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).
CPF’s FA Score shows that 2 FA rating(s) are green whileIBN’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.
CPF’s TA Score shows that 4 TA indicator(s) are bullish while IBN’s TA Score has 6 bullish TA indicator(s).
CPF (@Regional Banks) experienced а -1.91% price change this week, while IBN (@Regional Banks) price change was -0.03% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -1.41%. For the same industry, the average monthly price growth was +4.60%, and the average quarterly price growth was +11.30%.
CPF is expected to report earnings on Oct 23, 2024.
IBN is expected to report earnings on Oct 21, 2024.
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.
CPF | IBN | CPF / IBN | |
Capitalization | 524M | 92.6B | 1% |
EBITDA | N/A | N/A | - |
Gain YTD | 43.298 | 23.152 | 187% |
P/E Ratio | 8.93 | 18.20 | 49% |
Revenue | 247M | 1.55T | 0% |
Total Cash | 109M | N/A | - |
Total Debt | 187M | 2.01T | 0% |
CPF | IBN | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 80 | 12 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 76 Overvalued | 97 Overvalued | |
PROFIT vs RISK RATING 1..100 | 64 | 11 | |
SMR RATING 1..100 | 19 | 1 | |
PRICE GROWTH RATING 1..100 | 37 | 44 | |
P/E GROWTH RATING 1..100 | 11 | 51 | |
SEASONALITY SCORE 1..100 | n/a | 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.
CPF's Valuation (76) in the Regional Banks industry is in the same range as IBN (97). This means that CPF’s stock grew similarly to IBN’s over the last 12 months.
IBN's Profit vs Risk Rating (11) in the Regional Banks industry is somewhat better than the same rating for CPF (64). This means that IBN’s stock grew somewhat faster than CPF’s over the last 12 months.
IBN's SMR Rating (1) in the Regional Banks industry is in the same range as CPF (19). This means that IBN’s stock grew similarly to CPF’s over the last 12 months.
CPF's Price Growth Rating (37) in the Regional Banks industry is in the same range as IBN (44). This means that CPF’s stock grew similarly to IBN’s over the last 12 months.
CPF's P/E Growth Rating (11) in the Regional Banks industry is somewhat better than the same rating for IBN (51). This means that CPF’s stock grew somewhat faster than IBN’s over the last 12 months.
CPF | IBN | |
---|---|---|
RSI ODDS (%) | 3 days ago60% | 3 days ago46% |
Stochastic ODDS (%) | 3 days ago61% | 3 days ago52% |
Momentum ODDS (%) | 3 days ago70% | 3 days ago66% |
MACD ODDS (%) | 3 days ago69% | 3 days ago62% |
TrendWeek ODDS (%) | 3 days ago66% | 3 days ago62% |
TrendMonth ODDS (%) | 3 days ago65% | 3 days ago59% |
Advances ODDS (%) | 10 days ago60% | 4 days ago64% |
Declines ODDS (%) | 3 days ago65% | 19 days ago49% |
BollingerBands ODDS (%) | 3 days ago80% | 3 days ago51% |
Aroon ODDS (%) | 3 days ago72% | 3 days ago54% |
A.I.dvisor indicates that over the last year, IBN has been loosely correlated with SBNY. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if IBN jumps, then SBNY could also see price increases.
Ticker / NAME | Correlation To IBN | 1D Price Change % | ||
---|---|---|---|---|
IBN | 100% | -1.66% | ||
SBNY - IBN | 59% Loosely correlated | N/A | ||
HDB - IBN | 55% Loosely correlated | -1.23% | ||
TRMK - IBN | 30% Poorly correlated | -1.22% | ||
BOKF - IBN | 29% Poorly correlated | -0.43% | ||
HTLF - IBN | 29% Poorly correlated | -0.46% | ||
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