Seb Sa Stock Technical Analysis
| SEBYF Stock | USD 86.20 0.00 0.00% |
As of the 31st of January, SEB SA owns the standard deviation of 1.73, and Risk Adjusted Performance of (0.17). Compared to fundamental indicators, the technical analysis model makes it possible for you to check helpful technical drivers of SEB SA, as well as the relationship between them. Please validate SEB SA mean deviation and treynor ratio to decide if SEB SA is priced fairly, providing market reflects its prevailing price of 86.2 per share. Given that SEB SA has total risk alpha of (0.57), we advise you to double-check SEB SA's latest market performance to make sure the company can sustain itself in the future.
SEB SA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SEB, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SEBSEB |
SEB SA 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.
SEB SA Technical Analysis
The output start index for this execution was fourty-five with a total number of output elements of sixteen. 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 SEB SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SEB SA Trend Analysis
Use this graph to draw trend lines for SEB SA. You can use it to identify possible trend reversals for SEB SA 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 SEB SA price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SEB SA Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SEB SA applied against its price change over selected period. The best fit line has a slop of 0.31 , which may suggest that SEB SA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3731.22, which is the sum of squared deviations for the predicted SEB SA price change compared to its average price change.About SEB SA 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 SEB SA 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 SEB SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SEB SA price pattern first instead of the macroeconomic environment surrounding SEB SA. By analyzing SEB SA'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 SEB SA'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 SEB SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
SEB SA January 31, 2025 Technical Indicators
Most technical analysis of SEB 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 SEB from various momentum indicators to cycle indicators. When you analyze SEB 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 | (0.17) | |||
| Market Risk Adjusted Performance | (0.93) | |||
| Mean Deviation | 0.7952 | |||
| Coefficient Of Variation | (468.40) | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.99 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0.42) | |||
| Total Risk Alpha | (0.57) | |||
| Treynor Ratio | (0.94) | |||
| Maximum Drawdown | 10.96 | |||
| Value At Risk | (3.26) | |||
| Skewness | (4.27) | |||
| Kurtosis | 23.14 |
Complementary Tools for SEB Pink Sheet analysis
When running SEB SA's price analysis, check to measure SEB SA'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 SEB SA is operating at the current time. Most of SEB SA's value examination focuses on studying past and present price action to predict the probability of SEB SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SEB SA's price. Additionally, you may evaluate how the addition of SEB SA to your portfolios can decrease your overall portfolio volatility.
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