Realty Income Stock Price Patterns
| O Stock | USD 61.16 0.38 0.63% |
Momentum 72
Buy Stretched
Oversold | Overbought |
Quarterly Earnings Growth 0.152 | EPS Estimate Next Quarter 0.4171 | EPS Estimate Current Year 1.3544 | EPS Estimate Next Year 1.5988 | Wall Street Target Price 63.7738 |
Using Realty Income hype-based prediction, you can estimate the value of Realty Income from the perspective of Realty Income response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Realty Income using Realty Income's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Realty using crowd psychology based on the activity and movement of Realty Income's stock price.
Realty Income Short Interest
An investor who is long Realty Income may also wish to track short interest. As short interest increases, investors should be becoming more worried about Realty Income and may potentially protect profits, hedge Realty Income with its derivative instruments, or be ready for some potential downside.
200 Day MA 57.8942 | Short Percent 0.0467 | Short Ratio 4.87 | Shares Short Prior Month 45.7 M | 50 Day MA 58.087 |
Realty Income Hype to Price Pattern
Investor biases related to Realty Income's public news can be used to forecast risks associated with an investment in Realty. The trend in average sentiment can be used to explain how an investor holding Realty can time the market purely based on public headlines and social activities around Realty Income. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Realty Income's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Realty Income.
Realty Income Implied Volatility | 0.4 |
Realty Income's implied volatility exposes the market's sentiment of Realty Income stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Realty Income's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Realty Income stock will not fluctuate a lot when Realty Income's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Realty Income to buy its stock at a price that has no basis in reality. In that case, they are not buying Realty because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Realty Income after-hype prediction price | USD 61.16 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Realty contract
Based on the Rule 16, the options market is currently suggesting that Realty Income will have an average daily up or down price movement of about 0.025% per day over the life of the 2026-03-20 option contract. With Realty Income trading at USD 61.16, that is roughly USD 0.0153 . If you think that the market is fully incorporating Realty Income's daily price movement you should consider acquiring Realty Income options at the current volatility level of 0.4%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Realty Income Basic Forecasting Models to cross-verify your projections. Realty Income After-Hype Price Density Analysis
As far as predicting the price of Realty Income at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Realty Income or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Realty Income, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Realty Income Estimiated After-Hype Price Volatility
In the context of predicting Realty Income's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Realty Income's historical news coverage. Realty Income's after-hype downside and upside margins for the prediction period are 60.16 and 62.16, respectively. We have considered Realty Income's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Realty Income is very steady at this time. Analysis and calculation of next after-hype price of Realty Income is based on 3 months time horizon.
Realty Income Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Realty Income is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Realty Income backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Realty Income, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.11 | 1.00 | 0.00 | 0.02 | 9 Events / Month | 11 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
61.16 | 61.16 | 0.00 |
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Realty Income Hype Timeline
As of January 31, 2026 Realty Income is listed for 61.16. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.02. Realty is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is now at 0.11%. %. The volatility of related hype on Realty Income is about 549.02%, with the expected price after the next announcement by competition of 61.18. About 80.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.43. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Realty Income last dividend was issued on the 30th of January 2026. The entity had 1032:1000 split on the 15th of November 2021. Taking into account the 90-day investment horizon the next estimated press release will be in about 9 days. Check out Realty Income Basic Forecasting Models to cross-verify your projections.Realty Income Related Hype Analysis
Having access to credible news sources related to Realty Income's direct competition is more important than ever and may enhance your ability to predict Realty Income's future price movements. Getting to know how Realty Income's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Realty Income may potentially react to the hype associated with one of its peers.
Realty Income Additional Predictive Modules
Most predictive techniques to examine Realty price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Realty using various technical 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Realty Income Predictive Indicators
The successful prediction of Realty Income stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Realty Income, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Realty Income based on analysis of Realty Income hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Realty Income's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Realty Income's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0531 | 0.0579 | 0.0666 | 0.0743 | Price To Sales Ratio | 9.75 | 8.85 | 7.96 | 7.8 |
Pair Trading with Realty Income
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 Realty Income 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 Realty Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Realty Stock
Moving against Realty Stock
| 0.54 | BRK-A | Berkshire Hathaway | PairCorr |
| 0.33 | OPINL | Office Properties Income | PairCorr |
| 0.33 | VLCN | VLCN Old Symbol Change | PairCorr |
The ability to find closely correlated positions to Realty Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Realty Income 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 Realty Income - 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 Realty Income to buy it.
The correlation of Realty Income 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 Realty Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Realty Income 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 Realty Income 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 Realty Income Basic Forecasting Models to cross-verify your projections. To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Will Retail REITs sector continue expanding? Could Realty diversify its offerings? Factors like these will boost the valuation of Realty Income. Anticipated expansion of Realty directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Realty Income data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.152 | Dividend Share 3.205 | Earnings Share 1.07 | Revenue Per Share | Quarterly Revenue Growth 0.103 |
Investors evaluate Realty Income using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Realty Income's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Realty Income's market price to deviate significantly from intrinsic value.
It's important to distinguish between Realty Income's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Realty Income should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Realty Income's market price signifies the transaction level at which participants voluntarily complete trades.