Ing Group Nv Stock Overlap Studies Kaufman Adaptive Moving Average

ING Stock  USD 15.64  0.05  0.32%   
ING Group overlap studies tool provides the execution environment for running the Kaufman Adaptive Moving Average study and other technical functions against ING Group. ING 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 Kaufman Adaptive Moving Average study function is designed to identify and follow existing trends. ING Group overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was twenty with a total number of output elements of fourty-one. The Kaufman Adaptive Moving Average allows the user to define ING Group NV range across which they want the smoothing.

ING Group Technical Analysis Modules

Most technical analysis of ING 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 ING from various momentum indicators to cycle indicators. When you analyze ING 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 ING 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 ING Group NV. We use our internally-developed statistical techniques to arrive at the intrinsic value of ING Group NV based on widely used predictive technical indicators. In general, we focus on analyzing ING Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ING 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 ING Group's intrinsic value. In addition to deriving basic predictive indicators for ING Group, we also check how macroeconomic factors affect ING Group price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.050.07520.06130.0362
Price To Sales Ratio2.61.4K2.752.61
Hype
Prediction
LowEstimatedHigh
14.2615.5916.92
Details
Intrinsic
Valuation
LowRealHigh
14.0816.9818.31
Details
Naive
Forecast
LowNextHigh
13.9015.2416.57
Details
2 Analysts
Consensus
LowTargetHigh
17.0918.7820.85
Details

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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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ING Group 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 ING Group 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 ING Group will appreciate offsetting losses from the drop in the long position's value.

ING Group Pair Trading

ING Group NV Pair Trading Analysis

The ability to find closely correlated positions to ING Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ING Group 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 ING Group - 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 ING Group NV to buy it.
The correlation of ING Group 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 ING Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ING Group 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 ING Group 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
When determining whether ING Group NV is a strong investment it is important to analyze ING Group's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact ING Group's future performance. For an informed investment choice regarding ING Stock, refer to the following important reports:
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in ING Group NV. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Is Diversified Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of ING Group. If investors know ING will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about ING Group listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.054
Dividend Share
1.106
Earnings Share
2.19
Revenue Per Share
5.223
Quarterly Revenue Growth
(0.01)
The market value of ING Group NV is measured differently than its book value, which is the value of ING that is recorded on the company's balance sheet. Investors also form their own opinion of ING Group's value that differs from its market value or its book value, called intrinsic value, which is ING Group's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ING Group's market value can be influenced by many factors that don't directly affect ING Group's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ING Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if ING Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ING Group's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.