Realty Income Stock Math Transform Cosine Of Price Series

O Stock  USD 57.39  0.51  0.90%   
Realty Income math transform tool provides the execution environment for running the Cosine Of Price Series transformation and other technical functions against Realty Income. Realty Income 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 math transform indicators. As with most other technical indicators, the Cosine Of Price Series transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in Realty Income can be made when Realty Income shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Cosine Of Realty Income Price Series is a trigonometric function that describes price patterns.

Realty Income Technical Analysis Modules

Most technical analysis of Realty Income 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 Realty from various momentum indicators to cycle indicators. When you analyze Realty 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 Realty Income 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 Realty Income. We use our internally-developed statistical techniques to arrive at the intrinsic value of Realty Income based on widely used predictive technical indicators. In general, we focus on analyzing Realty Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Realty Income's daily price indicators and compare them against related drivers, such as math transform 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 Realty Income's intrinsic value. In addition to deriving basic predictive indicators for Realty Income, we also check how macroeconomic factors affect Realty Income 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 Yield0.03940.04670.05310.0743
Price To Sales Ratio14.2611.619.757.69
Hype
Prediction
LowEstimatedHigh
56.3957.4458.49
Details
Intrinsic
Valuation
LowRealHigh
56.8157.8658.91
Details
Naive
Forecast
LowNextHigh
58.0259.0760.12
Details
21 Analysts
Consensus
LowTargetHigh
57.6663.3670.33
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Realty Income in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Realty Income's short interest history, or implied volatility extrapolated from Realty Income options trading.

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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Realty Income. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons.
To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.
You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Is Retail 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 Realty Income. If investors know Realty 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 Realty Income 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
(0.09)
Dividend Share
3.111
Earnings Share
1.05
Revenue Per Share
6.077
Quarterly Revenue Growth
0.286
The market value of Realty Income is measured differently than its book value, which is the value of Realty that is recorded on the company's balance sheet. Investors also form their own opinion of Realty Income's value that differs from its market value or its book value, called intrinsic value, which is Realty Income's 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 Realty Income's market value can be influenced by many factors that don't directly affect Realty Income's 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 Realty Income's value and its price as these two are different measures arrived at by different means. Investors typically determine if Realty Income is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Realty Income's 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.