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OMF vs PFI
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 OMF is a StrongBuy and PFI 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).
OMF’s FA Score shows that 3 FA rating(s) are green while.
- OMF’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.
OMF’s TA Score shows that 3 TA indicator(s) are bullish.
- OMF’s TA Score: 3 bullish, 5 bearish.
Price Growth
OMF (@Savings Banks) experienced а +1.49% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Savings Banks industry was -0.66%. For the same industry, the average monthly price growth was +0.32%, and the average quarterly price growth was +3.34%.
Reported Earning Dates
OMF is expected to report earnings on Jan 29, 2026.
Industries' Descriptions
@Savings Banks (-0.66% weekly)A savings bank primary function is to take deposits and paying interest on those deposits. Originating in Europe during the 18th century, these banks were generally introduced to incentivize people of all stripes to save money and park them with banks. By the 1990s, the internet ushered in online savings banks that allowed savers to deposit/transact with banks digitally, without requiring to visit a branch office. Savings banks have potentially encouraged lower-income population to save and have access to a financial institution to earn interest on their money. New York Community Bancorp, Inc, Webster Financial Corporation, Washington Federal, Inc. are examples of savings banks.
OMF | ||
|---|---|---|
OUTLOOK RATING 1..100 | 40 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 33 Fair valued | |
PROFIT vs RISK RATING 1..100 | 19 | |
SMR RATING 1..100 | 8 | |
PRICE GROWTH RATING 1..100 | 41 | |
P/E GROWTH RATING 1..100 | 48 | |
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.
| OMF | PFI | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 83% | 3 days ago 79% |
| Stochastic ODDS (%) | 3 days ago 65% | 3 days ago 76% |
| Momentum ODDS (%) | 3 days ago 71% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 74% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 68% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 65% | 3 days ago 84% |
| Advances ODDS (%) | 9 days ago 65% | 3 days ago 85% |
| Declines ODDS (%) | 12 days ago 68% | 12 days ago 80% |
| BollingerBands ODDS (%) | 3 days ago 76% | N/A |
| Aroon ODDS (%) | 3 days ago 63% | 3 days ago 76% |
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OMF and
Correlation & Price change
A.I.dvisor indicates that over the last year, OMF has been closely correlated with SYF. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if OMF jumps, then SYF could also see price increases.
PFI and
Correlation & Price change
A.I.dvisor indicates that over the last year, PFI has been closely correlated with PIPR. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if PFI jumps, then PIPR could also see price increases.
| Ticker / NAME | Correlation To PFI | 1D Price Change % | ||
|---|---|---|---|---|
| PFI | 100% | +0.35% | ||
| PIPR - PFI | 83% Closely correlated | +0.08% | ||
| ARES - PFI | 81% Closely correlated | +0.19% | ||
| PFG - PFI | 81% Closely correlated | +0.08% | ||
| OMF - PFI | 81% Closely correlated | +0.41% | ||
| EQH - PFI | 79% Closely correlated | -0.39% | ||
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