Community Healthcare Trust Stock Overlap Studies Simple Moving Average

CHCT Stock  USD 18.90  0.11  0.59%   
Community Healthcare overlap studies tool provides the execution environment for running the Simple Moving Average study and other technical functions against Community Healthcare. Community Healthcare value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Simple Moving Average study function is designed to identify and follow existing trends. Community Healthcare overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Simple Moving Average indicator is calculated by adding the closing price of Community Healthcare for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Community Healthcare short-term fluctuations and highlight longer-term trends or cycles.

Community Healthcare Technical Analysis Modules

Most technical analysis of Community Healthcare 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 Community from various momentum indicators to cycle indicators. When you analyze Community 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.

About Community Healthcare 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 Community Healthcare Trust. We use our internally-developed statistical techniques to arrive at the intrinsic value of Community Healthcare Trust based on widely used predictive technical indicators. In general, we focus on analyzing Community Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Community Healthcare's daily price indicators and compare them against related drivers, such as overlap studies 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 Community Healthcare's intrinsic value. In addition to deriving basic predictive indicators for Community Healthcare, we also check how macroeconomic factors affect Community Healthcare 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 Yield0.03860.05260.07160.0575
Price To Sales Ratio12.148.665.958.17
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Community Healthcare's 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.
Hype
Prediction
LowEstimatedHigh
16.5318.9121.29
Details
Intrinsic
Valuation
LowRealHigh
17.0124.0326.41
Details
Naive
Forecast
LowNextHigh
16.1318.5120.89
Details
5 Analysts
Consensus
LowTargetHigh
36.5540.1744.59
Details

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Community Healthcare 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 Community Healthcare 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 Community Healthcare will appreciate offsetting losses from the drop in the long position's value.

Community Healthcare Pair Trading

Community Healthcare Trust Pair Trading Analysis

The ability to find closely correlated positions to Community Healthcare could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Community Healthcare 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 Community Healthcare - 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 Community Healthcare Trust to buy it.
The correlation of Community Healthcare 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 Community Healthcare moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Community Healthcare 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 Community Healthcare 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.
Pair CorrelationCorrelation Matching

Additional Tools for Community Stock Analysis

When running Community Healthcare's price analysis, check to measure Community Healthcare'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 Community Healthcare is operating at the current time. Most of Community Healthcare's value examination focuses on studying past and present price action to predict the probability of Community Healthcare's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Community Healthcare's price. Additionally, you may evaluate how the addition of Community Healthcare to your portfolios can decrease your overall portfolio volatility.