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).
FFWM’s FA Score shows that 0 FA rating(s) are green whileWBBW’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.
FFWM’s TA Score shows that 5 TA indicator(s) are bullish while WBBW’s TA Score has 2 bullish TA indicator(s).
FFWM (@Regional Banks) experienced а -17.77% price change this week, while WBBW (@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 -2.30%. For the same industry, the average monthly price growth was -0.53%, and the average quarterly price growth was +20.56%.
FFWM is expected to report earnings on Feb 04, 2025.
WBBW is expected to report earnings on Jan 17, 2023.
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.
FFWM | WBBW | FFWM / WBBW | |
Capitalization | 407M | 48.8M | 834% |
EBITDA | N/A | N/A | - |
Gain YTD | -34.312 | 21.569 | -159% |
P/E Ratio | 3.63 | 6.34 | 57% |
Revenue | 175M | 37.2M | 470% |
Total Cash | N/A | N/A | - |
Total Debt | 1.58B | 2.63M | 60,084% |
FFWM | WBBW | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 64 | 94 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 84 Overvalued | 14 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 74 | |
SMR RATING 1..100 | 34 | 52 | |
PRICE GROWTH RATING 1..100 | 57 | 47 | |
P/E GROWTH RATING 1..100 | 73 | 51 | |
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.
WBBW's Valuation (14) in the null industry is significantly better than the same rating for FFWM (84) in the Regional Banks industry. This means that WBBW’s stock grew significantly faster than FFWM’s over the last 12 months.
WBBW's Profit vs Risk Rating (74) in the null industry is in the same range as FFWM (100) in the Regional Banks industry. This means that WBBW’s stock grew similarly to FFWM’s over the last 12 months.
FFWM's SMR Rating (34) in the Regional Banks industry is in the same range as WBBW (52) in the null industry. This means that FFWM’s stock grew similarly to WBBW’s over the last 12 months.
WBBW's Price Growth Rating (47) in the null industry is in the same range as FFWM (57) in the Regional Banks industry. This means that WBBW’s stock grew similarly to FFWM’s over the last 12 months.
WBBW's P/E Growth Rating (51) in the null industry is in the same range as FFWM (73) in the Regional Banks industry. This means that WBBW’s stock grew similarly to FFWM’s over the last 12 months.
FFWM | WBBW | |
---|---|---|
RSI ODDS (%) | 1 day ago77% | 1 day ago29% |
Stochastic ODDS (%) | 1 day ago69% | 1 day ago25% |
Momentum ODDS (%) | 1 day ago72% | 1 day ago41% |
MACD ODDS (%) | 1 day ago72% | N/A |
TrendWeek ODDS (%) | 1 day ago79% | 1 day ago37% |
TrendMonth ODDS (%) | 1 day ago80% | 1 day ago37% |
Advances ODDS (%) | 25 days ago65% | N/A |
Declines ODDS (%) | 1 day ago76% | N/A |
BollingerBands ODDS (%) | 1 day ago62% | N/A |
Aroon ODDS (%) | 1 day ago71% | 1 day ago53% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
UCIB | 25.54 | N/A | N/A |
UBS ETRACS BgCstMtCdy(CMCI)TtlRetETNSerB | |||
PIFI | 93.52 | N/A | N/A |
ClearShares Piton Intdt Fxd Inc ETF | |||
XVV | 45.32 | -1.34 | -2.87% |
iShares® ESG Screened S&P 500 ETF | |||
JMOM | 58.57 | -2.03 | -3.35% |
JPMorgan US Momentum Factor ETF | |||
IJR | 115.51 | -4.90 | -4.07% |
iShares Core S&P Small-Cap ETF |
A.I.dvisor indicates that over the last year, FFWM has been closely correlated with SFNC. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if FFWM jumps, then SFNC could also see price increases.
Ticker / NAME | Correlation To FFWM | 1D Price Change % | ||
---|---|---|---|---|
FFWM | 100% | -8.91% | ||
SFNC - FFWM | 68% Closely correlated | -5.13% | ||
SFBS - FFWM | 67% Closely correlated | -6.35% | ||
VLY - FFWM | 67% Closely correlated | -6.85% | ||
UBSI - FFWM | 66% Closely correlated | -5.62% | ||
CNOB - FFWM | 66% Closely correlated | -7.11% | ||
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A.I.dvisor indicates that over the last year, WBBW has been loosely correlated with CBWBF. These tickers have moved in lockstep 33% of the time. This A.I.-generated data suggests there is some statistical probability that if WBBW jumps, then CBWBF could also see price increases.
Ticker / NAME | Correlation To WBBW | 1D Price Change % | ||
---|---|---|---|---|
WBBW | 100% | N/A | ||
CBWBF - WBBW | 33% Loosely correlated | -2.31% | ||
FFWM - WBBW | 24% Poorly correlated | -8.91% | ||
WBS - WBBW | 21% Poorly correlated | -5.49% | ||
PCLB - WBBW | 21% Poorly correlated | N/A | ||
VTYB - WBBW | 8% Poorly correlated | N/A | ||
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