ING Bank Stock Forecast - Simple Exponential Smoothing
| ING Stock | 366.50 0.50 0.14% |
The Simple Exponential Smoothing forecasted value of ING Bank lski on the next trading day is expected to be 366.50 with a mean absolute deviation of 3.13 and the sum of the absolute errors of 191.00. ING Stock Forecast is based on your current time horizon.
As of today the value of rsi of ING Bank's share price is below 20 . This usually indicates that the stock 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 |
Using ING Bank hype-based prediction, you can estimate the value of ING Bank lski from the perspective of ING Bank response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of ING Bank lski on the next trading day is expected to be 366.50 with a mean absolute deviation of 3.13 and the sum of the absolute errors of 191.00. ING Bank after-hype prediction price | PLN 366.5 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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ING Bank 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.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ING Bank Simple Exponential Smoothing Price Forecast For the 25th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of ING Bank lski on the next trading day is expected to be 366.50 with a mean absolute deviation of 3.13, mean absolute percentage error of 17.97, and the sum of the absolute errors of 191.00.Please note that although there have been many attempts to predict ING Stock 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 Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ING Bank Stock Forecast Pattern
| Backtest ING Bank | ING Bank Price Prediction | Buy or Sell Advice |
ING Bank Forecasted Value
In the context of forecasting ING Bank's Stock 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 Bank's downside and upside margins for the forecasting period are 365.25 and 367.75, respectively. We have considered ING Bank'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of ING Bank stock data series using in forecasting. Note that when a statistical model is used to represent ING Bank stock, 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.| AIC | Akaike Information Criteria | 120.999 |
| Bias | Arithmetic mean of the errors | -0.8033 |
| MAD | Mean absolute deviation | 3.1311 |
| MAPE | Mean absolute percentage error | 0.0093 |
| SAE | Sum of the absolute errors | 191.0 |
Predictive Modules for ING Bank
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 Bank lski. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Bank'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.
ING Bank After-Hype Price Prediction Density Analysis
As far as predicting the price of ING Bank at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in ING Bank or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of ING Bank, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
ING Bank Estimiated After-Hype Price Volatility
In the context of predicting ING Bank's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on ING Bank's historical news coverage. ING Bank's after-hype downside and upside margins for the prediction period are 365.25 and 367.75, respectively. We have considered ING Bank's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
ING Bank is very steady at this time. Analysis and calculation of next after-hype price of ING Bank lski is based on 3 months time horizon.
ING Bank Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as ING Bank is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading ING Bank backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with ING Bank, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.26 | 1.25 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
366.50 | 366.50 | 0.00 |
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ING Bank Hype Timeline
ING Bank lski is currently traded for 366.50on Warsaw Stock Exchange of Poland. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. ING is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.26%. %. The volatility of related hype on ING Bank is about 0.0%, with the expected price after the next announcement by competition of 366.50. About 85.0% of the company shares are owned by institutional investors. The book value of ING Bank was currently reported as 73.59. The company recorded earning per share (EPS) of 13.2. ING Bank lski last dividend was issued on the 13th of April 2022. The entity had 10:1 split on the 18th of November 2011. Assuming the 90 days trading horizon the next projected press release will be uncertain. Check out Historical Fundamental Analysis of ING Bank to cross-verify your projections.ING Bank Related Hype Analysis
Having access to credible news sources related to ING Bank's direct competition is more important than ever and may enhance your ability to predict ING Bank's future price movements. Getting to know how ING Bank's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how ING Bank may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SWM | SOFTWARE MANSION SPOLKA | 0.00 | 0 per month | 0.00 | (0.06) | 3.83 | (5.46) | 17.29 | |
| GTC | Globe Trade Centre | 0.00 | 0 per month | 0.00 | (0.29) | 3.27 | (3.12) | 9.58 | |
| IFC | Investment Friends Capital | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MLK | Mlk Foods Public | 0.00 | 0 per month | 2.00 | 0.05 | 4.55 | (3.83) | 18.00 | |
| MRC | Mercator Medical SA | 0.00 | 0 per month | 0.00 | (0.10) | 1.19 | (1.30) | 6.74 | |
| MOV | Movie Games SA | 0.00 | 0 per month | 0.00 | (0.23) | 5.38 | (4.26) | 14.50 | |
| K2P | Kool2play SA | 0.00 | 0 per month | 0.00 | (0.06) | 4.35 | (4.44) | 24.85 |
Other Forecasting Options for ING Bank
For every potential investor in ING, whether a beginner or expert, ING Bank'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 Bank's price trends.ING Bank 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 Bank stock to make a market-neutral strategy. Peer analysis of ING Bank could also be used in its relative valuation, which is a method of valuing ING Bank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ING Bank Market Strength Events
Market strength indicators help investors to evaluate how ING Bank 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 Bank shares will generate the highest return on investment. By undertsting and applying ING Bank stock market strength indicators, traders can identify ING Bank lski entry and exit signals to maximize returns.
ING Bank Risk Indicators
The analysis of ING Bank'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 Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ing stock 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.
| Mean Deviation | 0.9481 | |||
| Semi Deviation | 0.7964 | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.57 | |||
| Downside Variance | 1.35 | |||
| Semi Variance | 0.6342 | |||
| Expected Short fall | (1.17) |
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.
Story Coverage note for ING Bank
The number of cover stories for ING Bank depends on current market conditions and ING Bank's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that ING Bank is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about ING Bank's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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ING Bank Short Properties
ING Bank's future price predictability will typically decrease when ING Bank's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of ING Bank lski often depends not only on the future outlook of the potential ING Bank's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. ING Bank's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 130.1 M | |
| Cash And Short Term Investments | 4 B |
Additional Tools for ING Stock Analysis
When running ING Bank's price analysis, check to measure ING Bank'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 Bank is operating at the current time. Most of ING Bank's value examination focuses on studying past and present price action to predict the probability of ING Bank'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 Bank's price. Additionally, you may evaluate how the addition of ING Bank to your portfolios can decrease your overall portfolio volatility.