ING Groep Pink Sheet Forecast - 20 Period Moving Average

INGVF Stock  USD 29.13  0.70  2.46%   
The 20 Period Moving Average forecasted value of ING Groep NV on the next trading day is expected to be 28.32 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 39.20. ING Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ING Groep's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 20th of January 2026 the relative strength index (rsi) of ING Groep's share price is below 20 . This usually indicates that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of ING Groep's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of ING Groep and does not consider all of the tangible or intangible factors available from ING Groep's fundamental data. We analyze noise-free headlines and recent hype associated with ING Groep NV, which may create opportunities for some arbitrage if properly timed.
Using ING Groep hype-based prediction, you can estimate the value of ING Groep NV from the perspective of ING Groep response to recently generated media hype and the effects of current headlines on its competitors.
The 20 Period Moving Average forecasted value of ING Groep NV on the next trading day is expected to be 28.32 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 39.20.

ING Groep after-hype prediction price

    
  USD 27.74  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of ING Groep to cross-verify your projections.

ING Groep Additional Predictive Modules

Most predictive techniques to examine ING price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for ING using various technical 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.
A commonly used 20-period moving average forecast model for ING Groep NV is based on a synthetically constructed ING Groepdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

ING Groep 20 Period Moving Average Price Forecast For the 21st of January

Given 90 days horizon, the 20 Period Moving Average forecasted value of ING Groep NV on the next trading day is expected to be 28.32 with a mean absolute deviation of 0.96, mean absolute percentage error of 1.35, and the sum of the absolute errors of 39.20.
Please note that although there have been many attempts to predict ING Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that ING Groep's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ING Groep Pink Sheet Forecast Pattern

Backtest ING GroepING Groep Price PredictionBuy or Sell Advice 

ING Groep Forecasted Value

In the context of forecasting ING Groep's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. ING Groep's downside and upside margins for the forecasting period are 26.62 and 30.03, respectively. We have considered ING Groep's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
29.13
28.32
Expected Value
30.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of ING Groep pink sheet data series using in forecasting. Note that when a statistical model is used to represent ING Groep pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria81.6499
BiasArithmetic mean of the errors -0.9077
MADMean absolute deviation0.956
MAPEMean absolute percentage error0.0344
SAESum of the absolute errors39.195
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. ING Groep NV 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for ING Groep

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ING Groep NV. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ING Groep'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
26.0427.7429.44
Details
Intrinsic
Valuation
LowRealHigh
21.3723.0731.27
Details

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 Pink Sheet 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 pink sheet 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 pink sheet 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.

ING Groep Market Strength Events

Market strength indicators help investors to evaluate how ING Groep pink sheet 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 pink sheet market strength indicators, traders can identify ING Groep NV entry and exit signals to maximize returns.

ING Groep Risk Indicators

The analysis of ING Groep's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in ING Groep's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ing pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Currently Active Assets on Macroaxis

Other Information on Investing in ING Pink Sheet

ING Groep financial ratios help investors to determine whether ING Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ING with respect to the benefits of owning ING Groep security.