Service Properties Trust Stock Technical Analysis
| SVC Stock | USD 2.70 0.07 2.53% |
As of the 27th of March, Service Properties has the Coefficient Of Variation of 1341.12, risk adjusted performance of 0.071, and Semi Deviation of 3.51. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Service Properties Trust, as well as the relationship between them.
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 Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 2.98 | Hold | 3 | Odds |
Most Service analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Service stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Service Properties Trust, talking to its executives and customers, or listening to Service conference calls.
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
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 , which may imply that Service Properties Trust will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 0.33, 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.
| 2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0317 | 0.094 | 0.24 | 0.25 | Price To Sales Ratio | 0.64 | 0.75 | 0.22 | 0.21 |
Service Properties March 27, 2025 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.071 | |||
| Market Risk Adjusted Performance | 0.1617 | |||
| Mean Deviation | 2.73 | |||
| Semi Deviation | 3.51 | |||
| Downside Deviation | 3.8 | |||
| Coefficient Of Variation | 1341.12 | |||
| Standard Deviation | 4.23 | |||
| Variance | 17.89 | |||
| Information Ratio | 0.0728 | |||
| Jensen Alpha | 0.3104 | |||
| Total Risk Alpha | 0.3177 | |||
| Sortino Ratio | 0.081 | |||
| Treynor Ratio | 0.1517 | |||
| Maximum Drawdown | 24.5 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 6.47 | |||
| Downside Variance | 14.46 | |||
| Semi Variance | 12.32 | |||
| Expected Short fall | (3.04) | |||
| Skewness | 1.34 | |||
| Kurtosis | 6.98 |
Service Properties March 27, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Service stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | (2.33) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 2.69 | ||
| Day Typical Price | 2.69 | ||
| Price Action Indicator | (0.02) | ||
| Market Facilitation Index | 0.03 |
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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