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).
SOFI’s FA Score shows that 1 FA rating(s) are green whileUPST’s FA Score has 0 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.
SOFI’s TA Score shows that 4 TA indicator(s) are bullish while UPST’s TA Score has 6 bullish TA indicator(s).
SOFI (@Savings Banks) experienced а +4.10% price change this week, while UPST (@Savings Banks) price change was -13.20% for the same time period.
The average weekly price growth across all stocks in the @Savings Banks industry was -0.19%. For the same industry, the average monthly price growth was +0.07%, and the average quarterly price growth was +19.73%.
SOFI is expected to report earnings on Nov 04, 2025.
UPST is expected to report earnings on Nov 11, 2025.
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.
SOFI | UPST | SOFI / UPST | |
Capitalization | 26.8B | 6.62B | 405% |
EBITDA | N/A | N/A | - |
Gain YTD | 45.584 | 11.678 | 390% |
P/E Ratio | 44.84 | N/A | - |
Revenue | 2.8B | 714M | 392% |
Total Cash | N/A | N/A | - |
Total Debt | 3.14B | 1.38B | 227% |
SOFI | UPST | |
---|---|---|
RSI ODDS (%) | 4 days ago86% | 4 days ago90% |
Stochastic ODDS (%) | 4 days ago87% | 4 days ago90% |
Momentum ODDS (%) | 4 days ago82% | 4 days ago90% |
MACD ODDS (%) | 4 days ago80% | 4 days ago74% |
TrendWeek ODDS (%) | 4 days ago82% | 4 days ago88% |
TrendMonth ODDS (%) | 4 days ago82% | 4 days ago88% |
Advances ODDS (%) | 4 days ago84% | 20 days ago88% |
Declines ODDS (%) | 6 days ago83% | 6 days ago90% |
BollingerBands ODDS (%) | 4 days ago70% | 4 days ago90% |
Aroon ODDS (%) | 4 days ago83% | 4 days ago88% |
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A.I.dvisor indicates that over the last year, SOFI has been closely correlated with OMF. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if SOFI jumps, then OMF could also see price increases.
Ticker / NAME | Correlation To SOFI | 1D Price Change % | ||
---|---|---|---|---|
SOFI | 100% | +1.45% | ||
OMF - SOFI | 68% Closely correlated | -0.34% | ||
ENVA - SOFI | 66% Closely correlated | +1.13% | ||
SYF - SOFI | 64% Loosely correlated | +0.24% | ||
AL - SOFI | 63% Loosely correlated | -0.24% | ||
COF - SOFI | 62% Loosely correlated | +0.01% | ||
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A.I.dvisor indicates that over the last year, UPST has been loosely correlated with SOFI. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if UPST jumps, then SOFI could also see price increases.
Ticker / NAME | Correlation To UPST | 1D Price Change % | ||
---|---|---|---|---|
UPST | 100% | -1.11% | ||
SOFI - UPST | 60% Loosely correlated | +0.09% | ||
SEZL - UPST | 56% Loosely correlated | -34.32% | ||
LC - UPST | 51% Loosely correlated | -2.03% | ||
R - UPST | 50% Loosely correlated | +1.09% | ||
SYF - UPST | 49% Loosely correlated | +1.43% | ||
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