Realty Income (Germany) Technical Analysis
| RY6 Stock | EUR 50.89 0.92 1.84% |
As of the 22nd of December, Realty Income holds the Risk Adjusted Performance of (0.05), coefficient of variation of (1,622), and Variance of 1.32. 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 variance, treynor ratio, and the relationship between the standard deviation and information ratio to decide if Realty Income is priced some-what accurately, providing market reflects its current price of 50.89 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 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 twenty with a total number of output elements of fourty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Realty Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Realty Income Trend Analysis
Use this graph to draw trend lines for Realty Income. You can use it to identify possible trend reversals for Realty Income as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Realty Income price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Realty Income Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Realty Income applied against its price change over selected period. The best fit line has a slop of 0.09 , which may suggest that Realty Income market price will keep on failing further. It has 122 observation points and a regression sum of squares at 296.75, which is the sum of squared deviations for the predicted Realty Income price change compared to its average price change.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 December 22, 2024 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 | (0.05) | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 0.8849 | |||
| Coefficient Of Variation | (1,622) | |||
| Standard Deviation | 1.15 | |||
| Variance | 1.32 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 5.55 | |||
| Value At Risk | (1.93) | |||
| Potential Upside | 1.76 | |||
| Skewness | 0.2552 | |||
| Kurtosis | 0.1628 |
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.
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