ING Groep (Germany) Price on July 30, 2024

ING Groep Valuation on July 30, 2024

ING Groep Trading Date Momentum on July 30, 2024

On July 31 2024 ING Groep NV was traded for  16.39  at the closing time. The maximum traded price for the trading interval was 16.47  and the lowest daily price was  16.32 . The daily volume was recorded at 8.5 K. The volume of trading on 31st of July 2024 played a part in the next trading day price drop. The trading delta at closing time to the next closing price was 0.36% . The trading delta at closing time to the closing price today is 7.48% .

ING Groep NV Fundamentals Correlations and Trends

By evaluating ING Groep's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among ING Groep's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. ING financial account trend analysis is a perfect complement when working with valuation or volatility modules.

ING Groep investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for ING is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in ING Groep NV will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing ING Groep stock prices may prove useful in developing a viable investing in ING Groep

ING Groep technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.

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

Predictive indicators are helping investors to find signals for ING Groep's price direction in advance. Along with the technical and fundamental analysis of ING Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of ING to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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.