Danske Invest (Denmark) Technical Analysis
| DKIKO Stock | DKK 94.43 0.08 0.08% |
As of the 2nd of December, Danske Invest shows the Coefficient Of Variation of 255.82, standard deviation of 0.0646, and Mean Deviation of 0.0493. Our technical analysis interface provides you with a way to check existing technical drivers of Danske Invest, as well as the relationship between them.
Danske Invest 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 Invest 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.
Danske Invest Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Danske Invest volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Danske Invest Trend Analysis
Use this graph to draw trend lines for Danske Invest . You can use it to identify possible trend reversals for Danske Invest 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 Danske Invest price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Danske Invest Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Danske Invest applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Danske Invest will continue generating value for investors. It has 122 observation points and a regression sum of squares at 11.29, which is the sum of squared deviations for the predicted Danske Invest price change compared to its average price change.About Danske Invest 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 Invest 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 Invest based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Danske Invest price pattern first instead of the macroeconomic environment surrounding Danske Invest. By analyzing Danske Invest'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 Invest'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 Invest specific price patterns or momentum indicators. Please read more on our technical analysis page.
Danske Invest December 2, 2024 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 | 0.1905 | |||
| Market Risk Adjusted Performance | 3.4 | |||
| Mean Deviation | 0.0493 | |||
| Downside Deviation | 0.0822 | |||
| Coefficient Of Variation | 255.82 | |||
| Standard Deviation | 0.0646 | |||
| Variance | 0.0042 | |||
| Information Ratio | (1.74) | |||
| Jensen Alpha | 0.0147 | |||
| Total Risk Alpha | 0.0045 | |||
| Sortino Ratio | (1.37) | |||
| Treynor Ratio | 3.39 | |||
| Maximum Drawdown | 0.299 | |||
| Value At Risk | (0.1) | |||
| Potential Upside | 0.1171 | |||
| Downside Variance | 0.0068 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.06) | |||
| Skewness | (0.88) | |||
| Kurtosis | 1.07 |
Complementary Tools for Danske Stock analysis
When running Danske Invest's price analysis, check to measure Danske Invest'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 Invest is operating at the current time. Most of Danske Invest's value examination focuses on studying past and present price action to predict the probability of Danske Invest'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 Invest's price. Additionally, you may evaluate how the addition of Danske Invest to your portfolios can decrease your overall portfolio volatility.
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