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).
CNOB’s FA Score shows that 2 FA rating(s) are green whileWSBF’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.
CNOB’s TA Score shows that 3 TA indicator(s) are bullish while WSBF’s TA Score has 4 bullish TA indicator(s).
CNOB (@Regional Banks) experienced а -3.14% price change this week, while WSBF (@Regional Banks) price change was -1.60% 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%.
CNOB is expected to report earnings on Jan 23, 2025.
WSBF is expected to report earnings on Jan 29, 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.
CNOB | WSBF | CNOB / WSBF | |
Capitalization | 749M | 240M | 312% |
EBITDA | N/A | N/A | - |
Gain YTD | 15.375 | 8.778 | 175% |
P/E Ratio | 9.21 | 25.99 | 35% |
Revenue | 269M | 128M | 210% |
Total Cash | 61.4M | 53.4M | 115% |
Total Debt | 1.03B | 464M | 221% |
CNOB | WSBF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 58 | 65 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 54 Fair valued | 28 Undervalued | |
PROFIT vs RISK RATING 1..100 | 79 | 85 | |
SMR RATING 1..100 | 18 | 59 | |
PRICE GROWTH RATING 1..100 | 44 | 53 | |
P/E GROWTH RATING 1..100 | 14 | 83 | |
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.
WSBF's Valuation (28) in the Regional Banks industry is in the same range as CNOB (54). This means that WSBF’s stock grew similarly to CNOB’s over the last 12 months.
CNOB's Profit vs Risk Rating (79) in the Regional Banks industry is in the same range as WSBF (85). This means that CNOB’s stock grew similarly to WSBF’s over the last 12 months.
CNOB's SMR Rating (18) in the Regional Banks industry is somewhat better than the same rating for WSBF (59). This means that CNOB’s stock grew somewhat faster than WSBF’s over the last 12 months.
CNOB's Price Growth Rating (44) in the Regional Banks industry is in the same range as WSBF (53). This means that CNOB’s stock grew similarly to WSBF’s over the last 12 months.
CNOB's P/E Growth Rating (14) in the Regional Banks industry is significantly better than the same rating for WSBF (83). This means that CNOB’s stock grew significantly faster than WSBF’s over the last 12 months.
CNOB | WSBF | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 2 days ago78% | 2 days ago52% |
Momentum ODDS (%) | 2 days ago65% | 2 days ago60% |
MACD ODDS (%) | 2 days ago74% | 2 days ago57% |
TrendWeek ODDS (%) | 2 days ago73% | 2 days ago59% |
TrendMonth ODDS (%) | 2 days ago73% | 2 days ago61% |
Advances ODDS (%) | 24 days ago69% | 15 days ago58% |
Declines ODDS (%) | 6 days ago70% | 3 days ago61% |
BollingerBands ODDS (%) | N/A | 2 days ago60% |
Aroon ODDS (%) | 2 days ago74% | 2 days ago68% |
1 Day | |||
---|---|---|---|
MFs / NAME | Price $ | Chg $ | Chg % |
PMIYX | 10.82 | -0.02 | -0.18% |
Putnam Multi-Asset Income Y | |||
FSUTX | 124.06 | -0.87 | -0.70% |
Fidelity Select Utilities | |||
CDCRX | 11.65 | -0.09 | -0.77% |
Copeland Dividend Growth Fund Class C | |||
UBVSX | 87.12 | -1.07 | -1.21% |
Undiscovered Managers Behavioral Val I | |||
OISVX | 14.73 | -0.20 | -1.34% |
Optimum Small-Mid Cap Value Instl |
A.I.dvisor indicates that over the last year, CNOB has been closely correlated with UBSI. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if CNOB jumps, then UBSI could also see price increases.
Ticker / NAME | Correlation To CNOB | 1D Price Change % | ||
---|---|---|---|---|
CNOB | 100% | -3.14% | ||
UBSI - CNOB | 86% Closely correlated | -2.49% | ||
TRST - CNOB | 85% Closely correlated | -4.26% | ||
FFBC - CNOB | 85% Closely correlated | -2.32% | ||
TOWN - CNOB | 84% Closely correlated | -1.38% | ||
FMBH - CNOB | 84% Closely correlated | -2.05% | ||
More |
A.I.dvisor indicates that over the last year, WSBF has been closely correlated with FMBH. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if WSBF jumps, then FMBH could also see price increases.
Ticker / NAME | Correlation To WSBF | 1D Price Change % | ||
---|---|---|---|---|
WSBF | 100% | +0.55% | ||
FMBH - WSBF | 77% Closely correlated | -2.05% | ||
UBSI - WSBF | 77% Closely correlated | -2.49% | ||
CNOB - WSBF | 77% Closely correlated | -3.14% | ||
SYBT - WSBF | 77% Closely correlated | -1.91% | ||
FCBC - WSBF | 77% Closely correlated | -0.72% | ||
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