NN Group (Netherlands) Overlap Studies Triple Exponential Moving Average T3

NN Stock  EUR 43.90  0.91  2.03%   
NN Group overlap studies tool provides the execution environment for running the Triple Exponential Moving Average T3 study 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 overlap studies indicators. As with most other technical indicators, the Triple Exponential Moving Average T3 study function is designed to identify and follow existing trends. NN Group overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period and Volume Factor to execute this module.

java.lang.NullPointerException: Cannot invoke "java.lang.Number.intValue()" because the return value of "sun.invoke.util.ValueConversions.primitiveConversion(sun.invoke.util.Wrapper, Object, boolean)" is null. The output start index for this execution was zero with a total number of output elements of zero. The Triple Exponential Moving Average (T3) indicator is developed by Tim Tillson as NN Group NV price series composite of a single exponential moving average, a double exponential moving average and a triple exponential moving average.

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 NN Group from various momentum indicators to cycle indicators. When you analyze NN Group 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 NN Group Stock 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 overlap studies 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
44.0344.8145.59
Details
Intrinsic
Valuation
LowRealHigh
44.1444.9245.70
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as NN Group. Your research has to be compared to or analyzed against NN Group's peers to derive any actionable benefits. When done correctly, NN Group's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in NN Group NV.

Become 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.

Did you try this?

Run Performance Analysis Now

   

Performance Analysis

Check effects of mean-variance optimization against your current asset allocation
All  Next Launch Module

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Casinos Idea
Casinos
Invested over 90 shares
Macroaxis Index Idea
Macroaxis Index
Invested few shares
Investor Favorites Idea
Investor Favorites
Invested over 60 shares
Business Services Idea
Business Services
Invested over 100 shares
Banking Idea
Banking
Invested over 20 shares
FinTech Idea
FinTech
Invested over 40 shares
Adviser Favorites Idea
Adviser Favorites
Invested few shares
Driverless Cars Idea
Driverless Cars
Invested over 50 shares
Manufacturing Idea
Manufacturing
Invested over 30 shares
Chemicals Idea
Chemicals
Invested over 30 shares
Artificial Intelligence Idea
Artificial Intelligence
Invested few shares

Additional Tools for NN Group Stock Analysis

When running NN Group's price analysis, check to measure NN Group'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 NN Group is operating at the current time. Most of NN Group's value examination focuses on studying past and present price action to predict the probability of NN Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NN Group's price. Additionally, you may evaluate how the addition of NN Group to your portfolios can decrease your overall portfolio volatility.