ING Groep (Belgium) Analysis
| INGA Stock | 7.98 0.76 10.53% |
ING Groep NV is undervalued with Real Value of 0.0 and Hype Value of 0.0. The main objective of ING Groep stock analysis is to determine its intrinsic value, which is an estimate of what ING Groep NV is worth, separate from its market price. There are two main types of ING Groep's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect ING Groep's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of ING Groep's stock to identify patterns and trends that may indicate its future price movements.
The ING Groep stock is traded in Belgium on Euronext Brussels, with the market opening at 09:00:00 and closing at 17:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Belgium. ING Groep is usually not traded on Christmas Day, Boxing Day, New Year 's Day, Good Friday ( 2024 ), Easter Sunday, Easter Monday, International Workers ' Day, Belgian National Day, Assumption of Mary. ING Stock trading window is adjusted to Europe/Brussels timezone. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and ING Groep's ongoing operational relationships across important fundamental and technical indicators.
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ING Stock Analysis Notes
The company had not issued any dividends in recent years.Technical Drivers
As of the 29th of April, ING Groep retains the Coefficient Of Variation of 793.73, risk adjusted performance of 0.0839, and Market Risk Adjusted Performance of 0.2203. ING Groep technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Simply put, you can use this information to find out if the firm will indeed mirror its model of historical price patterns, or the prices will eventually revert. We were able to interpolate eleven technical drivers for ING Groep NV, which can be compared to its competitors. Please check out ING Groep NV standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if ING Groep is priced fairly, providing market reflects its last-minute price of 7.98 per share.ING Groep NV Price Movement Analysis
The output start index for this execution was thirty-nine with a total number of output elements of twenty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. ING Groep middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for ING Groep NV. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
ING Groep Predictive Daily Indicators
ING Groep intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of ING Groep stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.11 | |||
| Day Median Price | 7.98 | |||
| Day Typical Price | 7.98 | |||
| Price Action Indicator | 0.38 | |||
| Period Momentum Indicator | 0.76 |
ING Groep Forecast Models
ING Groep's time-series forecasting models are one of many ING Groep's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary ING Groep's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding ING Groep to your portfolios without increasing risk or reducing expected return.Did you try this?
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Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in ING Groep 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Complementary Tools for ING Stock analysis
When running ING Groep's price analysis, check to measure ING Groep'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 Groep is operating at the current time. Most of ING Groep's value examination focuses on studying past and present price action to predict the probability of ING Groep'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 Groep's price. Additionally, you may evaluate how the addition of ING Groep to your portfolios can decrease your overall portfolio volatility.
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