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).
IFS’s FA Score shows that 2 FA rating(s) are green whileRF’s FA Score has 4 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.
IFS’s TA Score shows that 4 TA indicator(s) are bullish while RF’s TA Score has 4 bullish TA indicator(s).
IFS (@Regional Banks) experienced а +3.28% price change this week, while RF (@Regional Banks) price change was +1.79% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.42%. For the same industry, the average monthly price growth was +5.19%, and the average quarterly price growth was +19.94%.
IFS is expected to report earnings on Feb 17, 2025.
RF is expected to report earnings on Jan 17, 2025.
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.
IFS | RF | IFS / RF | |
Capitalization | 2.77B | 18.9B | 15% |
EBITDA | N/A | N/A | - |
Gain YTD | 38.177 | 43.067 | 89% |
P/E Ratio | 9.76 | 9.74 | 100% |
Revenue | 6.82B | 7.57B | 90% |
Total Cash | N/A | 1.55B | - |
Total Debt | 10.4B | 2.33B | 446% |
IFS | RF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 22 | 81 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 47 Fair valued | 82 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 22 | |
SMR RATING 1..100 | 7 | 7 | |
PRICE GROWTH RATING 1..100 | 40 | 7 | |
P/E GROWTH RATING 1..100 | 19 | 9 | |
SEASONALITY SCORE 1..100 | 85 | 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.
IFS's Valuation (47) in the null industry is somewhat better than the same rating for RF (82) in the Major Banks industry. This means that IFS’s stock grew somewhat faster than RF’s over the last 12 months.
RF's Profit vs Risk Rating (22) in the Major Banks industry is significantly better than the same rating for IFS (100) in the null industry. This means that RF’s stock grew significantly faster than IFS’s over the last 12 months.
RF's SMR Rating (7) in the Major Banks industry is in the same range as IFS (7) in the null industry. This means that RF’s stock grew similarly to IFS’s over the last 12 months.
RF's Price Growth Rating (7) in the Major Banks industry is somewhat better than the same rating for IFS (40) in the null industry. This means that RF’s stock grew somewhat faster than IFS’s over the last 12 months.
RF's P/E Growth Rating (9) in the Major Banks industry is in the same range as IFS (19) in the null industry. This means that RF’s stock grew similarly to IFS’s over the last 12 months.
IFS | RF | |
---|---|---|
RSI ODDS (%) | 1 day ago60% | 1 day ago58% |
Stochastic ODDS (%) | 1 day ago69% | 1 day ago59% |
Momentum ODDS (%) | 1 day ago74% | 1 day ago77% |
MACD ODDS (%) | 1 day ago70% | 1 day ago72% |
TrendWeek ODDS (%) | 1 day ago70% | 1 day ago65% |
TrendMonth ODDS (%) | 1 day ago71% | 1 day ago67% |
Advances ODDS (%) | 1 day ago72% | 8 days ago63% |
Declines ODDS (%) | 17 days ago70% | 4 days ago68% |
BollingerBands ODDS (%) | 1 day ago63% | 1 day ago73% |
Aroon ODDS (%) | 1 day ago58% | 1 day ago64% |
A.I.dvisor indicates that over the last year, IFS has been loosely correlated with BAP. These tickers have moved in lockstep 40% of the time. This A.I.-generated data suggests there is some statistical probability that if IFS jumps, then BAP could also see price increases.
Ticker / NAME | Correlation To IFS | 1D Price Change % | ||
---|---|---|---|---|
IFS | 100% | +0.14% | ||
BAP - IFS | 40% Loosely correlated | +3.01% | ||
SBNY - IFS | 32% Poorly correlated | -4.00% | ||
MCB - IFS | 26% Poorly correlated | +0.94% | ||
RRBI - IFS | 26% Poorly correlated | +0.84% | ||
RF - IFS | 25% Poorly correlated | +1.83% | ||
More |
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.