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).
SBNY’s FA Score shows that 2 FA rating(s) are green whileTFIN’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.
SBNY’s TA Score shows that 5 TA indicator(s) are bullish while TFIN’s TA Score has 3 bullish TA indicator(s).
SBNY (@Regional Banks) experienced а -1.05% price change this week, while TFIN (@Regional Banks) price change was -3.69% 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%.
SBNY is expected to report earnings on Oct 15, 2024.
TFIN is expected to report earnings on Oct 16, 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.
SBNY | TFIN | SBNY / TFIN | |
Capitalization | 3.15M | 1.85B | 0% |
EBITDA | N/A | N/A | - |
Gain YTD | 17.434 | 0.062 | 27,955% |
P/E Ratio | 0.00 | 48.17 | 0% |
Revenue | 2.7B | 418M | 645% |
Total Cash | 11.3B | N/A | - |
Total Debt | 2.31B | 405M | 571% |
SBNY | TFIN | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 9 | 66 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 1 Undervalued | 99 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 51 | |
SMR RATING 1..100 | 7 | 15 | |
PRICE GROWTH RATING 1..100 | 34 | 49 | |
P/E GROWTH RATING 1..100 | 90 | 9 | |
SEASONALITY SCORE 1..100 | n/a | 95 |
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.
SBNY's Valuation (1) in the Regional Banks industry is significantly better than the same rating for TFIN (99). This means that SBNY’s stock grew significantly faster than TFIN’s over the last 12 months.
TFIN's Profit vs Risk Rating (51) in the Regional Banks industry is somewhat better than the same rating for SBNY (100). This means that TFIN’s stock grew somewhat faster than SBNY’s over the last 12 months.
SBNY's SMR Rating (7) in the Regional Banks industry is in the same range as TFIN (15). This means that SBNY’s stock grew similarly to TFIN’s over the last 12 months.
SBNY's Price Growth Rating (34) in the Regional Banks industry is in the same range as TFIN (49). This means that SBNY’s stock grew similarly to TFIN’s over the last 12 months.
TFIN's P/E Growth Rating (9) in the Regional Banks industry is significantly better than the same rating for SBNY (90). This means that TFIN’s stock grew significantly faster than SBNY’s over the last 12 months.
SBNY | TFIN | |
---|---|---|
RSI ODDS (%) | 3 days ago90% | N/A |
Stochastic ODDS (%) | 3 days ago87% | 3 days ago81% |
Momentum ODDS (%) | 3 days ago81% | 3 days ago71% |
MACD ODDS (%) | 3 days ago67% | 3 days ago65% |
TrendWeek ODDS (%) | 3 days ago82% | 3 days ago70% |
TrendMonth ODDS (%) | 3 days ago89% | 3 days ago74% |
Advances ODDS (%) | 13 days ago79% | 9 days ago73% |
Declines ODDS (%) | 17 days ago80% | 3 days ago72% |
BollingerBands ODDS (%) | 3 days ago90% | 3 days ago74% |
Aroon ODDS (%) | 3 days ago90% | 3 days ago73% |
A.I.dvisor indicates that over the last year, SBNY has been closely correlated with WAL. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if SBNY jumps, then WAL could also see price increases.
Ticker / NAME | Correlation To SBNY | 1D Price Change % | ||
---|---|---|---|---|
SBNY | 100% | N/A | ||
WAL - SBNY | 84% Closely correlated | -0.46% | ||
FITB - SBNY | 74% Closely correlated | -0.95% | ||
SNV - SBNY | 74% Closely correlated | -0.32% | ||
OZK - SBNY | 73% Closely correlated | -1.94% | ||
BKU - SBNY | 73% Closely correlated | -1.63% | ||
More |
A.I.dvisor indicates that over the last year, TFIN has been closely correlated with FNB. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if TFIN jumps, then FNB could also see price increases.
Ticker / NAME | Correlation To TFIN | 1D Price Change % | ||
---|---|---|---|---|
TFIN | 100% | -0.38% | ||
FNB - TFIN | 68% Closely correlated | -1.58% | ||
UCB - TFIN | 65% Loosely correlated | -1.11% | ||
SBNY - TFIN | 65% Loosely correlated | N/A | ||
SBCF - TFIN | 65% Loosely correlated | -0.48% | ||
SNV - TFIN | 65% Loosely correlated | -0.32% | ||
More |