NSI NV (Netherlands) Math Operators Price Series Multiplication

NSI Stock  EUR 18.88  0.10  0.53%   
NSI NV math operators tool provides the execution environment for running the Price Series Multiplication operator and other technical functions against NSI NV. NSI NV 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 math operators indicators. As with most other technical indicators, the Price Series Multiplication operator function is designed to identify and follow existing trends. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as null and NSI NV.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. NSI NV Price Series Multiplication is a cross multiplication of NSI NV price series and its benchmark/peer.

NSI NV Technical Analysis Modules

Most technical analysis of NSI NV 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 NSI from various momentum indicators to cycle indicators. When you analyze NSI 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.

About NSI NV 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 NSI NV. We use our internally-developed statistical techniques to arrive at the intrinsic value of NSI NV based on widely used predictive technical indicators. In general, we focus on analyzing NSI Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build NSI NV's daily price indicators and compare them against related drivers, such as math operators 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 NSI NV's intrinsic value. In addition to deriving basic predictive indicators for NSI NV, we also check how macroeconomic factors affect NSI NV price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
18.0618.8819.70
Details
Intrinsic
Valuation
LowRealHigh
17.7218.5419.36
Details

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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NSI NV 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 NSI NV 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 NSI NV will appreciate offsetting losses from the drop in the long position's value.

NSI NV Pair Trading

NSI NV Pair Trading Analysis

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

Additional Tools for NSI Stock Analysis

When running NSI NV's price analysis, check to measure NSI NV's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy NSI NV is operating at the current time. Most of NSI NV's value examination focuses on studying past and present price action to predict the probability of NSI NV's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NSI NV's price. Additionally, you may evaluate how the addition of NSI NV to your portfolios can decrease your overall portfolio volatility.