The Real Estate Etf Technical Analysis
| XLRE Etf | USD 44.68 0.59 1.34% |
As of the 25th of November, Real Estate holds the Coefficient Of Variation of 1326.31, semi deviation of 0.8776, and Market Risk Adjusted Performance of 1.16. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Real Estate, as well as the relationship between them. Please check Real Estate downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Real Estate is priced some-what accurately, providing market reflects its current price of 44.68 per share.
Real Estate Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Real, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RealReal |
Real Estate technical etf 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, etf market cycles, or different charting patterns.
Real Estate Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Real Estate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Real Estate Trend Analysis
Use this graph to draw trend lines for The Real Estate. You can use it to identify possible trend reversals for Real Estate 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 Real Estate price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Real Estate Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The Real Estate applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that The Real Estate market price will keep on failing further. It has 122 observation points and a regression sum of squares at 6.54, which is the sum of squared deviations for the predicted Real Estate price change compared to its average price change.About Real Estate 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 The Real Estate 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 The Real Estate based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Real Estate price pattern first instead of the macroeconomic environment surrounding Real Estate. By analyzing Real Estate'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 Real Estate'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 Real Estate specific price patterns or momentum indicators. Please read more on our technical analysis page.
Real Estate November 25, 2024 Technical Indicators
Most technical analysis of Real 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 Real from various momentum indicators to cycle indicators. When you analyze Real 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 | 0.0594 | |||
| Market Risk Adjusted Performance | 1.16 | |||
| Mean Deviation | 0.7167 | |||
| Semi Deviation | 0.8776 | |||
| Downside Deviation | 0.9827 | |||
| Coefficient Of Variation | 1326.31 | |||
| Standard Deviation | 0.9112 | |||
| Variance | 0.8304 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | 0.0525 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 1.15 | |||
| Maximum Drawdown | 4.61 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.37 | |||
| Downside Variance | 0.9657 | |||
| Semi Variance | 0.7702 | |||
| Expected Short fall | (0.74) | |||
| Skewness | (0.38) | |||
| Kurtosis | 0.3853 |
Real Estate One Year Return
Based on the recorded statements, The Real Estate has an One Year Return of 26.1%. This is 236.34% higher than that of the SPDR State Street Global Advisors family and significantly higher than that of the Real Estate category. The one year return for all United States etfs is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Real Estate November 25, 2024 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 Real 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 | 57,722 | ||
| Daily Balance Of Power | 1.05 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 44.60 | ||
| Day Typical Price | 44.63 | ||
| Price Action Indicator | 0.37 |
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in The Real Estate. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
The market value of Real Estate is measured differently than its book value, which is the value of Real that is recorded on the company's balance sheet. Investors also form their own opinion of Real Estate's value that differs from its market value or its book value, called intrinsic value, which is Real Estate'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 Real Estate's market value can be influenced by many factors that don't directly affect Real Estate'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 Real Estate's value and its price as these two are different measures arrived at by different means. Investors typically determine if Real Estate is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Real Estate'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.