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CME vs MATH
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is CME is a Hold and MATH is a StrongBuy.
| CME | MATH | CME / MATH | |
| Capitalization | 99.1B | 41.3M | 239,952% |
| EBITDA | 6.1B | N/A | - |
| Gain YTD | 2.317 | -59.338 | -4% |
| P/E Ratio | 23.37 | 43.81 | 53% |
| Revenue | 6.77B | N/A | - |
| Total Cash | N/A | N/A | - |
| Total Debt | 3.42B | N/A | - |
CME | MATH | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 76 | 40 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 60 Fair valued | 83 Overvalued | |
PROFIT vs RISK RATING 1..100 | 48 | 100 | |
SMR RATING 1..100 | 54 | 100 | |
PRICE GROWTH RATING 1..100 | 50 | 64 | |
P/E GROWTH RATING 1..100 | 51 | 3 | |
SEASONALITY SCORE 1..100 | 50 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
CME's Valuation (60) in the Investment Banks Or Brokers industry is in the same range as MATH (83) in the null industry. This means that CME’s stock grew similarly to MATH’s over the last 12 months.
CME's Profit vs Risk Rating (48) in the Investment Banks Or Brokers industry is somewhat better than the same rating for MATH (100) in the null industry. This means that CME’s stock grew somewhat faster than MATH’s over the last 12 months.
CME's SMR Rating (54) in the Investment Banks Or Brokers industry is somewhat better than the same rating for MATH (100) in the null industry. This means that CME’s stock grew somewhat faster than MATH’s over the last 12 months.
CME's Price Growth Rating (50) in the Investment Banks Or Brokers industry is in the same range as MATH (64) in the null industry. This means that CME’s stock grew similarly to MATH’s over the last 12 months.
MATH's P/E Growth Rating (3) in the null industry is somewhat better than the same rating for CME (51) in the Investment Banks Or Brokers industry. This means that MATH’s stock grew somewhat faster than CME’s over the last 12 months.
| CME | MATH | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 41% | 2 days ago 82% |
| Stochastic ODDS (%) | 2 days ago 53% | 2 days ago 89% |
| Momentum ODDS (%) | 2 days ago 40% | 2 days ago 83% |
| MACD ODDS (%) | 2 days ago 43% | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 38% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 54% | 2 days ago 88% |
| Advances ODDS (%) | 20 days ago 50% | 5 days ago 82% |
| Declines ODDS (%) | 3 days ago 41% | 2 days ago 83% |
| BollingerBands ODDS (%) | 2 days ago 51% | 2 days ago 80% |
| Aroon ODDS (%) | 2 days ago 56% | 2 days ago 90% |
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
CME’s FA Score shows that 0 FA rating(s) are green while MATH’s FA Score has 1 green FA rating(s).
- CME’s FA Score: 0 green, 5 red.
- MATH’s FA Score: 1 green, 4 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
CME’s TA Score shows that 3 TA indicator(s) are bullish while MATH’s TA Score has 3 bullish TA indicator(s).
- CME’s TA Score: 3 bullish, 5 bearish.
- MATH’s TA Score: 3 bullish, 6 bearish.
Price Growth
CME (@Financial Publishing/Services) experienced а -1.58% price change this week, while MATH (@Investment Banks/Brokers) price change was -12.38% for the same time period.
The average weekly price growth across all stocks in the @Financial Publishing/Services industry was -4.24%. For the same industry, the average monthly price growth was +0.64%, and the average quarterly price growth was +4.37%.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -3.95%. For the same industry, the average monthly price growth was +8.81%, and the average quarterly price growth was +2.71%.
Reported Earning Dates
CME is expected to report earnings on Oct 28, 2026.
Industries' Descriptions
@Financial Publishing/Services (-4.24% weekly)The financial publishing /services sector includes companies that provide informational products and services that are of value to investors, financial/analytics professionals and other interested readers. The products include real-time stock quotes, financial news and analyses. Think S&P Global, Inc., Moody`s Corporation, Thomson-Reuters Corp and IHS Markit Ltd. Information is critical in making financial or investment decisions, and what makes this industry’s output relevant at all times, across various economic conditions.
@Investment Banks/Brokers (-3.95% weekly)These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
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MATH and
Correlation & Price change
A.I.dvisor tells us that MATH and ARBK have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that MATH and ARBK's prices will move in lockstep.
| Ticker / NAME | Correlation To MATH | 1D Price Change % | ||
|---|---|---|---|---|
| MATH | 100% | -8.21% | ||
| ARBK - MATH | 26% Poorly correlated | -1.37% | ||
| COIN - MATH | 24% Poorly correlated | +1.73% | ||
| BTCS - MATH | 23% Poorly correlated | N/A | ||
| BGDE - MATH | 22% Poorly correlated | +9.34% | ||
| CME - MATH | 21% Poorly correlated | +0.54% | ||
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