SES SA (Germany) Technical Analysis
SES Stock | EUR 4.33 0.08 1.88% |
As of the 3rd of March, SES SA has the coefficient of variation of 568.23, and Risk Adjusted Performance of 0.1373. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SES SA, as well as the relationship between them. Please validate SES SA potential upside, and the relationship between the maximum drawdown and semi variance to decide if SES SA is priced adequately, providing market reflects its prevalent price of 4.33 per share.
SES 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 SES, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SESSES |
SES SA 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.
SES SA Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-one. 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 SES SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SES SA Trend Analysis
Use this graph to draw trend lines for SES SA. You can use it to identify possible trend reversals for SES 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 SES SA price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SES SA Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SES SA applied against its price change over selected period. The best fit line has a slop of 0.01 , which means SES SA will continue generating value for investors. It has 122 observation points and a regression sum of squares at 8.22, which is the sum of squared deviations for the predicted SES SA price change compared to its average price change.About SES 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 SES 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 SES SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SES SA price pattern first instead of the macroeconomic environment surrounding SES SA. By analyzing SES 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 SES 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 SES SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
SES SA March 3, 2025 Technical Indicators
Most technical analysis of SES 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 SES from various momentum indicators to cycle indicators. When you analyze SES 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 | 0.1373 | |||
Market Risk Adjusted Performance | 1.09 | |||
Mean Deviation | 2.23 | |||
Semi Deviation | 1.9 | |||
Downside Deviation | 2.39 | |||
Coefficient Of Variation | 568.23 | |||
Standard Deviation | 3.17 | |||
Variance | 10.07 | |||
Information Ratio | 0.1801 | |||
Jensen Alpha | 0.5602 | |||
Total Risk Alpha | 0.6476 | |||
Sortino Ratio | 0.2391 | |||
Treynor Ratio | 1.08 | |||
Maximum Drawdown | 16.42 | |||
Value At Risk | (3.46) | |||
Potential Upside | 4.99 | |||
Downside Variance | 5.71 | |||
Semi Variance | 3.59 | |||
Expected Short fall | (2.76) | |||
Skewness | 1.39 | |||
Kurtosis | 3.46 |
Complementary Tools for SES Stock analysis
When running SES SA's price analysis, check to measure SES 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 SES SA is operating at the current time. Most of SES SA's value examination focuses on studying past and present price action to predict the probability of SES 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 SES SA's price. Additionally, you may evaluate how the addition of SES SA to your portfolios can decrease your overall portfolio volatility.
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