ING Bank (Poland) Technical Analysis
| ING Stock | 406.00 12.50 2.99% |
As of the 15th of February 2026, ING Bank retains the Semi Deviation of 0.7993, market risk adjusted performance of 2.46, and Risk Adjusted Performance of 0.2247. ING Bank technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out ING Bank lski variance, as well as the relationship between the maximum drawdown and semi variance to decide if ING Bank is priced fairly, providing market reflects its last-minute price of 406.0 per share.
ING Bank Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ING, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to INGING |
ING Bank 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to ING Bank's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of ING Bank.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in ING Bank on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding ING Bank lski or generate 0.0% return on investment in ING Bank over 90 days. ING Bank is related to or competes with Carlson Investments, Alior Bank, Quantum Software, Echo Investment, PMPG Polskie, and Skyline Investment. More
ING Bank Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure ING Bank's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess ING Bank lski upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | 0.2233 | |||
| Maximum Drawdown | 6.31 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 2.69 |
ING Bank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ING Bank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ING Bank's standard deviation. In reality, there are many statistical measures that can use ING Bank historical prices to predict the future ING Bank's volatility.| Risk Adjusted Performance | 0.2247 | |||
| Jensen Alpha | 0.3637 | |||
| Total Risk Alpha | 0.2688 | |||
| Sortino Ratio | 0.2508 | |||
| Treynor Ratio | 2.45 |
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 February 15, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2247 | |||
| Market Risk Adjusted Performance | 2.46 | |||
| Mean Deviation | 1.02 | |||
| Semi Deviation | 0.7993 | |||
| Downside Deviation | 1.25 | |||
| Coefficient Of Variation | 366.02 | |||
| Standard Deviation | 1.4 | |||
| Variance | 1.96 | |||
| Information Ratio | 0.2233 | |||
| Jensen Alpha | 0.3637 | |||
| Total Risk Alpha | 0.2688 | |||
| Sortino Ratio | 0.2508 | |||
| Treynor Ratio | 2.45 | |||
| Maximum Drawdown | 6.31 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 2.69 | |||
| Downside Variance | 1.56 | |||
| Semi Variance | 0.6389 | |||
| Expected Short fall | (1.29) | |||
| Skewness | 0.3049 | |||
| Kurtosis | 1.33 |
ING Bank lski Backtested Returns
ING Bank appears to be very steady, given 3 months investment horizon. ING Bank lski holds Efficiency (Sharpe) Ratio of 0.24, which attests that the entity had a 0.24 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ING Bank lski, which you can use to evaluate the volatility of the firm. Please utilize ING Bank's Market Risk Adjusted Performance of 2.46, risk adjusted performance of 0.2247, and Semi Deviation of 0.7993 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ING Bank holds a performance score of 18. The company retains a Market Volatility (i.e., Beta) of 0.15, which attests to not very significant fluctuations relative to the market. As returns on the market increase, ING Bank's returns are expected to increase less than the market. However, during the bear market, the loss of holding ING Bank is expected to be smaller as well. Please check ING Bank's jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether ING Bank's current trending patterns will revert.
Auto-correlation | -0.04 |
Very weak reverse predictability
ING Bank lski has very weak reverse predictability. Overlapping area represents the amount of predictability between ING Bank time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ING Bank lski price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current ING Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 607.61 |
ING Bank 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.
ING Bank lski Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for ING Bank lski across different markets.
About ING Bank Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of ING Bank lski on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of ING Bank lski based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ING Bank lski price pattern first instead of the macroeconomic environment surrounding ING Bank lski. By analyzing ING Bank's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of ING Bank's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to ING Bank specific price patterns or momentum indicators. Please read more on our technical analysis page.
ING Bank February 15, 2026 Technical Indicators
Most technical analysis of ING 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 different 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 |
| Risk Adjusted Performance | 0.2247 | |||
| Market Risk Adjusted Performance | 2.46 | |||
| Mean Deviation | 1.02 | |||
| Semi Deviation | 0.7993 | |||
| Downside Deviation | 1.25 | |||
| Coefficient Of Variation | 366.02 | |||
| Standard Deviation | 1.4 | |||
| Variance | 1.96 | |||
| Information Ratio | 0.2233 | |||
| Jensen Alpha | 0.3637 | |||
| Total Risk Alpha | 0.2688 | |||
| Sortino Ratio | 0.2508 | |||
| Treynor Ratio | 2.45 | |||
| Maximum Drawdown | 6.31 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 2.69 | |||
| Downside Variance | 1.56 | |||
| Semi Variance | 0.6389 | |||
| Expected Short fall | (1.29) | |||
| Skewness | 0.3049 | |||
| Kurtosis | 1.33 |
ING Bank February 15, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as ING stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.03 | ||
| Daily Balance Of Power | (0.93) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 411.75 | ||
| Day Typical Price | 409.83 | ||
| Price Action Indicator | (12.00) | ||
| Market Facilitation Index | 13.50 |
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.