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).
MFDB’s FA Score shows that 1 FA rating(s) are green whileWBZB’s FA Score has 0 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.
MFDB’s TA Score shows that 4 TA indicator(s) are bullish while WBZB’s TA Score has 2 bullish TA indicator(s).
MFDB (@Regional Banks) experienced а -5.45% price change this week, while WBZB (@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 -3.08%. For the same industry, the average monthly price growth was -0.84%, and the average quarterly price growth was +20.19%.
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.
MFDB | WBZB | MFDB / WBZB | |
Capitalization | 5.17M | N/A | - |
EBITDA | N/A | N/A | - |
Gain YTD | 47.727 | 27.660 | 173% |
P/E Ratio | N/A | N/A | - |
Revenue | N/A | N/A | - |
Total Cash | N/A | N/A | - |
Total Debt | N/A | N/A | - |
MFDB | ||
---|---|---|
OUTLOOK RATING 1..100 | 95 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 8 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 89 | |
PRICE GROWTH RATING 1..100 | 52 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 75 |
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.
MFDB | WBZB | |
---|---|---|
RSI ODDS (%) | 2 days ago45% | N/A |
Stochastic ODDS (%) | 2 days ago44% | 2 days ago21% |
Momentum ODDS (%) | 2 days ago58% | N/A |
MACD ODDS (%) | 2 days ago60% | 2 days ago12% |
TrendWeek ODDS (%) | 2 days ago56% | 2 days ago22% |
TrendMonth ODDS (%) | 2 days ago34% | 2 days ago21% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | 2 days ago14% |
Aroon ODDS (%) | 2 days ago44% | 2 days ago15% |
A.I.dvisor indicates that over the last year, MFDB has been loosely correlated with WBZB. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if MFDB jumps, then WBZB could also see price increases.
Ticker / NAME | Correlation To MFDB | 1D Price Change % | ||
---|---|---|---|---|
MFDB | 100% | N/A | ||
WBZB - MFDB | 35% Loosely correlated | N/A | ||
AMFC - MFDB | 33% Loosely correlated | -7.91% | ||
FBSI - MFDB | 30% Poorly correlated | N/A | ||
HMST - MFDB | 28% Poorly correlated | +0.09% | ||
SVBT - MFDB | 26% Poorly correlated | +0.59% | ||
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A.I.dvisor indicates that over the last year, WBZB has been loosely correlated with MFDB. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if WBZB jumps, then MFDB could also see price increases.
Ticker / NAME | Correlation To WBZB | 1D Price Change % | ||
---|---|---|---|---|
WBZB | 100% | N/A | ||
MFDB - WBZB | 35% Loosely correlated | N/A | ||
NEFB - WBZB | 34% Loosely correlated | -0.50% | ||
CIBEY - WBZB | 33% Loosely correlated | -1.32% | ||
CCRDF - WBZB | 25% Poorly correlated | N/A | ||
MZHOF - WBZB | 22% Poorly correlated | +8.88% | ||
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