Realty Income (Germany) Technical Analysis
| RY6 Stock | EUR 55.27 0.24 0.43% |
As of the 16th of February 2026, Realty Income holds the Coefficient Of Variation of 503.27, semi deviation of 0.7678, and Risk Adjusted Performance of 0.1627. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Realty Income, as well as the relationship between them. Please check Realty Income coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if Realty Income is priced some-what accurately, providing market reflects its current price of 55.27 per share.
Realty Income Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Realty, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RealtyRealty |
Realty Income 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Realty Income's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Realty Income.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Realty Income on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Realty Income or generate 0.0% return on investment in Realty Income over 90 days. Realty Income is related to or competes with HASEN-IMMOBILIEN, Yancoal Australia, Sinopec Shanghai, First Majestic, AP Mller, Kendrion, and Nippon Carbon. Realty Income, The Monthly Dividend Company, is an SP 500 company dedicated to providing stockholders with dependable mo... More
Realty Income Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Realty Income's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Realty Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9766 | |||
| Information Ratio | 0.1326 | |||
| Maximum Drawdown | 3.95 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 1.83 |
Realty Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Realty Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Realty Income's standard deviation. In reality, there are many statistical measures that can use Realty Income historical prices to predict the future Realty Income's volatility.| Risk Adjusted Performance | 0.1627 | |||
| Jensen Alpha | 0.2231 | |||
| Total Risk Alpha | 0.1217 | |||
| Sortino Ratio | 0.1437 | |||
| Treynor Ratio | (0.53) |
Realty Income February 16, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1627 | |||
| Market Risk Adjusted Performance | (0.52) | |||
| Mean Deviation | 0.8918 | |||
| Semi Deviation | 0.7678 | |||
| Downside Deviation | 0.9766 | |||
| Coefficient Of Variation | 503.27 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.12 | |||
| Information Ratio | 0.1326 | |||
| Jensen Alpha | 0.2231 | |||
| Total Risk Alpha | 0.1217 | |||
| Sortino Ratio | 0.1437 | |||
| Treynor Ratio | (0.53) | |||
| Maximum Drawdown | 3.95 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 1.83 | |||
| Downside Variance | 0.9537 | |||
| Semi Variance | 0.5895 | |||
| Expected Short fall | (1.02) | |||
| Skewness | (0.06) | |||
| Kurtosis | (0.86) |
Realty Income Backtested Returns
Realty Income appears to be very steady, given 3 months investment horizon. Realty Income maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the firm had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Realty Income, which you can use to evaluate the volatility of the company. Please evaluate Realty Income's Risk Adjusted Performance of 0.1627, coefficient of variation of 503.27, and Semi Deviation of 0.7678 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Realty Income holds a performance score of 15. The company holds a Beta of -0.38, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Realty Income are expected to decrease at a much lower rate. During the bear market, Realty Income is likely to outperform the market. Please check Realty Income's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to make a quick decision on whether Realty Income's historical price patterns will revert.
Auto-correlation | -0.23 |
Weak reverse predictability
Realty Income has weak reverse predictability. Overlapping area represents the amount of predictability between Realty Income time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Realty Income price movement. The serial correlation of -0.23 indicates that over 23.0% of current Realty Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 2.3 |
Realty Income technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Realty Income Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Realty Income across different markets.
About Realty Income Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Realty Income on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Realty Income based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Realty Income price pattern first instead of the macroeconomic environment surrounding Realty Income. By analyzing Realty Income's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Realty Income's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Realty Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Realty Income February 16, 2026 Technical Indicators
Most technical analysis of Realty 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 different 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 |
| Risk Adjusted Performance | 0.1627 | |||
| Market Risk Adjusted Performance | (0.52) | |||
| Mean Deviation | 0.8918 | |||
| Semi Deviation | 0.7678 | |||
| Downside Deviation | 0.9766 | |||
| Coefficient Of Variation | 503.27 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.12 | |||
| Information Ratio | 0.1326 | |||
| Jensen Alpha | 0.2231 | |||
| Total Risk Alpha | 0.1217 | |||
| Sortino Ratio | 0.1437 | |||
| Treynor Ratio | (0.53) | |||
| Maximum Drawdown | 3.95 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 1.83 | |||
| Downside Variance | 0.9537 | |||
| Semi Variance | 0.5895 | |||
| Expected Short fall | (1.02) | |||
| Skewness | (0.06) | |||
| Kurtosis | (0.86) |
Realty Income February 16, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Realty stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | (0.27) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 54.94 | ||
| Day Typical Price | 55.05 | ||
| Price Action Indicator | 0.22 | ||
| Market Facilitation Index | 0.89 |
Complementary Tools for Realty Stock analysis
When running Realty Income's price analysis, check to measure Realty Income'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 Realty Income is operating at the current time. Most of Realty Income's value examination focuses on studying past and present price action to predict the probability of Realty Income's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Realty Income's price. Additionally, you may evaluate how the addition of Realty Income to your portfolios can decrease your overall portfolio volatility.
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas |