Ing Group Nv Stock Pattern Recognition Long Legged Doji

ING Stock  USD 16.20  0.16  1.00%   
ING Group pattern recognition tool provides the execution environment for running the Long Legged Doji recognition 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 pattern recognition indicators. As with most other technical indicators, the Long Legged Doji recognition function is designed to identify and follow existing trends. ING Group momentum indicators are usually used to generate trading rules based on assumptions that ING Group trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of seven valid pattern recognition events for the selected time horizon. The Long Legged Doji pattern shows ING Group trend that describe the indecision of the buyers and sellers.

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 pattern recognition 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 Yield0.04980.07490.06130.0582
Price To Sales Ratio2.611.4K2.142.04
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ING Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
14.5516.0217.49
Details
Intrinsic
Valuation
LowRealHigh
14.4418.5420.01
Details
2 Analysts
Consensus
LowTargetHigh
17.0918.7820.85
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.530.530.53
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ING Group. Your research has to be compared to or analyzed against ING Group's peers to derive any actionable benefits. When done correctly, ING 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 ING Group NV.

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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 tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.

Complementary Tools for ING Stock analysis

When running ING Group's price analysis, check to measure ING 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 ING Group is operating at the current time. Most of ING Group's value examination focuses on studying past and present price action to predict the probability of ING 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 ING Group's price. Additionally, you may evaluate how the addition of ING Group to your portfolios can decrease your overall portfolio volatility.
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Is ING Group's industry 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
(0.83)
Dividend Share
1.106
Earnings Share
2.17
Revenue Per Share
4.947
Quarterly Revenue Growth
(0.95)
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.