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).
SLM’s FA Score shows that 4 FA rating(s) are green while.
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.
SLM’s TA Score shows that 4 TA indicator(s) are bullish.
SLM (@Finance/Rental/Leasing) experienced а -2.39% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was -1.42%. For the same industry, the average monthly price growth was +1.34%, and the average quarterly price growth was +24.27%.
SLM is expected to report earnings on Apr 23, 2025.
A leasing company (e.g. United Rentals, Inc. ) is typically the legal owner of the asset for the duration of the lease, while the lessee has operating control over the asset while also having some share of the economic risks and returns from the change in the valuation of the underlying asset. Per capita disposable income and corporate earnings or cash flow could be some of the critical metrics for this business – the higher the values of these metrics, the potentially greater ability of consumers/businesses to afford apartments/office spaces for rent. Other finance companies include credit/debit card payment processing companies (e.g. Visa Inc. and Mastercard), private label credit cards providers (e.g. Synchrony Financial) and automobile finance companies (e.g. Credit Acceptance Corporation).
SLM | ||
---|---|---|
OUTLOOK RATING 1..100 | 30 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 29 Undervalued | |
PROFIT vs RISK RATING 1..100 | 10 | |
SMR RATING 1..100 | 10 | |
PRICE GROWTH RATING 1..100 | 39 | |
P/E GROWTH RATING 1..100 | 19 | |
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.
SLM | |
---|---|
RSI ODDS (%) | 3 days ago53% |
Stochastic ODDS (%) | 3 days ago56% |
Momentum ODDS (%) | 3 days ago70% |
MACD ODDS (%) | 3 days ago72% |
TrendWeek ODDS (%) | 3 days ago74% |
TrendMonth ODDS (%) | 3 days ago78% |
Advances ODDS (%) | 6 days ago73% |
Declines ODDS (%) | 3 days ago60% |
BollingerBands ODDS (%) | 3 days ago50% |
Aroon ODDS (%) | 5 days ago84% |
1 Day | |||
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ETFs / NAME | Price $ | Chg $ | Chg % |
HFXI | 27.71 | -0.20 | -0.72% |
NYLI FTSE International Eq Ccy Netrl ETF | |||
EVUS | 29.91 | -0.34 | -1.12% |
iShares ESG Aware MSCI USA Value ETF | |||
CLSE | 22.67 | -0.54 | -2.33% |
Convergence Long/Short Equity ETF | |||
FTEC | 185.65 | -5.07 | -2.66% |
Fidelity MSCI Information Tech ETF | |||
MIDU | 50.67 | -3.93 | -7.20% |
Direxion Daily Mid Cap Bull 3X ETF |
A.I.dvisor indicates that over the last year, SLM has been closely correlated with COF. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLM jumps, then COF could also see price increases.
Ticker / NAME | Correlation To SLM | 1D Price Change % | ||
---|---|---|---|---|
SLM | 100% | -4.21% | ||
COF - SLM | 69% Closely correlated | -2.52% | ||
SYF - SLM | 68% Closely correlated | -3.82% | ||
ENVA - SLM | 68% Closely correlated | -2.77% | ||
NAVI - SLM | 66% Closely correlated | -0.36% | ||
OMF - SLM | 65% Loosely correlated | -3.27% | ||
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A.I.dvisor indicates that over the last year, STXE has been loosely correlated with SCCO. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if STXE jumps, then SCCO could also see price increases.
Ticker / NAME | Correlation To STXE | 1D Price Change % | ||
---|---|---|---|---|
STXE | 100% | -1.01% | ||
SCCO - STXE | 51% Loosely correlated | -5.02% | ||
ABG - STXE | 43% Loosely correlated | -3.89% | ||
AU - STXE | 42% Loosely correlated | -1.19% | ||
SLM - STXE | 40% Loosely correlated | -4.21% | ||
BAP - STXE | 40% Loosely correlated | -3.21% | ||
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