Nn Group Nv Stock Statistic Functions Pearson Correlation Coefficient

NNGPF Stock  USD 46.09  0.59  1.30%   
NN Group statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against NN Group. NN Group 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 Pearson Correlation Coefficient function function is designed to identify and follow existing trends. NN Group 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.

Function
Time Period
Execute Function
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of NN Group NV and its benchmark or peer.

NN Group Technical Analysis Modules

Most technical analysis of NN Group 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 NNGPF from various momentum indicators to cycle indicators. When you analyze NNGPF 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 NN Group 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 NN Group NV. We use our internally-developed statistical techniques to arrive at the intrinsic value of NN Group NV based on widely used predictive technical indicators. In general, we focus on analyzing NNGPF Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build NN Group'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 NN Group's intrinsic value. In addition to deriving basic predictive indicators for NN Group, we also check how macroeconomic factors affect NN Group price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
44.9346.0947.25
Details
Intrinsic
Valuation
LowRealHigh
36.1737.3350.70
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards NN Group in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, NN Group's short interest history, or implied volatility extrapolated from NN Group options trading.

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Other Information on Investing in NNGPF Pink Sheet

NN Group financial ratios help investors to determine whether NNGPF Pink Sheet 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 NNGPF with respect to the benefits of owning NN Group security.