Online Brands (Sweden) Technical Analysis
| OBAB Stock | SEK 10.65 0.10 0.95% |
As of the 26th of November, Online Brands holds the Variance of 24.28, risk adjusted performance of (0.02), and Coefficient Of Variation of (2,361). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Online Brands, as well as the relationship between them.
Online Brands Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Online, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OnlineOnline |
Online Brands 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.
Online Brands Nordic Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Online Brands Nordic volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Online Brands Nordic Trend Analysis
Use this graph to draw trend lines for Online Brands Nordic. You can use it to identify possible trend reversals for Online Brands 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 Online Brands price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Online Brands Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Online Brands Nordic applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Online Brands Nordic will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.99, which is the sum of squared deviations for the predicted Online Brands price change compared to its average price change.About Online Brands 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 Online Brands Nordic 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 Online Brands Nordic based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Online Brands Nordic price pattern first instead of the macroeconomic environment surrounding Online Brands Nordic. By analyzing Online Brands'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 Online Brands'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 Online Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
Online Brands November 26, 2024 Technical Indicators
Most technical analysis of Online 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 Online from various momentum indicators to cycle indicators. When you analyze Online 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 | (0.02) | |||
| Market Risk Adjusted Performance | (1.29) | |||
| Mean Deviation | 3.3 | |||
| Coefficient Of Variation | (2,361) | |||
| Standard Deviation | 4.93 | |||
| Variance | 24.28 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (1.30) | |||
| Maximum Drawdown | 28.87 | |||
| Value At Risk | (7.66) | |||
| Potential Upside | 10.14 | |||
| Skewness | 1.17 | |||
| Kurtosis | 3.06 |
Additional Tools for Online Stock Analysis
When running Online Brands' price analysis, check to measure Online Brands' 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 Online Brands is operating at the current time. Most of Online Brands' value examination focuses on studying past and present price action to predict the probability of Online Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Online Brands' price. Additionally, you may evaluate how the addition of Online Brands to your portfolios can decrease your overall portfolio volatility.