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MTB vs SAEF
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 MTB is a StrongBuy and SAEF is a Hold.
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).
MTB’s FA Score shows that 2 FA rating(s) are green while.
- MTB’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.
MTB’s TA Score shows that 6 TA indicator(s) are bullish.
- MTB’s TA Score: 6 bullish, 3 bearish.
Price Growth
MTB (@Regional Banks) experienced а -0.82% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -0.20%. For the same industry, the average monthly price growth was +1.03%, and the average quarterly price growth was +13.60%.
Reported Earning Dates
MTB is expected to report earnings on Oct 16, 2025.
Industries' Descriptions
@Regional Banks (-0.20% 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.
MTB | ||
|---|---|---|
OUTLOOK RATING 1..100 | 74 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 98 Overvalued | |
PROFIT vs RISK RATING 1..100 | 30 | |
SMR RATING 1..100 | 6 | |
PRICE GROWTH RATING 1..100 | 34 | |
P/E GROWTH RATING 1..100 | 45 | |
SEASONALITY SCORE 1..100 | 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.
| MTB | SAEF | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 85% |
| Stochastic ODDS (%) | 2 days ago 63% | 2 days ago 83% |
| Momentum ODDS (%) | 2 days ago 65% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 50% | 2 days ago 79% |
| TrendWeek ODDS (%) | 2 days ago 59% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 60% | 2 days ago 77% |
| Advances ODDS (%) | 8 days ago 61% | 19 days ago 80% |
| Declines ODDS (%) | 2 days ago 55% | 2 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 73% | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 63% | 2 days ago 78% |
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MTB and
Correlation & Price change
A.I.dvisor indicates that over the last year, MTB has been closely correlated with RF. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if MTB jumps, then RF could also see price increases.
| Ticker / NAME | Correlation To MTB | 1D Price Change % | ||
|---|---|---|---|---|
| MTB | 100% | -0.33% | ||
| RF - MTB | 90% Closely correlated | -0.23% | ||
| CFG - MTB | 90% Closely correlated | -0.49% | ||
| FNB - MTB | 90% Closely correlated | -0.12% | ||
| FITB - MTB | 90% Closely correlated | +0.24% | ||
| HBAN - MTB | 89% Closely correlated | -0.29% | ||
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SAEF and
Correlation & Price change
A.I.dvisor indicates that over the last year, SAEF has been loosely correlated with FTRE. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if SAEF jumps, then FTRE could also see price increases.
| Ticker / NAME | Correlation To SAEF | 1D Price Change % | ||
|---|---|---|---|---|
| SAEF | 100% | -1.07% | ||
| FTRE - SAEF | 45% Loosely correlated | -5.81% | ||
| MTB - SAEF | 8% Poorly correlated | -0.33% | ||
| KMX - SAEF | 8% Poorly correlated | -20.07% | ||
| REZI - SAEF | 7% Poorly correlated | +0.64% | ||
| PHIN - SAEF | 6% Poorly correlated | -0.43% | ||
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