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).
RMBI’s FA Score shows that 1 FA rating(s) are green whileSBCF’s FA Score has 1 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.
RMBI’s TA Score shows that 5 TA indicator(s) are bullish while SBCF’s TA Score has 4 bullish TA indicator(s).
RMBI (@Regional Banks) experienced а -5.54% price change this week, while SBCF (@Regional Banks) price change was -3.69% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -1.09%. For the same industry, the average monthly price growth was +1.76%, and the average quarterly price growth was +9.90%.
RMBI is expected to report earnings on Apr 17, 2025.
SBCF is expected to report earnings on Apr 24, 2025.
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.
RMBI | SBCF | RMBI / SBCF | |
Capitalization | 125M | 2.1B | 6% |
EBITDA | N/A | N/A | - |
Gain YTD | -7.208 | 2.325 | -310% |
P/E Ratio | 12.80 | 20.13 | 64% |
Revenue | 43.5M | 567M | 8% |
Total Cash | N/A | 168M | - |
Total Debt | N/A | 156M | - |
SBCF | ||
---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 78 Overvalued | |
PROFIT vs RISK RATING 1..100 | 84 | |
SMR RATING 1..100 | 13 | |
PRICE GROWTH RATING 1..100 | 50 | |
P/E GROWTH RATING 1..100 | 49 | |
SEASONALITY SCORE 1..100 | 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.
RMBI | SBCF | |
---|---|---|
RSI ODDS (%) | 3 days ago67% | 3 days ago65% |
Stochastic ODDS (%) | 3 days ago61% | 3 days ago71% |
Momentum ODDS (%) | 3 days ago44% | 3 days ago76% |
MACD ODDS (%) | 3 days ago45% | 3 days ago66% |
TrendWeek ODDS (%) | 3 days ago49% | 3 days ago69% |
TrendMonth ODDS (%) | 3 days ago55% | 3 days ago62% |
Advances ODDS (%) | 14 days ago49% | 13 days ago63% |
Declines ODDS (%) | 3 days ago50% | 3 days ago69% |
BollingerBands ODDS (%) | 3 days ago74% | 3 days ago74% |
Aroon ODDS (%) | 3 days ago51% | 3 days ago59% |
1 Day | |||
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MFs / NAME | Price $ | Chg $ | Chg % |
SFNNX | 11.07 | -0.09 | -0.81% |
Schwab Fundamental Intl Equity Index Fd | |||
ARSZX | 9.96 | -0.20 | -1.97% |
AMG River Road Small-Mid Cap Value Z | |||
ANFCX | 51.20 | -1.10 | -2.10% |
American Funds New Economy C | |||
AGCTX | 18.89 | -0.52 | -2.68% |
American Century Global Small Cap R6 | |||
IRGVX | 48.18 | -1.71 | -3.43% |
Voya Russell Mid Cap Growth Idx Port S2 |
A.I.dvisor tells us that RMBI and SBCF have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that RMBI and SBCF's prices will move in lockstep.
Ticker / NAME | Correlation To RMBI | 1D Price Change % | ||
---|---|---|---|---|
RMBI | 100% | -2.09% | ||
SBCF - RMBI | 32% Poorly correlated | -3.33% | ||
NRIM - RMBI | 31% Poorly correlated | -2.96% | ||
HTLF - RMBI | 31% Poorly correlated | N/A | ||
TCBS - RMBI | 31% Poorly correlated | -0.68% | ||
CCNE - RMBI | 30% Poorly correlated | -1.83% | ||
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A.I.dvisor indicates that over the last year, SBCF has been closely correlated with ABCB. These tickers have moved in lockstep 91% of the time. This A.I.-generated data suggests there is a high statistical probability that if SBCF jumps, then ABCB could also see price increases.
Ticker / NAME | Correlation To SBCF | 1D Price Change % | ||
---|---|---|---|---|
SBCF | 100% | -3.33% | ||
ABCB - SBCF | 91% Closely correlated | -2.13% | ||
WSFS - SBCF | 90% Closely correlated | -2.74% | ||
PPBI - SBCF | 89% Closely correlated | -2.70% | ||
UCB - SBCF | 89% Closely correlated | -2.09% | ||
SFNC - SBCF | 89% Closely correlated | -1.19% | ||
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