI SmartData could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NBI SmartData 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 NBI SmartData - 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 NBI SmartData Equity to buy it.
The correlation of NBI SmartData 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 NBI SmartData moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NBI SmartData 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 NBI SmartData 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.
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