Ltc Properties Stock Overlap Studies MESA Adaptive Moving Average
| LTC Stock | USD 38.59 0.11 0.28% |
| Symbol |
The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The MESA Adaptive Moving Average indicator adapts to LTC Properties price movement based on the rate change of phase as measured by the Hilbert Transform Discriminator.
LTC Properties Technical Analysis Modules
Most technical analysis of LTC 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 LTC from various momentum indicators to cycle indicators. When you analyze LTC 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About LTC 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 LTC Properties. We use our internally-developed statistical techniques to arrive at the intrinsic value of LTC Properties based on widely used predictive technical indicators. In general, we focus on analyzing LTC Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build LTC Properties'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 LTC Properties's intrinsic value. In addition to deriving basic predictive indicators for LTC Properties, we also check how macroeconomic factors affect LTC 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 | 0.0677 | 0.0646 | 0.0715 | 0.13 | Price To Sales Ratio | 8.61 | 8.09 | 6.72 | 6.38 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of LTC 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.
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.Did you try this?
Run Odds Of Bankruptcy Now
Odds Of BankruptcyGet analysis of equity chance of financial distress in the next 2 years |
| All Next | Launch Module |
LTC Properties 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 LTC 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 LTC Properties will appreciate offsetting losses from the drop in the long position's value.LTC Properties Pair Trading
LTC Properties Pair Trading Analysis
The ability to find closely correlated positions to LTC 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 LTC 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 LTC 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 LTC Properties to buy it.
The correlation of LTC 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 LTC Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if LTC Properties 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 LTC 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 Correlation Analysis to better understand how to build diversified portfolios, which includes a position in LTC Properties. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate. For information on how to trade LTC Stock refer to our How to Trade LTC Stock guide.You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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 LTC Properties. If investors know LTC 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 LTC 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 0.232 | Dividend Share 2.28 | Earnings Share 2.33 | Revenue Per Share 4.631 | Quarterly Revenue Growth 0.055 |
The market value of LTC Properties is measured differently than its book value, which is the value of LTC that is recorded on the company's balance sheet. Investors also form their own opinion of LTC Properties' value that differs from its market value or its book value, called intrinsic value, which is LTC 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 LTC Properties' market value can be influenced by many factors that don't directly affect LTC 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 LTC Properties' value and its price as these two are different measures arrived at by different means. Investors typically determine if LTC Properties is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, LTC 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.