Service Properties Trust Stock Technical Analysis
| SVC Stock | USD 1.99 0.01 0.51% |
As of the 1st of February, Service Properties has the Risk Adjusted Performance of (0.04), coefficient of variation of (1,549), and Variance of 9.92. 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 Properties' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Service Properties Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 2.5 | Buy | 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.
Will Diversified REITs sector continue expanding? Could Service diversify its offerings? Factors like these will boost the valuation of Service Properties. If investors know Service will grow in the future, the company's valuation will be higher. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Service Properties data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.66) | Dividend Share 0.04 | Earnings Share (1.68) | Revenue Per Share | Quarterly Revenue Growth (0.03) |
Understanding Service Properties Trust requires distinguishing between market price and book value, where the latter reflects Service's accounting equity. The concept of intrinsic value—what Service Properties' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Service Properties' price substantially above or below its fundamental value.
Please note, there is a significant difference between Service Properties' value and its price as these two are different measures arrived at by different means. Investors typically determine if Service Properties is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Service Properties' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Service Properties 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Service Properties' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Service Properties.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Service Properties on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Service Properties Trust or generate 0.0% return on investment in Service Properties over 90 days. Service Properties is related to or competes with Industrial Logistics, Peakstone Realty, Net Lease, Community Healthcare, Nexpoint Real, Chatham Lodging, and Claros Mortgage. Service Properties Trust is a real estate investment trust, or REIT, which owns a diverse portfolio of hotels and net le... More
Service Properties Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Service Properties' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Service Properties Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 17.24 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 5.52 |
Service Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Service Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Service Properties' standard deviation. In reality, there are many statistical measures that can use Service Properties historical prices to predict the future Service Properties' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 54.69 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Service Properties' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Service Properties February 1, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | 54.7 | |||
| Mean Deviation | 2.4 | |||
| Coefficient Of Variation | (1,549) | |||
| Standard Deviation | 3.15 | |||
| Variance | 9.92 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 54.69 | |||
| Maximum Drawdown | 17.24 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 5.52 | |||
| Skewness | 0.6706 | |||
| Kurtosis | 1.28 |
Service Properties Trust Backtested Returns
Service Properties Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the firm had a close to zero % return per unit of risk over the last 3 months. Service Properties Trust exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Service Properties' Risk Adjusted Performance of (0.04), variance of 9.92, and Coefficient Of Variation of (1,549) to confirm the risk estimate we provide. The entity has a beta of -0.0039, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Service Properties are expected to decrease at a much lower rate. During the bear market, Service Properties is likely to outperform the market. At this point, Service Properties Trust has a negative expected return of -0.0143%. Please make sure to validate Service Properties' maximum drawdown, accumulation distribution, as well as the relationship between the Accumulation Distribution and market facilitation index , to decide if Service Properties Trust performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.55 |
Good reverse predictability
Service Properties Trust has good reverse predictability. Overlapping area represents the amount of predictability between Service Properties time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Service Properties Trust price movement. The serial correlation of -0.55 indicates that about 55.0% of current Service Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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 twenty-four with a total number of output elements of thirty-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.
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.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.094 | 0.24 | 0.22 | 0.23 | Price To Sales Ratio | 0.75 | 0.22 | 0.25 | 0.24 |
Service Properties February 1, 2026 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 | (0.04) | |||
| Market Risk Adjusted Performance | 54.7 | |||
| Mean Deviation | 2.4 | |||
| Coefficient Of Variation | (1,549) | |||
| Standard Deviation | 3.15 | |||
| Variance | 9.92 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 54.69 | |||
| Maximum Drawdown | 17.24 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 5.52 | |||
| Skewness | 0.6706 | |||
| Kurtosis | 1.28 |
Service Properties February 1, 2026 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 | 0.03 | ||
| Daily Balance Of Power | 0.17 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1.99 | ||
| Day Typical Price | 1.99 | ||
| Price Action Indicator | 0.01 | ||
| Market Facilitation Index | 0.06 |
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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