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).
NODB’s FA Score shows that 0 FA rating(s) are green whileWCFB’s FA Score has 0 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.
NODB’s TA Score shows that 3 TA indicator(s) are bullish while WCFB’s TA Score has 6 bullish TA indicator(s).
NODB (@Regional Banks) experienced а -0.21% price change this week, while WCFB (@Regional Banks) price change was -20.81% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -3.08%. For the same industry, the average monthly price growth was -0.84%, and the average quarterly price growth was +20.19%.
WCFB is expected to report earnings on Jan 28, 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.
NODB | WCFB | NODB / WCFB | |
Capitalization | 98.4M | 22.4M | 439% |
EBITDA | N/A | N/A | - |
Gain YTD | -3.367 | 2.821 | -119% |
P/E Ratio | N/A | N/A | - |
Revenue | 28.7M | 3.14M | 913% |
Total Cash | N/A | N/A | - |
Total Debt | 5.45M | 14.5M | 38% |
NODB | WCFB | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 90 | 96 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 35 Fair valued | 50 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 64 | 88 | |
PRICE GROWTH RATING 1..100 | 52 | 49 | |
P/E GROWTH RATING 1..100 | 45 | 97 | |
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.
NODB's Valuation (35) in the null industry is in the same range as WCFB (50) in the Savings Banks industry. This means that NODB’s stock grew similarly to WCFB’s over the last 12 months.
NODB's Profit vs Risk Rating (100) in the null industry is in the same range as WCFB (100) in the Savings Banks industry. This means that NODB’s stock grew similarly to WCFB’s over the last 12 months.
NODB's SMR Rating (64) in the null industry is in the same range as WCFB (88) in the Savings Banks industry. This means that NODB’s stock grew similarly to WCFB’s over the last 12 months.
WCFB's Price Growth Rating (49) in the Savings Banks industry is in the same range as NODB (52) in the null industry. This means that WCFB’s stock grew similarly to NODB’s over the last 12 months.
NODB's P/E Growth Rating (45) in the null industry is somewhat better than the same rating for WCFB (97) in the Savings Banks industry. This means that NODB’s stock grew somewhat faster than WCFB’s over the last 12 months.
NODB | WCFB | |
---|---|---|
RSI ODDS (%) | 2 days ago22% | 2 days ago33% |
Stochastic ODDS (%) | 2 days ago14% | 2 days ago54% |
Momentum ODDS (%) | 2 days ago32% | 2 days ago29% |
MACD ODDS (%) | 2 days ago25% | 2 days ago35% |
TrendWeek ODDS (%) | 2 days ago29% | 2 days ago28% |
TrendMonth ODDS (%) | 2 days ago22% | 2 days ago42% |
Advances ODDS (%) | N/A | 3 days ago40% |
Declines ODDS (%) | N/A | 7 days ago38% |
BollingerBands ODDS (%) | N/A | 2 days ago51% |
Aroon ODDS (%) | 2 days ago24% | 2 days ago44% |
A.I.dvisor tells us that NODB and VBFC have been poorly correlated (+28% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that NODB and VBFC's prices will move in lockstep.
Ticker / NAME | Correlation To NODB | 1D Price Change % | ||
---|---|---|---|---|
NODB | 100% | N/A | ||
VBFC - NODB | 28% Poorly correlated | N/A | ||
CWBK - NODB | 26% Poorly correlated | +0.63% | ||
SLBK - NODB | 25% Poorly correlated | N/A | ||
GPFOF - NODB | 24% Poorly correlated | N/A | ||
WCFB - NODB | 22% Poorly correlated | N/A | ||
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A.I.dvisor tells us that WCFB and ERKH have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WCFB and ERKH's prices will move in lockstep.
Ticker / NAME | Correlation To WCFB | 1D Price Change % | ||
---|---|---|---|---|
WCFB | 100% | N/A | ||
ERKH - WCFB | 24% Poorly correlated | -1.96% | ||
LSFG - WCFB | 23% Poorly correlated | N/A | ||
NODB - WCFB | 22% Poorly correlated | N/A | ||
TRUX - WCFB | 22% Poorly correlated | -1.65% | ||
UNIB - WCFB | 21% Poorly correlated | N/A | ||
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