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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
FFMH’s FA Score shows that 1 FA rating(s) are green whileMCB’s FA Score has 2 green FA rating(s).
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.
FFMH’s TA Score shows that 6 TA indicator(s) are bullish while MCB’s TA Score has 2 bullish TA indicator(s).
FFMH (@Regional Banks) experienced а 0.00% price change this week, while MCB (@Regional Banks) price change was -1.53% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +7.08%. For the same industry, the average monthly price growth was +5.30%, and the average quarterly price growth was +23.12%.
MCB is expected to report earnings on Jan 15, 2026.
Regional banks have a smaller reach than major banks, and cater mostly to one region of a country, such as a state or within a group of states. They offer services often similar – albeit with some limitations/smaller scale – compared to major banks. Taking deposits, making loans, mortgages, leases, credit cards , fund management, insurance and investment banking. SunTrust Banks, State Street Corp., M&T Bank Corp. are some examples of U.S. regional banks.
| FFMH | MCB | FFMH / MCB | |
| Capitalization | 176M | 736M | 24% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 28.348 | 21.650 | 131% |
| P/E Ratio | 9.98 | 12.27 | 81% |
| Revenue | 62.9M | 289M | 22% |
| Total Cash | 24.4M | 18.6M | 131% |
| Total Debt | 10M | 217M | 5% |
FFMH | MCB | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 54 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 68 Overvalued | 61 Fair valued | |
PROFIT vs RISK RATING 1..100 | 33 | 68 | |
SMR RATING 1..100 | 100 | 23 | |
PRICE GROWTH RATING 1..100 | 49 | 55 | |
P/E GROWTH RATING 1..100 | 53 | 24 | |
SEASONALITY SCORE 1..100 | 50 | n/a |
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.
MCB's Valuation (61) in the Major Banks industry is in the same range as FFMH (68) in the null industry. This means that MCB’s stock grew similarly to FFMH’s over the last 12 months.
FFMH's Profit vs Risk Rating (33) in the null industry is somewhat better than the same rating for MCB (68) in the Major Banks industry. This means that FFMH’s stock grew somewhat faster than MCB’s over the last 12 months.
MCB's SMR Rating (23) in the Major Banks industry is significantly better than the same rating for FFMH (100) in the null industry. This means that MCB’s stock grew significantly faster than FFMH’s over the last 12 months.
FFMH's Price Growth Rating (49) in the null industry is in the same range as MCB (55) in the Major Banks industry. This means that FFMH’s stock grew similarly to MCB’s over the last 12 months.
MCB's P/E Growth Rating (24) in the Major Banks industry is in the same range as FFMH (53) in the null industry. This means that MCB’s stock grew similarly to FFMH’s over the last 12 months.
| FFMH | MCB | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 45% | N/A |
| Stochastic ODDS (%) | 3 days ago 41% | 3 days ago 79% |
| Momentum ODDS (%) | 3 days ago 37% | 3 days ago 73% |
| MACD ODDS (%) | 3 days ago 34% | 3 days ago 68% |
| TrendWeek ODDS (%) | 3 days ago 38% | 3 days ago 74% |
| TrendMonth ODDS (%) | 3 days ago 37% | 3 days ago 78% |
| Advances ODDS (%) | 12 days ago 58% | 6 days ago 75% |
| Declines ODDS (%) | 25 days ago 31% | 3 days ago 74% |
| BollingerBands ODDS (%) | 3 days ago 39% | 3 days ago 68% |
| Aroon ODDS (%) | 3 days ago 34% | 3 days ago 78% |
A.I.dvisor tells us that FFMH and PONT have been poorly correlated (+28% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FFMH and PONT's prices will move in lockstep.
| Ticker / NAME | Correlation To FFMH | 1D Price Change % | ||
|---|---|---|---|---|
| FFMH | 100% | +0.25% | ||
| PONT - FFMH | 28% Poorly correlated | N/A | ||
| VALIF - FFMH | 23% Poorly correlated | N/A | ||
| MCB - FFMH | 22% Poorly correlated | -4.84% | ||
| CWBC - FFMH | 22% Poorly correlated | +2.29% | ||
| NBGRY - FFMH | 22% Poorly correlated | -4.68% | ||
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