CBRE Group (Germany) Technical Analysis
| RF6 Stock | EUR 132.00 2.00 1.54% |
As of the 27th of February, CBRE Group shows the Semi Deviation of 1.81, mean deviation of 1.38, and Coefficient Of Variation of 10362.78. Concerning fundamental indicators, the technical analysis model gives you tools to check possible technical drivers of CBRE Group, as well as the relationship between them. Please confirm CBRE Group Class maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk to decide if CBRE Group Class is priced adequately, providing market reflects its regular price of 132.0 per share.
CBRE Group Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CBRE, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CBRECBRE |
CBRE Group 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.
CBRE Group Class 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 CBRE Group Class volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CBRE Group Class Trend Analysis
Use this graph to draw trend lines for CBRE Group Class. You can use it to identify possible trend reversals for CBRE Group 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 CBRE Group price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.CBRE Group Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CBRE Group Class applied against its price change over selected period. The best fit line has a slop of 0.16 , which means CBRE Group Class will continue generating value for investors. It has 122 observation points and a regression sum of squares at 931.68, which is the sum of squared deviations for the predicted CBRE Group price change compared to its average price change.About CBRE Group 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 CBRE Group Class 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 CBRE Group Class based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CBRE Group Class price pattern first instead of the macroeconomic environment surrounding CBRE Group Class. By analyzing CBRE Group'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 CBRE Group'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 CBRE Group specific price patterns or momentum indicators. Please read more on our technical analysis page.
CBRE Group February 27, 2025 Technical Indicators
Most technical analysis of CBRE 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 CBRE from various momentum indicators to cycle indicators. When you analyze CBRE 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 | 0.0133 | |||
| Market Risk Adjusted Performance | 0.0234 | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.81 | |||
| Downside Deviation | 2.46 | |||
| Coefficient Of Variation | 10362.78 | |||
| Standard Deviation | 1.96 | |||
| Variance | 3.84 | |||
| Information Ratio | 0.0078 | |||
| Jensen Alpha | 0.0132 | |||
| Total Risk Alpha | 0.0261 | |||
| Sortino Ratio | 0.0062 | |||
| Treynor Ratio | 0.0134 | |||
| Maximum Drawdown | 9.4 | |||
| Value At Risk | (3.47) | |||
| Potential Upside | 3.82 | |||
| Downside Variance | 6.06 | |||
| Semi Variance | 3.27 | |||
| Expected Short fall | (1.74) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.7098 |
Complementary Tools for CBRE Stock analysis
When running CBRE Group's price analysis, check to measure CBRE Group'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 CBRE Group is operating at the current time. Most of CBRE Group's value examination focuses on studying past and present price action to predict the probability of CBRE Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CBRE Group's price. Additionally, you may evaluate how the addition of CBRE Group to your portfolios can decrease your overall portfolio volatility.
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