RF vs XLF
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 RF is a Hold and XLF is a Buy.
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).
RF’s FA Score shows that 3 FA rating(s) are green while.
- RF’s FA Score: 3 green, 2 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.
RF’s TA Score shows that 4 TA indicator(s) are bullish.
- RF’s TA Score: 4 bullish, 6 bearish.
Price Growth
RF (@Regional Banks) experienced а -2.40% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -1.69%. For the same industry, the average monthly price growth was -1.78%, and the average quarterly price growth was +19.01%.
Reported Earning Dates
RF is expected to report earnings on Jan 17, 2025.
Industries' Descriptions
@Regional Banks (-1.69% 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.
RF | ||
|---|---|---|
OUTLOOK RATING 1..100 | 68 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 77 Overvalued | |
PROFIT vs RISK RATING 1..100 | 27 | |
SMR RATING 1..100 | 7 | |
PRICE GROWTH RATING 1..100 | 47 | |
P/E GROWTH RATING 1..100 | 18 | |
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.
| RF | XLF | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 67% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 69% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 66% | 1 day ago 78% |
| MACD ODDS (%) | 1 day ago 58% | 1 day ago 82% |
| TrendWeek ODDS (%) | 1 day ago 69% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 67% | 1 day ago 81% |
| Advances ODDS (%) | 1 day ago 64% | 1 day ago 86% |
| Declines ODDS (%) | 7 days ago 68% | 8 days ago 80% |
| BollingerBands ODDS (%) | 1 day ago 78% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 61% | 1 day ago 86% |
| 1 Day | |||
|---|---|---|---|
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RF and
Correlation & Price change
A.I.dvisor indicates that over the last year, RF has been closely correlated with HBAN. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if RF jumps, then HBAN could also see price increases.
XLF and
Correlation & Price change
A.I.dvisor indicates that over the last year, XLF has been closely correlated with JPM. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if XLF jumps, then JPM could also see price increases.