Sydinvest Mellemlange (Denmark) Technical Analysis
SYIMOADKKA | DKK 104.52 0.09 0.09% |
As of the 24th of November, Sydinvest Mellemlange has the Standard Deviation of 0.087, risk adjusted performance of 0.1334, and Downside Deviation of 0.1042. Our technical analysis interface makes it possible for you to check existing technical drivers of Sydinvest Mellemlange, as well as the relationship between them. Please validate Sydinvest Mellemlange downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Sydinvest Mellemlange is priced more or less accurately, providing market reflects its prevalent price of 104.52 per share.
Sydinvest Mellemlange Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sydinvest, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SydinvestSydinvest |
Sydinvest Mellemlange 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.
Sydinvest Mellemlange Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Sydinvest Mellemlange volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sydinvest Mellemlange Trend Analysis
Use this graph to draw trend lines for Sydinvest Mellemlange Obligationer. You can use it to identify possible trend reversals for Sydinvest Mellemlange 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 Sydinvest Mellemlange price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sydinvest Mellemlange Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sydinvest Mellemlange Obligationer applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Sydinvest Mellemlange Obligationer will continue generating value for investors. It has 122 observation points and a regression sum of squares at 16.08, which is the sum of squared deviations for the predicted Sydinvest Mellemlange price change compared to its average price change.About Sydinvest Mellemlange 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 Sydinvest Mellemlange Obligationer 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 Sydinvest Mellemlange Obligationer based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sydinvest Mellemlange price pattern first instead of the macroeconomic environment surrounding Sydinvest Mellemlange. By analyzing Sydinvest Mellemlange'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 Sydinvest Mellemlange'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 Sydinvest Mellemlange specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sydinvest Mellemlange November 24, 2024 Technical Indicators
Most technical analysis of Sydinvest 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 Sydinvest from various momentum indicators to cycle indicators. When you analyze Sydinvest 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.
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Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.1334 | |||
Market Risk Adjusted Performance | 0.4831 | |||
Mean Deviation | 0.0692 | |||
Downside Deviation | 0.1042 | |||
Coefficient Of Variation | 362.53 | |||
Standard Deviation | 0.087 | |||
Variance | 0.0076 | |||
Information Ratio | (1.23) | |||
Jensen Alpha | 0.0104 | |||
Total Risk Alpha | 3.0E-4 | |||
Sortino Ratio | (1.02) | |||
Treynor Ratio | 0.4731 | |||
Maximum Drawdown | 0.3557 | |||
Value At Risk | (0.13) | |||
Potential Upside | 0.1639 | |||
Downside Variance | 0.0109 | |||
Semi Variance | (0.02) | |||
Expected Short fall | (0.08) | |||
Skewness | (0.34) | |||
Kurtosis | (0.50) |
Complementary Tools for Sydinvest Stock analysis
When running Sydinvest Mellemlange's price analysis, check to measure Sydinvest Mellemlange'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 Sydinvest Mellemlange is operating at the current time. Most of Sydinvest Mellemlange's value examination focuses on studying past and present price action to predict the probability of Sydinvest Mellemlange's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sydinvest Mellemlange's price. Additionally, you may evaluate how the addition of Sydinvest Mellemlange to your portfolios can decrease your overall portfolio volatility.
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