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AFRM vs SOFI
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 AFRM is a StrongBuy and SOFI is a StrongBuy.
SOFI | ||
|---|---|---|
OUTLOOK RATING 1..100 | 70 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | |
PROFIT vs RISK RATING 1..100 | 98 | |
SMR RATING 1..100 | 9 | |
PRICE GROWTH RATING 1..100 | 77 | |
P/E GROWTH RATING 1..100 | 85 | |
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.
| AFRM | SOFI | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 85% | 1 day ago 85% |
| Momentum ODDS (%) | 1 day ago 90% | 2 days ago 86% |
| MACD ODDS (%) | 1 day ago 90% | N/A |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 83% |
| TrendMonth ODDS (%) | 1 day ago 85% | 1 day ago 84% |
| Advances ODDS (%) | 1 day ago 82% | 17 days ago 83% |
| Declines ODDS (%) | 11 days ago 86% | 1 day ago 82% |
| BollingerBands ODDS (%) | 1 day ago 81% | 1 day ago 90% |
| Aroon ODDS (%) | N/A | 1 day ago 86% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
AFRM’s FA Score shows that 1 FA rating(s) are green while SOFI’s FA Score has 1 green FA rating(s).
- AFRM’s FA Score: 1 green, 4 red.
- SOFI’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.
AFRM’s TA Score shows that 4 TA indicator(s) are bullish while SOFI’s TA Score has 3 bullish TA indicator(s).
- AFRM’s TA Score: 4 bullish, 3 bearish.
- SOFI’s TA Score: 3 bullish, 5 bearish.
Price Growth
AFRM (@Savings Banks) experienced а +9.54% price change this week, while SOFI (@Savings Banks) price change was -1.45% for the same time period.
The average weekly price growth across all stocks in the @Savings Banks industry was +1.61%. For the same industry, the average monthly price growth was -6.40%, and the average quarterly price growth was +1.60%.
Reported Earning Dates
AFRM is expected to report earnings on Nov 05, 2026.
SOFI is expected to report earnings on Oct 27, 2026.
Industries' Descriptions
@Savings Banks (+1.61% 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.
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AFRM and
Correlation & Price change
A.I.dvisor indicates that over the last year, AFRM has been closely correlated with COIN. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if AFRM jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To AFRM | 1D Price Change % | ||
|---|---|---|---|---|
| AFRM | 100% | +2.44% | ||
| COIN - AFRM | 81% Closely correlated | -3.61% | ||
| CLSK - AFRM | 71% Closely correlated | -7.73% | ||
| RIOT - AFRM | 70% Closely correlated | -9.17% | ||
| UPST - AFRM | 69% Closely correlated | +0.71% | ||
| SOFI - AFRM | 65% Loosely correlated | -0.32% | ||
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SOFI and
Correlation & Price change
A.I.dvisor indicates that over the last year, SOFI has been loosely correlated with UPST. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is some statistical probability that if SOFI jumps, then UPST could also see price increases.
| Ticker / NAME | Correlation To SOFI | 1D Price Change % | ||
|---|---|---|---|---|
| SOFI | 100% | -0.32% | ||
| UPST - SOFI | 66% Loosely correlated | +0.71% | ||
| AFRM - SOFI | 61% Loosely correlated | +2.44% | ||
| URI - SOFI | 60% Loosely correlated | +1.23% | ||
| HAPN - SOFI | 57% Loosely correlated | +1.12% | ||
| AER - SOFI | 55% Loosely correlated | +0.18% | ||
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