CME (Germany) Technical Analysis
| MX4A Stock | EUR 255.35 0.10 0.04% |
As of the 17th of February 2026, CME shows the Downside Deviation of 1.2, mean deviation of 0.8374, and Risk Adjusted Performance of 0.0847. 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 255.35 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to CME's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of CME.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in CME on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding CME Group or generate 0.0% return on investment in CME over 90 days. CME is related to or competes with Smurfit Kappa, Smurfit Kappa, HPQ SILICON, METTLER TOLEDO, METTLER TOLEDO, Mettler-Toledo International, and CLABO SPA. CME Group Inc., through its subsidiaries, operates contract markets for the trading of futures and options on futures co... More
CME Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure CME's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess CME Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.2 | |||
| Information Ratio | 0.037 | |||
| Maximum Drawdown | 4.05 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 1.46 |
CME Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CME's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CME's standard deviation. In reality, there are many statistical measures that can use CME historical prices to predict the future CME's volatility.| Risk Adjusted Performance | 0.0847 | |||
| Jensen Alpha | 0.1058 | |||
| Total Risk Alpha | 0.0197 | |||
| Sortino Ratio | 0.0331 | |||
| Treynor Ratio | (1.01) |
CME February 17, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0847 | |||
| Market Risk Adjusted Performance | (1.00) | |||
| Mean Deviation | 0.8374 | |||
| Semi Deviation | 1.03 | |||
| Downside Deviation | 1.2 | |||
| Coefficient Of Variation | 981.95 | |||
| Standard Deviation | 1.08 | |||
| Variance | 1.16 | |||
| Information Ratio | 0.037 | |||
| Jensen Alpha | 0.1058 | |||
| Total Risk Alpha | 0.0197 | |||
| Sortino Ratio | 0.0331 | |||
| Treynor Ratio | (1.01) | |||
| Maximum Drawdown | 4.05 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 1.46 | |||
| Downside Variance | 1.45 | |||
| Semi Variance | 1.06 | |||
| Expected Short fall | (0.81) | |||
| Skewness | (0.31) | |||
| Kurtosis | (0.28) |
CME Group Backtested Returns
At this point, CME is very steady. CME Group secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for CME Group, which you can use to evaluate the volatility of the firm. Please confirm CME's Downside Deviation of 1.2, risk adjusted performance of 0.0847, and Mean Deviation of 0.8374 to double-check if the risk estimate we provide is consistent with the expected return of 0.14%. CME has a performance score of 10 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.099, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CME are expected to decrease at a much lower rate. During the bear market, CME is likely to outperform the market. CME Group at this time shows a risk of 1.05%. Please confirm CME Group downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if CME Group will be following its price patterns.
Auto-correlation | -0.5 |
Modest reverse predictability
CME Group has modest reverse predictability. Overlapping area represents the amount of predictability between CME time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CME Group price movement. The serial correlation of -0.5 indicates that about 50.0% of current CME price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 89.27 |
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
The output start index for this execution was one with a total number of output elements of sixty. 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.
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 February 17, 2026 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 | 0.0847 | |||
| Market Risk Adjusted Performance | (1.00) | |||
| Mean Deviation | 0.8374 | |||
| Semi Deviation | 1.03 | |||
| Downside Deviation | 1.2 | |||
| Coefficient Of Variation | 981.95 | |||
| Standard Deviation | 1.08 | |||
| Variance | 1.16 | |||
| Information Ratio | 0.037 | |||
| Jensen Alpha | 0.1058 | |||
| Total Risk Alpha | 0.0197 | |||
| Sortino Ratio | 0.0331 | |||
| Treynor Ratio | (1.01) | |||
| Maximum Drawdown | 4.05 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 1.46 | |||
| Downside Variance | 1.45 | |||
| Semi Variance | 1.06 | |||
| Expected Short fall | (0.81) | |||
| Skewness | (0.31) | |||
| Kurtosis | (0.28) |
CME February 17, 2026 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 CME 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 | 0.00 | ||
| Daily Balance Of Power | 0.25 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 255.15 | ||
| Day Typical Price | 255.22 | ||
| Price Action Indicator | 0.25 | ||
| Market Facilitation Index | 0.40 |
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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