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PB vs REGL
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 PB is a StrongBuy and REGL 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).
PB’s FA Score shows that 1 FA rating(s) are green while.
- PB’s FA Score: 1 green, 4 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.
PB’s TA Score shows that 4 TA indicator(s) are bullish.
- PB’s TA Score: 4 bullish, 5 bearish.
Price Growth
PB (@Regional Banks) experienced а -1.17% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.01%. For the same industry, the average monthly price growth was +5.44%, and the average quarterly price growth was +15.56%.
Reported Earning Dates
PB is expected to report earnings on Jan 28, 2026.
Industries' Descriptions
@Regional Banks (+0.01% 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.
PB | ||
|---|---|---|
OUTLOOK RATING 1..100 | 10 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 84 Overvalued | |
PROFIT vs RISK RATING 1..100 | 58 | |
SMR RATING 1..100 | 12 | |
PRICE GROWTH RATING 1..100 | 53 | |
P/E GROWTH RATING 1..100 | 78 | |
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.
| PB | REGL | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 59% | 3 days ago 89% |
| Stochastic ODDS (%) | 3 days ago 52% | 3 days ago 74% |
| Momentum ODDS (%) | 3 days ago 65% | 3 days ago 84% |
| MACD ODDS (%) | 3 days ago 69% | 3 days ago 75% |
| TrendWeek ODDS (%) | 3 days ago 57% | 3 days ago 77% |
| TrendMonth ODDS (%) | 3 days ago 48% | 3 days ago 77% |
| Advances ODDS (%) | 5 days ago 50% | 16 days ago 82% |
| Declines ODDS (%) | 12 days ago 60% | 3 days ago 77% |
| BollingerBands ODDS (%) | 3 days ago 72% | 3 days ago 77% |
| Aroon ODDS (%) | 3 days ago 44% | 3 days ago 73% |
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PB and
Correlation & Price change
A.I.dvisor indicates that over the last year, PB has been closely correlated with HWC. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if PB jumps, then HWC could also see price increases.
REGL and
Correlation & Price change
A.I.dvisor indicates that over the last year, REGL has been closely correlated with GGG. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if REGL jumps, then GGG could also see price increases.
| Ticker / NAME | Correlation To REGL | 1D Price Change % | ||
|---|---|---|---|---|
| REGL | 100% | -0.54% | ||
| GGG - REGL | 84% Closely correlated | +0.17% | ||
| UBSI - REGL | 80% Closely correlated | +0.08% | ||
| PB - REGL | 80% Closely correlated | +0.42% | ||
| CBSH - REGL | 79% Closely correlated | -0.34% | ||
| IBOC - REGL | 78% Closely correlated | -0.07% | ||
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