Real Estate (Brazil) Technical Analysis
| NCHB11 Fund | BRL 7.59 0.28 3.83% |
As of the 14th of December 2024, Real Estate holds the Variance of 1.37, coefficient of variation of (409.40), and Risk Adjusted Performance of (0.17). Our technical analysis interface allows you to check existing technical drivers of Real Estate Investment, as well as the relationship between them.
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 fund 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, fund market cycles, or different charting patterns.
Real Estate Investment Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-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 Real Estate Investment volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Real Estate Investment Trend Analysis
Use this graph to draw trend lines for Real Estate Investment. 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 Real Estate Investment applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Real Estate Investment market price will keep on failing further. It has 122 observation points and a regression sum of squares at 11.68, 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 Real Estate Investment 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 Real Estate Investment based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on Real Estate Investment price pattern first instead of the macroeconomic environment surrounding Real Estate Investment. 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 December 14, 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 | (0.17) | |||
| Market Risk Adjusted Performance | 2.22 | |||
| Mean Deviation | 0.8458 | |||
| Coefficient Of Variation | (409.40) | |||
| Standard Deviation | 1.17 | |||
| Variance | 1.37 | |||
| Information Ratio | (0.33) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | 2.21 | |||
| Maximum Drawdown | 6.69 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.54 | |||
| Skewness | (0.72) | |||
| Kurtosis | 2.0 |
Other Information on Investing in Real Fund
Real Estate financial ratios help investors to determine whether Real Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Real with respect to the benefits of owning Real Estate security.
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