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 whileTCBS’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 2 TA indicator(s) are bullish while TCBS’s TA Score has 6 bullish TA indicator(s).
RMBI (@Regional Banks) experienced а -2.58% price change this week, while TCBS (@Regional Banks) price change was -0.07% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -3.34%. For the same industry, the average monthly price growth was -1.11%, and the average quarterly price growth was +19.80%.
RMBI is expected to report earnings on Jan 23, 2025.
TCBS is expected to report earnings on Mar 30, 2023.
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 | TCBS | RMBI / TCBS | |
Capitalization | 125M | 46.8M | 267% |
EBITDA | N/A | N/A | - |
Gain YTD | 30.297 | 7.384 | 410% |
P/E Ratio | 12.80 | 416.67 | 3% |
Revenue | 43.5M | 11.4M | 382% |
Total Cash | N/A | 5.45M | - |
Total Debt | N/A | 76.9M | - |
RMBI | TCBS | |
---|---|---|
RSI ODDS (%) | 3 days ago38% | 3 days ago41% |
Stochastic ODDS (%) | 3 days ago39% | 3 days ago29% |
Momentum ODDS (%) | 3 days ago38% | 3 days ago41% |
MACD ODDS (%) | 3 days ago37% | 3 days ago37% |
TrendWeek ODDS (%) | 3 days ago49% | 3 days ago36% |
TrendMonth ODDS (%) | 3 days ago54% | 3 days ago32% |
Advances ODDS (%) | 7 days ago47% | 8 days ago43% |
Declines ODDS (%) | 3 days ago50% | N/A |
BollingerBands ODDS (%) | 3 days ago36% | 3 days ago31% |
Aroon ODDS (%) | 3 days ago58% | 3 days ago37% |
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% | -2.45% | ||
SBCF - RMBI | 32% Poorly correlated | -5.53% | ||
NRIM - RMBI | 31% Poorly correlated | -5.76% | ||
HTLF - RMBI | 31% Poorly correlated | -5.90% | ||
TCBS - RMBI | 31% Poorly correlated | -1.83% | ||
CCNE - RMBI | 30% Poorly correlated | -5.47% | ||
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A.I.dvisor indicates that over the last year, TCBS has been loosely correlated with HTBK. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if TCBS jumps, then HTBK could also see price increases.
Ticker / NAME | Correlation To TCBS | 1D Price Change % | ||
---|---|---|---|---|
TCBS | 100% | -1.83% | ||
HTBK - TCBS | 38% Loosely correlated | -4.76% | ||
HTLF - TCBS | 36% Loosely correlated | -5.90% | ||
SFST - TCBS | 35% Loosely correlated | -7.06% | ||
VBTX - TCBS | 34% Loosely correlated | -7.01% | ||
AUB - TCBS | 34% Loosely correlated | -5.48% | ||
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