CFFN vs TOWN
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 CFFN is a Hold and TOWN is a StrongBuy.
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).
CFFN’s FA Score shows that 1 FA rating(s) are green whileTOWN’s FA Score has 2 green FA rating(s).
- CFFN’s FA Score: 1 green, 4 red.
- TOWN’s FA Score: 2 green, 3 red.
Short-Term Analysis
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.
CFFN’s TA Score shows that 6 TA indicator(s) are bullish while TOWN’s TA Score has 6 bullish TA indicator(s).
- CFFN’s TA Score: 6 bullish, 4 bearish.
- TOWN’s TA Score: 6 bullish, 5 bearish.
Price Growth
CFFN (@Regional Banks) experienced а -2.76% price change this week, while TOWN (@Regional Banks) price change was +0.06% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.64%. For the same industry, the average monthly price growth was +6.60%, and the average quarterly price growth was +4.22%.
Reported Earning Dates
CFFN is expected to report earnings on Jul 23, 2025.
TOWN is expected to report earnings on Jul 24, 2025.
Industries' Descriptions
@Regional Banks (+0.64% 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.
| CFFN | TOWN | CFFN / TOWN | |
| Capitalization | 797M | 2.06B | 39% |
| EBITDA | N/A | N/A | - |
| Gain YTD | -1.955 | 0.080 | -2,433% |
| P/E Ratio | 10.40 | 13.37 | 78% |
| Revenue | -41.29M | 695M | -6% |
| Total Cash | 32.6M | 83.9M | 39% |
| Total Debt | 2.37B | 460M | 516% |
CFFN | TOWN | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 16 | 18 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 46 Fair valued | 67 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 22 | |
SMR RATING 1..100 | 11 | 9 | |
PRICE GROWTH RATING 1..100 | 51 | 48 | |
P/E GROWTH RATING 1..100 | 88 | 38 | |
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.
CFFN's Valuation (46) in the Savings Banks industry is in the same range as TOWN (67) in the Regional Banks industry. This means that CFFN’s stock grew similarly to TOWN’s over the last 12 months.
TOWN's Profit vs Risk Rating (22) in the Regional Banks industry is significantly better than the same rating for CFFN (100) in the Savings Banks industry. This means that TOWN’s stock grew significantly faster than CFFN’s over the last 12 months.
TOWN's SMR Rating (9) in the Regional Banks industry is in the same range as CFFN (11) in the Savings Banks industry. This means that TOWN’s stock grew similarly to CFFN’s over the last 12 months.
TOWN's Price Growth Rating (48) in the Regional Banks industry is in the same range as CFFN (51) in the Savings Banks industry. This means that TOWN’s stock grew similarly to CFFN’s over the last 12 months.
TOWN's P/E Growth Rating (38) in the Regional Banks industry is somewhat better than the same rating for CFFN (88) in the Savings Banks industry. This means that TOWN’s stock grew somewhat faster than CFFN’s over the last 12 months.
| CFFN | TOWN | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 65% | 2 days ago 71% |
| Stochastic ODDS (%) | 2 days ago 74% | 2 days ago 69% |
| Momentum ODDS (%) | 2 days ago 44% | 2 days ago 54% |
| MACD ODDS (%) | 2 days ago 54% | 2 days ago 52% |
| TrendWeek ODDS (%) | 2 days ago 70% | 2 days ago 60% |
| TrendMonth ODDS (%) | 2 days ago 56% | 2 days ago 59% |
| Advances ODDS (%) | 3 days ago 55% | 3 days ago 58% |
| Declines ODDS (%) | 5 days ago 69% | about 1 month ago 58% |
| BollingerBands ODDS (%) | 2 days ago 73% | 2 days ago 72% |
| Aroon ODDS (%) | 2 days ago 63% | 2 days ago 66% |
CFFN and
Correlation & Price change
A.I.dvisor indicates that over the last year, CFFN has been closely correlated with GSBC. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if CFFN jumps, then GSBC could also see price increases.
| Ticker / NAME | Correlation To CFFN | 1D Price Change % | ||
|---|---|---|---|---|
| CFFN | 100% | -1.23% | ||
| GSBC - CFFN | 80% Closely correlated | -0.51% | ||
| PPBI - CFFN | 80% Closely correlated | +0.05% | ||
| NBTB - CFFN | 80% Closely correlated | -0.69% | ||
| NWBI - CFFN | 80% Closely correlated | -0.56% | ||
| UVSP - CFFN | 80% Closely correlated | -1.27% | ||
More | ||||
TOWN and
Correlation & Price change
A.I.dvisor indicates that over the last year, TOWN has been closely correlated with UBSI. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if TOWN jumps, then UBSI could also see price increases.
| Ticker / NAME | Correlation To TOWN | 1D Price Change % | ||
|---|---|---|---|---|
| TOWN | 100% | -0.44% | ||
| UBSI - TOWN | 90% Closely correlated | -0.92% | ||
| FBK - TOWN | 89% Closely correlated | -0.48% | ||
| FMBH - TOWN | 89% Closely correlated | -0.60% | ||
| ABCB - TOWN | 88% Closely correlated | -0.53% | ||
| PEBO - TOWN | 88% Closely correlated | -0.03% | ||
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