CME (Germany) Technical Analysis
| MX4A Stock | EUR 228.75 0.05 0.02% |
As of the 26th of December, CME shows the Risk Adjusted Performance of 0.1875, downside deviation of 1.15, and Mean Deviation of 0.883. Concerning fundamental indicators, the technical analysis model gives you tools to check possible technical drivers of CME, as well as the relationship between them. Please confirm CME Group downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if CME Group is priced adequately, providing market reflects its regular price of 228.75 per share.
CME Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CME, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CMECME |
CME 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.
CME Group Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 CME Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CME Group Trend Analysis
Use this graph to draw trend lines for CME Group. You can use it to identify possible trend reversals for CME 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 CME price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.CME Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CME Group applied against its price change over selected period. The best fit line has a slop of 0.53 , which means CME Group will continue generating value for investors. It has 122 observation points and a regression sum of squares at 10790.0, which is the sum of squared deviations for the predicted CME price change compared to its average price change.About CME 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 CME Group 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 CME Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CME Group price pattern first instead of the macroeconomic environment surrounding CME Group. By analyzing CME'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 CME'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 CME specific price patterns or momentum indicators. Please read more on our technical analysis page.
CME December 26, 2024 Technical Indicators
Most technical analysis of CME 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 CME from various momentum indicators to cycle indicators. When you analyze CME 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 | 0.1875 | |||
| Market Risk Adjusted Performance | 0.4931 | |||
| Mean Deviation | 0.883 | |||
| Semi Deviation | 0.8006 | |||
| Downside Deviation | 1.15 | |||
| Coefficient Of Variation | 435.3 | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.68 | |||
| Information Ratio | 0.1952 | |||
| Jensen Alpha | 0.2673 | |||
| Total Risk Alpha | 0.2316 | |||
| Sortino Ratio | 0.22 | |||
| Treynor Ratio | 0.4831 | |||
| Maximum Drawdown | 10.01 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 2.08 | |||
| Downside Variance | 1.32 | |||
| Semi Variance | 0.641 | |||
| Expected Short fall | (1.07) | |||
| Skewness | 0.3464 | |||
| Kurtosis | 5.36 |
Complementary Tools for CME Stock analysis
When running CME's price analysis, check to measure CME'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 CME is operating at the current time. Most of CME's value examination focuses on studying past and present price action to predict the probability of CME's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CME's price. Additionally, you may evaluate how the addition of CME to your portfolios can decrease your overall portfolio volatility.
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