ING Bank (Poland) Technical Analysis
| ING Stock | 244.50 4.00 1.66% |
As of the 22nd of November, ING Bank retains the Risk Adjusted Performance of (0.05), coefficient of variation of (1,442), and Market Risk Adjusted Performance of 3.6. 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 coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and skewness to decide if ING Bank is priced fairly, providing market reflects its last-minute price of 244.5 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 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 twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of ING Bank lski volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ING Bank lski Trend Analysis
Use this graph to draw trend lines for ING Bank lski. You can use it to identify possible trend reversals for ING Bank as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual ING Bank price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ING Bank Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ING Bank lski applied against its price change over selected period. The best fit line has a slop of 0.3 , which may suggest that ING Bank lski market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3427.84, which is the sum of squared deviations for the predicted ING Bank price change compared to its average price change.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 November 22, 2024 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 | (0.05) | |||
| Market Risk Adjusted Performance | 3.6 | |||
| Mean Deviation | 1.44 | |||
| Coefficient Of Variation | (1,442) | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.69 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.39) | |||
| Treynor Ratio | 3.59 | |||
| Maximum Drawdown | 10.06 | |||
| Value At Risk | (3.92) | |||
| Potential Upside | 2.73 | |||
| Skewness | (0.09) | |||
| Kurtosis | 0.936 |
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.