Service Properties (Germany) Technical Analysis
| HPO Stock | EUR 2.63 0.21 8.68% |
As of the 29th of November, Service Properties has the Risk Adjusted Performance of (0.08), variance of 22.92, and Coefficient Of Variation of (884.61). Service Properties technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Service Properties Trust coefficient of variation, treynor ratio, skewness, as well as the relationship between the variance and value at risk to decide if Service Properties is priced more or less accurately, providing market reflects its prevalent price of 2.63 per share.
Service Properties Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Service, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ServiceService |
Service Properties 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.
Service Properties Trust 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 Service Properties Trust volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Service Properties Trust Trend Analysis
Use this graph to draw trend lines for Service Properties Trust. You can use it to identify possible trend reversals for Service Properties 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 Service Properties price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Service Properties Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Service Properties Trust applied against its price change over selected period. The best fit line has a slop of 0.03 , which may suggest that Service Properties Trust market price will keep on failing further. It has 122 observation points and a regression sum of squares at 46.25, which is the sum of squared deviations for the predicted Service Properties price change compared to its average price change.About Service Properties 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 Service Properties Trust 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 Service Properties Trust based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Service Properties Trust price pattern first instead of the macroeconomic environment surrounding Service Properties Trust. By analyzing Service Properties'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 Service Properties'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 Service Properties specific price patterns or momentum indicators. Please read more on our technical analysis page.
Service Properties November 29, 2024 Technical Indicators
Most technical analysis of Service 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 Service from various momentum indicators to cycle indicators. When you analyze Service 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.50) | |||
| Mean Deviation | 3.51 | |||
| Coefficient Of Variation | (884.61) | |||
| Standard Deviation | 4.79 | |||
| Variance | 22.92 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.68) | |||
| Total Risk Alpha | (1.27) | |||
| Treynor Ratio | (0.51) | |||
| Maximum Drawdown | 24.16 | |||
| Value At Risk | (8.79) | |||
| Potential Upside | 6.28 | |||
| Skewness | (0.12) | |||
| Kurtosis | 2.29 |
Complementary Tools for Service Stock analysis
When running Service Properties' price analysis, check to measure Service Properties' 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 Service Properties is operating at the current time. Most of Service Properties' value examination focuses on studying past and present price action to predict the probability of Service Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Service Properties' price. Additionally, you may evaluate how the addition of Service Properties to your portfolios can decrease your overall portfolio volatility.
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