ING Groep Stock Forecast - Daily Balance Of Power
| INGA Stock | 7.98 0.00 0.00% |
ING Stock Forecast is based on your current time horizon.
ING |
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ING Groep Trading Date Momentum
| On November 25 2024 ING Groep NV was traded for 7.98 at the closing time. The highest price during the trading period was 7.98 and the lowest recorded bid was listed for 7.98 . There was no trading activity during the period 1.0. Lack of trading volume on November 25, 2024 did not cause price change. The trading delta at closing time to the current price is 0.00% . |
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
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Other Forecasting Options for ING Groep
For every potential investor in ING, whether a beginner or expert, ING Groep's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ING Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ING. Basic forecasting techniques help filter out the noise by identifying ING Groep's price trends.ING Groep Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with ING Groep stock to make a market-neutral strategy. Peer analysis of ING Groep could also be used in its relative valuation, which is a method of valuing ING Groep by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ING Groep NV Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of ING Groep's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of ING Groep's current price.| Cycle Indicators | ||
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ING Groep Market Strength Events
Market strength indicators help investors to evaluate how ING Groep stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ING Groep shares will generate the highest return on investment. By undertsting and applying ING Groep stock market strength indicators, traders can identify ING Groep NV entry and exit signals to maximize returns.
Pair Trading with ING Groep
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 Groep 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 Groep will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to ING Groep 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 Groep 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 Groep - 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 Groep NV to buy it.
The correlation of ING Groep 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 Groep moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ING Groep 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 Groep 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.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.