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).
MFG’s FA Score shows that 2 FA rating(s) are green whileSHFS’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.
MFG’s TA Score shows that 4 TA indicator(s) are bullish while SHFS’s TA Score has 3 bullish TA indicator(s).
MFG (@Regional Banks) experienced а -11.76% price change this week, while SHFS (@Regional Banks) price change was -26.11% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -2.85%. For the same industry, the average monthly price growth was -4.00%, and the average quarterly price growth was +0.47%.
MFG is expected to report earnings on Jul 30, 2025.
SHFS is expected to report earnings on Apr 14, 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.
MFG | SHFS | MFG / SHFS | |
Capitalization | 49.2B | 53.1M | 92,655% |
EBITDA | N/A | N/A | - |
Gain YTD | -1.840 | -74.239 | 2% |
P/E Ratio | 11.31 | 3.43 | 330% |
Revenue | 2.88T | -27.72M | -10,391,476% |
Total Cash | N/A | N/A | - |
Total Debt | 20.53T | 15.5M | 132,470,968% |
MFG | ||
---|---|---|
OUTLOOK RATING 1..100 | 86 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 40 Fair valued | |
PROFIT vs RISK RATING 1..100 | 18 | |
SMR RATING 1..100 | 1 | |
PRICE GROWTH RATING 1..100 | 60 | |
P/E GROWTH RATING 1..100 | 57 | |
SEASONALITY SCORE 1..100 | n/a |
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.
MFG | SHFS | |
---|---|---|
RSI ODDS (%) | 2 days ago47% | 2 days ago85% |
Stochastic ODDS (%) | 2 days ago63% | 2 days ago79% |
Momentum ODDS (%) | 2 days ago38% | N/A |
MACD ODDS (%) | 2 days ago51% | 2 days ago57% |
TrendWeek ODDS (%) | 2 days ago47% | 2 days ago81% |
TrendMonth ODDS (%) | 2 days ago46% | 2 days ago86% |
Advances ODDS (%) | 2 days ago60% | N/A |
Declines ODDS (%) | 7 days ago43% | 4 days ago88% |
BollingerBands ODDS (%) | 2 days ago63% | 2 days ago90% |
Aroon ODDS (%) | N/A | 2 days ago90% |
A.I.dvisor indicates that over the last year, MFG has been closely correlated with SUTNY. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if MFG jumps, then SUTNY could also see price increases.
Ticker / NAME | Correlation To MFG | 1D Price Change % | ||
---|---|---|---|---|
MFG | 100% | +9.59% | ||
SUTNY - MFG | 71% Closely correlated | +5.15% | ||
NWG - MFG | 51% Loosely correlated | +9.18% | ||
AMTB - MFG | 45% Loosely correlated | +6.46% | ||
DB - MFG | 45% Loosely correlated | +11.08% | ||
SNV - MFG | 45% Loosely correlated | +11.89% | ||
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A.I.dvisor tells us that SHFS and UMBF have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SHFS and UMBF's prices will move in lockstep.
Ticker / NAME | Correlation To SHFS | 1D Price Change % | ||
---|---|---|---|---|
SHFS | 100% | +4.50% | ||
UMBF - SHFS | 26% Poorly correlated | +8.95% | ||
ABCB - SHFS | 25% Poorly correlated | +8.31% | ||
WAL - SHFS | 25% Poorly correlated | +12.36% | ||
MFG - SHFS | 24% Poorly correlated | +9.59% | ||
FBP - SHFS | 24% Poorly correlated | +8.12% | ||
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