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NU vs SFYF
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 NU is a Hold and SFYF 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).
NU’s FA Score shows that 1 FA rating(s) are green while.
- NU’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.
NU’s TA Score shows that 4 TA indicator(s) are bullish.
- NU’s TA Score: 4 bullish, 3 bearish.
Price Growth
NU (@Regional Banks) experienced а +10.04% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +1.33%. For the same industry, the average monthly price growth was +2.87%, and the average quarterly price growth was +12.20%.
Reported Earning Dates
NU is expected to report earnings on Aug 18, 2026.
Industries' Descriptions
@Regional Banks (+1.33% 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.
| NU | SFYF | |
|---|---|---|
| RSI ODDS (%) | N/A | 3 days ago 85% |
| Stochastic ODDS (%) | 3 days ago 81% | 3 days ago 74% |
| Momentum ODDS (%) | 3 days ago 81% | 3 days ago 83% |
| MACD ODDS (%) | 3 days ago 55% | 3 days ago 88% |
| TrendWeek ODDS (%) | 3 days ago 81% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 78% | 3 days ago 86% |
| Advances ODDS (%) | 3 days ago 77% | 4 days ago 85% |
| Declines ODDS (%) | 5 days ago 67% | 19 days ago 81% |
| BollingerBands ODDS (%) | 3 days ago 70% | 3 days ago 76% |
| Aroon ODDS (%) | 3 days ago 72% | 3 days ago 84% |
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NU and
Correlation & Price change
A.I.dvisor indicates that over the last year, NU has been loosely correlated with BBD. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if NU jumps, then BBD could also see price increases.
SFYF and
Correlation & Price change
A.I.dvisor indicates that over the last year, SFYF has been closely correlated with TSM. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if SFYF jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To SFYF | 1D Price Change % | ||
|---|---|---|---|---|
| SFYF | 100% | -0.28% | ||
| TSM - SFYF | 69% Closely correlated | -0.96% | ||
| XYZ - SFYF | 52% Loosely correlated | -0.25% | ||
| SNAP - SFYF | 46% Loosely correlated | +2.08% | ||
| DAL - SFYF | 45% Loosely correlated | -2.15% | ||
| NU - SFYF | 43% Loosely correlated | +9.33% | ||
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