Danske Bank As Stock Technical Analysis
| DNKEY Stock | USD 26.80 0.33 1.22% |
As of the 13th of February 2026, Danske Bank shows the Mean Deviation of 0.9933, coefficient of variation of 494.07, and Downside Deviation of 1.15. Danske Bank AS technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Danske 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 Danske, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DanskeDanske |
Danske 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 Danske Bank's pink sheet 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 Danske Bank.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Danske Bank on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Danske Bank AS or generate 0.0% return on investment in Danske Bank over 90 days. Danske Bank is related to or competes with Skandinaviska Enskilda, DNB Bank, DNB Bank, Bank Rakyat, Swedbank, Erste Group, and PT Bank. Danske Bank AS provides various banking products and services to corporate, institutional, and international clients More
Danske 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 Danske Bank's pink sheet 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 Danske Bank AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.15 | |||
| Information Ratio | 0.138 | |||
| Maximum Drawdown | 5.36 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 2.31 |
Danske Bank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Danske Bank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Danske Bank's standard deviation. In reality, there are many statistical measures that can use Danske Bank historical prices to predict the future Danske Bank's volatility.| Risk Adjusted Performance | 0.1679 | |||
| Jensen Alpha | 0.1736 | |||
| Total Risk Alpha | 0.1344 | |||
| Sortino Ratio | 0.1502 | |||
| Treynor Ratio | 0.2462 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Danske 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.
Danske Bank February 13, 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 | 0.1679 | |||
| Market Risk Adjusted Performance | 0.2562 | |||
| Mean Deviation | 0.9933 | |||
| Semi Deviation | 0.9448 | |||
| Downside Deviation | 1.15 | |||
| Coefficient Of Variation | 494.07 | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.57 | |||
| Information Ratio | 0.138 | |||
| Jensen Alpha | 0.1736 | |||
| Total Risk Alpha | 0.1344 | |||
| Sortino Ratio | 0.1502 | |||
| Treynor Ratio | 0.2462 | |||
| Maximum Drawdown | 5.36 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 2.31 | |||
| Downside Variance | 1.32 | |||
| Semi Variance | 0.8927 | |||
| Expected Short fall | (1.13) | |||
| Skewness | 0.0723 | |||
| Kurtosis | (0.10) |
Danske Bank AS Backtested Returns
Danske Bank appears to be very steady, given 3 months investment horizon. Danske Bank AS secures Sharpe Ratio (or Efficiency) of 0.23, which denotes the company had a 0.23 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Danske Bank AS, which you can use to evaluate the volatility of the firm. Please utilize Danske Bank's Mean Deviation of 0.9933, coefficient of variation of 494.07, and Downside Deviation of 1.15 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Danske Bank holds a performance score of 18. The firm shows a Beta (market volatility) of 0.99, which means possible diversification benefits within a given portfolio. Danske Bank returns are very sensitive to returns on the market. As the market goes up or down, Danske Bank is expected to follow. Please check Danske Bank's maximum drawdown, as well as the relationship between the skewness and day typical price , to make a quick decision on whether Danske Bank's price patterns will revert.
Auto-correlation | 0.78 |
Good predictability
Danske Bank AS has good predictability. Overlapping area represents the amount of predictability between Danske Bank time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 Danske Bank AS price movement. The serial correlation of 0.78 indicates that around 78.0% of current Danske Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.73 |
Danske Bank technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Danske Bank AS 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 Danske Bank AS across different markets.
About Danske 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 Danske Bank AS 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 Danske Bank AS based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Danske Bank AS price pattern first instead of the macroeconomic environment surrounding Danske Bank AS. By analyzing Danske 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 Danske 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 Danske Bank specific price patterns or momentum indicators. Please read more on our technical analysis page.
Danske Bank February 13, 2026 Technical Indicators
Most technical analysis of Danske 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 Danske from various momentum indicators to cycle indicators. When you analyze Danske 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 | 0.1679 | |||
| Market Risk Adjusted Performance | 0.2562 | |||
| Mean Deviation | 0.9933 | |||
| Semi Deviation | 0.9448 | |||
| Downside Deviation | 1.15 | |||
| Coefficient Of Variation | 494.07 | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.57 | |||
| Information Ratio | 0.138 | |||
| Jensen Alpha | 0.1736 | |||
| Total Risk Alpha | 0.1344 | |||
| Sortino Ratio | 0.1502 | |||
| Treynor Ratio | 0.2462 | |||
| Maximum Drawdown | 5.36 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 2.31 | |||
| Downside Variance | 1.32 | |||
| Semi Variance | 0.8927 | |||
| Expected Short fall | (1.13) | |||
| Skewness | 0.0723 | |||
| Kurtosis | (0.10) |
Danske Bank February 13, 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 Danske 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 | 22.47 | ||
| Daily Balance Of Power | (3.67) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 26.78 | ||
| Day Typical Price | 26.78 | ||
| Price Action Indicator | (0.14) |
Additional Tools for Danske Pink Sheet Analysis
When running Danske Bank's price analysis, check to measure Danske 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 Danske Bank is operating at the current time. Most of Danske Bank's value examination focuses on studying past and present price action to predict the probability of Danske 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 Danske Bank's price. Additionally, you may evaluate how the addition of Danske Bank to your portfolios can decrease your overall portfolio volatility.