BAOB vs CBOBA
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BAOB is a Hold and CBOBA is a Hold.
Long-Term Analysis
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).
BAOB’s FA Score shows that 1 FA rating(s) are green whileCBOBA’s FA Score has 1 green FA rating(s).
- BAOB’s FA Score: 1 green, 4 red.
- CBOBA’s FA Score: 1 green, 4 red.
Price Growth
BAOB (@Regional Banks) experienced а -0.31% price change this week, while CBOBA (@Regional Banks) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.40%. For the same industry, the average monthly price growth was +3.87%, and the average quarterly price growth was +18.03%.
Industries' Descriptions
@Regional Banks (+0.40% weekly)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.
| BAOB | CBOBA | BAOB / CBOBA | |
| Capitalization | 24.1M | 71M | 34% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 17.289 | 83.880 | 21% |
| P/E Ratio | N/A | N/A | - |
| Revenue | 24.2M | 3.93M | 616% |
| Total Cash | N/A | N/A | - |
| Total Debt | 8.1M | 3.57M | 227% |
BAOB | CBOBA | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 12 Undervalued | 87 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 11 | |
SMR RATING 1..100 | 63 | 49 | |
PRICE GROWTH RATING 1..100 | 46 | 38 | |
P/E GROWTH RATING 1..100 | 58 | 57 | |
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.
BAOB's Valuation (12) in the null industry is significantly better than the same rating for CBOBA (87). This means that BAOB’s stock grew significantly faster than CBOBA’s over the last 12 months.
CBOBA's Profit vs Risk Rating (11) in the null industry is significantly better than the same rating for BAOB (100). This means that CBOBA’s stock grew significantly faster than BAOB’s over the last 12 months.
CBOBA's SMR Rating (49) in the null industry is in the same range as BAOB (63). This means that CBOBA’s stock grew similarly to BAOB’s over the last 12 months.
CBOBA's Price Growth Rating (38) in the null industry is in the same range as BAOB (46). This means that CBOBA’s stock grew similarly to BAOB’s over the last 12 months.
CBOBA's P/E Growth Rating (57) in the null industry is in the same range as BAOB (58). This means that CBOBA’s stock grew similarly to BAOB’s over the last 12 months.
| RSI ODDS (%) |
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TMV | 36.84 | 0.35 | +0.96% |
| Direxion Daily 20+ Yr Trsy Bear 3X ETF | |||
| FMHI | 48.74 | -0.01 | -0.03% |
| First Trust Municipal High Income ETF | |||
| IJS | 112.03 | -0.89 | -0.79% |
| iShares S&P Small-Cap 600 Value ETF | |||
| GBUY | 35.15 | -0.32 | -0.89% |
| Goldman Sachs Future Consumer Equity ETF | |||
| PILL | 8.34 | -0.73 | -8.05% |
| Direxion Daily Phrmctcl&MdclBl3XShrsETF | |||
BAOB and
Correlation & Price change
A.I.dvisor tells us that BAOB and GPFOF have been poorly correlated (+28% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that BAOB and GPFOF's prices will move in lockstep.
| Ticker / NAME | Correlation To BAOB | 1D Price Change % | ||
|---|---|---|---|---|
| BAOB | 100% | N/A | ||
| GPFOF - BAOB | 28% Poorly correlated | N/A | ||
| TCBS - BAOB | 25% Poorly correlated | +0.13% | ||
| KLIB - BAOB | 21% Poorly correlated | N/A | ||
| CBOBA - BAOB | 21% Poorly correlated | N/A | ||
| BCAL - BAOB | 5% Poorly correlated | -0.35% | ||
More | ||||
CBOBA and
Correlation & Price change
A.I.dvisor indicates that over the last year, CBOBA has been loosely correlated with CHCJY. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if CBOBA jumps, then CHCJY could also see price increases.
| Ticker / NAME | Correlation To CBOBA | 1D Price Change % | ||
|---|---|---|---|---|
| CBOBA | 100% | N/A | ||
| CHCJY - CBOBA | 36% Loosely correlated | N/A | ||
| PVBK - CBOBA | 34% Loosely correlated | N/A | ||
| SCZC - CBOBA | 29% Poorly correlated | N/A | ||
| PDLB - CBOBA | 23% Poorly correlated | -0.08% | ||
| NBN - CBOBA | 22% Poorly correlated | -1.45% | ||
More | ||||