K2A Knaust (Sweden) Technical Analysis
K2A-B Stock | SEK 8.41 0.01 0.12% |
As of the 28th of March, K2A Knaust owns the Mean Deviation of 1.96, downside deviation of 2.53, and Market Risk Adjusted Performance of 0.1554. K2A Knaust Andersson technical analysis lets you operate past data patterns with an objective to determine a pattern that forecasts the direction of the entity's future prices. Strictly speaking, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume patterns, or the prices will eventually revert. We have analyzed nineteen technical drivers for K2A Knaust, which can be compared to its peers in the sector. Please verify K2A Knaust Andersson mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if K2A Knaust Andersson is priced some-what accurately, providing market reflects its prevailing price of 8.41 per share.
K2A Knaust Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as K2A, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to K2AK2A |
K2A Knaust 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.
K2A Knaust Andersson Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 K2A Knaust Andersson volatility. High ATR values indicate high volatility, and low values indicate low volatility.
K2A Knaust Andersson Trend Analysis
Use this graph to draw trend lines for K2A Knaust Andersson. You can use it to identify possible trend reversals for K2A Knaust 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 K2A Knaust price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.K2A Knaust Best Fit Change Line
The following chart estimates an ordinary least squares regression model for K2A Knaust Andersson applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that K2A Knaust Andersson market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5.45, which is the sum of squared deviations for the predicted K2A Knaust price change compared to its average price change.About K2A Knaust 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 K2A Knaust Andersson 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 K2A Knaust Andersson based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on K2A Knaust Andersson price pattern first instead of the macroeconomic environment surrounding K2A Knaust Andersson. By analyzing K2A Knaust'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 K2A Knaust'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 K2A Knaust specific price patterns or momentum indicators. Please read more on our technical analysis page.
K2A Knaust March 28, 2024 Technical Indicators
Most technical analysis of K2A 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 K2A from various momentum indicators to cycle indicators. When you analyze K2A 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 | 0.0243 | |||
Market Risk Adjusted Performance | 0.1554 | |||
Mean Deviation | 1.96 | |||
Semi Deviation | 2.4 | |||
Downside Deviation | 2.53 | |||
Coefficient Of Variation | 3385.92 | |||
Standard Deviation | 2.66 | |||
Variance | 7.07 | |||
Information Ratio | (0.02) | |||
Jensen Alpha | 0.0099 | |||
Total Risk Alpha | (0.53) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 0.1454 | |||
Maximum Drawdown | 13.82 | |||
Value At Risk | (4.89) | |||
Potential Upside | 4.75 | |||
Downside Variance | 6.38 | |||
Semi Variance | 5.75 | |||
Expected Short fall | (2.23) | |||
Skewness | 0.2949 | |||
Kurtosis | 0.9087 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in K2A Knaust Andersson. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics. Note that the K2A Knaust Andersson information on this page should be used as a complementary analysis to other K2A Knaust's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Complementary Tools for K2A Stock analysis
When running K2A Knaust's price analysis, check to measure K2A Knaust'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 K2A Knaust is operating at the current time. Most of K2A Knaust's value examination focuses on studying past and present price action to predict the probability of K2A Knaust's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move K2A Knaust's price. Additionally, you may evaluate how the addition of K2A Knaust to your portfolios can decrease your overall portfolio volatility.
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |