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).
FITBO’s FA Score shows that 1 FA rating(s) are green while.
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.
FITBO’s TA Score shows that 4 TA indicator(s) are bullish.
FITBO (@Regional Banks) experienced а -4.81% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -0.19%. For the same industry, the average monthly price growth was -3.93%, and the average quarterly price growth was +0.96%.
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.
FITBO | PGF | |
---|---|---|
RSI ODDS (%) | 1 day ago61% | 3 days ago74% |
Stochastic ODDS (%) | 1 day ago41% | 3 days ago76% |
Momentum ODDS (%) | 1 day ago40% | 3 days ago62% |
MACD ODDS (%) | 1 day ago45% | 3 days ago66% |
TrendWeek ODDS (%) | 1 day ago45% | 3 days ago69% |
TrendMonth ODDS (%) | 1 day ago47% | 3 days ago66% |
Advances ODDS (%) | 27 days ago44% | 4 days ago69% |
Declines ODDS (%) | 1 day ago47% | 6 days ago70% |
BollingerBands ODDS (%) | 1 day ago51% | 3 days ago86% |
Aroon ODDS (%) | 1 day ago44% | 3 days ago75% |
A.I.dvisor indicates that over the last year, FITBO has been closely correlated with HBANP. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if FITBO jumps, then HBANP could also see price increases.
Ticker / NAME | Correlation To FITBO | 1D Price Change % | ||
---|---|---|---|---|
FITBO | 100% | -1.40% | ||
HBANP - FITBO | 69% Closely correlated | -1.05% | ||
FCNCO - FITBO | 58% Loosely correlated | -1.43% | ||
FITBP - FITBO | 57% Loosely correlated | +0.38% | ||
OZKAP - FITBO | 56% Loosely correlated | -2.53% | ||
FCNCP - FITBO | 52% Loosely correlated | -0.93% | ||
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A.I.dvisor indicates that over the last year, PGF has been closely correlated with ACGLO. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if PGF jumps, then ACGLO could also see price increases.
Ticker / NAME | Correlation To PGF | 1D Price Change % | ||
---|---|---|---|---|
PGF | 100% | -0.65% | ||
ACGLO - PGF | 82% Closely correlated | -1.45% | ||
ACGLN - PGF | 81% Closely correlated | -1.19% | ||
NTRSO - PGF | 80% Closely correlated | -1.64% | ||
HBANP - PGF | 79% Closely correlated | -1.05% | ||
BHFAM - PGF | 73% Closely correlated | -2.55% | ||
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