ING Groep (Belgium) Statistic Functions Beta
| INGA Stock | 7.98 0.00 0.00% |
| Symbol |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on ING Groep NV correlated with the market. If Beta is less than 0 ING Groep generally moves in the opposite direction as compared to the market. If ING Groep Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one ING Groep NV is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of ING Groep is generally in the same direction as the market. If Beta > 1 ING Groep moves generally in the same direction as, but more than the movement of the benchmark.
ING Groep Technical Analysis Modules
Most technical analysis of ING Groep 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About ING Groep 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 Groep NV. We use our internally-developed statistical techniques to arrive at the intrinsic value of ING Groep 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 Groep'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 ING Groep's intrinsic value. In addition to deriving basic predictive indicators for ING Groep, we also check how macroeconomic factors affect ING Groep price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Be 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.Generate Optimal Portfolios
Align your risk and return expectations
Additional 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.