Realty Income Stock Forward View
| O Stock | USD 61.44 0.91 1.50% |
Realty Stock outlook is based on your current time horizon. Although Realty Income's naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of Realty Income's systematic risk associated with finding meaningful patterns of Realty Income fundamentals over time.
The relative strength index (RSI) of Realty Income's stock price is about 63. This indicates that the stock is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Realty, making its price go up or down. Momentum 63
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.152 | EPS Estimate Next Quarter 0.4171 | EPS Estimate Current Year 1.3544 | EPS Estimate Next Year 1.5997 | Wall Street Target Price 64.3125 |
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 57.9187 | Short Percent 0.0467 | Short Ratio 4.87 | Shares Short Prior Month 45.7 M | 50 Day MA 58.1702 |
Realty Relative Strength Index
The Naive Prediction forecasted value of Realty Income on the next trading day is expected to be 59.45 with a mean absolute deviation of 0.50 and the sum of the absolute errors of 30.58.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 | 0.38 |
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 Naive Prediction forecasted value of Realty Income on the next trading day is expected to be 59.45 with a mean absolute deviation of 0.50 and the sum of the absolute errors of 30.58. Realty Income after-hype prediction price | USD 61.13 |
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.
Check out Historical Fundamental Analysis of Realty Income to cross-verify your projections. 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 0.0238% per day over the life of the 2026-03-20 option contract. With Realty Income trading at USD 61.44, that is roughly USD 0.0146 . 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 0.38%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 Realty Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Realty Income's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Realty Income's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Realty Income stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Realty Income's open interest, investors have to compare it to Realty Income's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Realty Income is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Realty. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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 |
Realty Income Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Realty Income's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 1994-12-31 | Previous Quarter 800.4 M | Current Value 417.2 M | Quarterly Volatility 167.2 M |
Realty Income Naive Prediction Price Forecast For the 4th of February
Given 90 days horizon, the Naive Prediction forecasted value of Realty Income on the next trading day is expected to be 59.45 with a mean absolute deviation of 0.50, mean absolute percentage error of 0.39, and the sum of the absolute errors of 30.58.Please note that although there have been many attempts to predict Realty Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Realty Income's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Realty Income Stock Forecast Pattern
| Backtest Realty Income | Realty Income Price Prediction | Research Analysis |
Realty Income Forecasted Value
In the context of forecasting Realty Income's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Realty Income's downside and upside margins for the forecasting period are 58.54 and 60.36, respectively. We have considered Realty Income's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Realty Income stock data series using in forecasting. Note that when a statistical model is used to represent Realty Income stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 117.1644 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.5014 |
| MAPE | Mean absolute percentage error | 0.0086 |
| SAE | Sum of the absolute errors | 30.5829 |
Predictive Modules for Realty Income
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Realty Income. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 60.22 and 62.04, 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 compare with 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 |
0.15 | 0.91 | 0.03 | 0.01 | 11 Events / Month | 10 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
61.44 | 61.13 | 0.05 |
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Realty Income Hype Timeline
As of February 3, 2026 Realty Income is listed for 61.44. The entity has historical hype elasticity of -0.03, and average elasticity to hype of competition of 0.01. Realty is estimated to decline in value after the next headline, with the price expected to drop to 61.13. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -0.05%, whereas the daily expected return is now at 0.15%. The volatility of related hype on Realty Income is about 1820.0%, with the expected price after the next announcement by competition of 61.45. About 80.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.4. 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 11 days. Check out Historical Fundamental Analysis of Realty Income 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.
Other Forecasting Options for Realty Income
For every potential investor in Realty, whether a beginner or expert, Realty Income's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Realty Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Realty. Basic forecasting techniques help filter out the noise by identifying Realty Income's price trends.Realty Income Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Realty Income stock to make a market-neutral strategy. Peer analysis of Realty Income could also be used in its relative valuation, which is a method of valuing Realty Income by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Realty Income Market Strength Events
Market strength indicators help investors to evaluate how Realty Income stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Realty Income shares will generate the highest return on investment. By undertsting and applying Realty Income stock market strength indicators, traders can identify Realty Income entry and exit signals to maximize returns.
Realty Income Risk Indicators
The analysis of Realty Income's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Realty Income's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting realty stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.8023 | |||
| Semi Deviation | 1.11 | |||
| Standard Deviation | 1.01 | |||
| Variance | 1.01 | |||
| Downside Variance | 1.39 | |||
| Semi Variance | 1.22 | |||
| Expected Short fall | (0.76) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Realty Income
The number of cover stories for Realty Income depends on current market conditions and Realty Income's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Realty Income is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Realty Income's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Realty Income Short Properties
Realty Income's future price predictability will typically decrease when Realty Income's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Realty Income often depends not only on the future outlook of the potential Realty Income's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Realty Income's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 876.8 M | |
| Cash And Short Term Investments | 445 M |
Check out Historical Fundamental Analysis of Realty Income 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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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 1.08 | 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.