Service Properties Trust Stock Volatility Indicators Average True Range
| SVC Stock | USD 2.92 0.15 5.42% |
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The output start index for this execution was one with a total number of output elements of sixty. 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 Technical Analysis Modules
Most technical analysis of Service Properties 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Service Properties Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Service Properties Trust. We use our internally-developed statistical techniques to arrive at the intrinsic value of Service Properties Trust based on widely used predictive technical indicators. In general, we focus on analyzing Service Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Service Properties's daily price indicators and compare them against related drivers, such as volatility indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Service Properties's intrinsic value. In addition to deriving basic predictive indicators for Service Properties, we also check how macroeconomic factors affect Service Properties price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.00456 | 0.0317 | 0.094 | 0.0905 | Price To Sales Ratio | 0.97 | 0.64 | 0.75 | 0.71 |
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.
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Service Properties Trust pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Service Properties position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Service Properties will appreciate offsetting losses from the drop in the long position's value.Service Properties Pair Trading
Service Properties Trust Pair Trading Analysis
The ability to find closely correlated positions to Service Properties could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Service Properties when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Service Properties - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Service Properties Trust to buy it.
The correlation of Service Properties is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Service Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Service Properties Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Service Properties can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Service Properties Trust. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in real. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Is Diversified REITs space expected to grow? Or is there an opportunity to expand the business' product line in the future? 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. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Service Properties listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.66) | Dividend Share 0.61 | Earnings Share (1.47) | Revenue Per Share 11.405 | Quarterly Revenue Growth (0.01) |
The market value of Service Properties Trust is measured differently than its book value, which is the value of Service that is recorded on the company's balance sheet. Investors also form their own opinion of Service Properties' value that differs from its market value or its book value, called intrinsic value, which is Service Properties' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Service Properties' market value can be influenced by many factors that don't directly affect Service Properties' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic 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. However, Service Properties' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.