SSP Group (Germany) Technical Analysis
| 83S2 Stock | 2.04 0.04 1.92% |
SSP Group Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SSP, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SSPSSP |
SSP Group 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.
SSP Group PLC 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 SSP Group PLC volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SSP Group PLC Trend Analysis
Use this graph to draw trend lines for SSP Group PLC. You can use it to identify possible trend reversals for SSP Group 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 SSP Group price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SSP Group Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SSP Group PLC applied against its price change over selected period. The best fit line has a slop of 0 , which means SSP Group PLC will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.65, which is the sum of squared deviations for the predicted SSP Group price change compared to its average price change.SSP Group December 27, 2024 Technical Indicators
Most technical analysis of SSP 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 SSP from various momentum indicators to cycle indicators. When you analyze SSP 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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| Volume Indicators |
| Risk Adjusted Performance | 0.0624 | |||
| Market Risk Adjusted Performance | 0.6038 | |||
| Mean Deviation | 1.67 | |||
| Semi Deviation | 1.83 | |||
| Downside Deviation | 2.18 | |||
| Coefficient Of Variation | 1424.22 | |||
| Standard Deviation | 2.39 | |||
| Variance | 5.7 | |||
| Information Ratio | 0.0479 | |||
| Jensen Alpha | 0.1462 | |||
| Total Risk Alpha | 0.0275 | |||
| Sortino Ratio | 0.0524 | |||
| Treynor Ratio | 0.5938 | |||
| Maximum Drawdown | 13.28 | |||
| Value At Risk | (4.15) | |||
| Potential Upside | 3.81 | |||
| Downside Variance | 4.77 | |||
| Semi Variance | 3.34 | |||
| Expected Short fall | (2.21) | |||
| Skewness | 1.04 | |||
| Kurtosis | 4.67 |
Additional Tools for SSP Stock Analysis
When running SSP Group's price analysis, check to measure SSP Group'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 SSP Group is operating at the current time. Most of SSP Group's value examination focuses on studying past and present price action to predict the probability of SSP Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SSP Group's price. Additionally, you may evaluate how the addition of SSP Group to your portfolios can decrease your overall portfolio volatility.