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).
AER’s FA Score shows that 0 FA rating(s) are green whileSEZL’s FA Score has 1 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.
AER’s TA Score shows that 4 TA indicator(s) are bullish while SEZL’s TA Score has 4 bullish TA indicator(s).
AER (@Finance/Rental/Leasing) experienced а -2.31% price change this week, while SEZL (@Finance/Rental/Leasing) price change was -18.70% for the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was -0.92%. For the same industry, the average monthly price growth was -1.42%, and the average quarterly price growth was +20.50%.
AER is expected to report earnings on Feb 13, 2025.
SEZL is expected to report earnings on Feb 26, 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).
AER | SEZL | AER / SEZL | |
Capitalization | 17.6B | 476M | 3,697% |
EBITDA | 4.55B | 24.5M | 18,563% |
Gain YTD | 28.927 | 1196.150 | 2% |
P/E Ratio | 6.22 | 54.63 | 11% |
Revenue | 7.58B | 159M | 4,764% |
Total Cash | 1.63B | 67.6M | 2,407% |
Total Debt | 46.6B | 95.7M | 48,694% |
AER | ||
---|---|---|
OUTLOOK RATING 1..100 | 17 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 67 Overvalued | |
PROFIT vs RISK RATING 1..100 | 43 | |
SMR RATING 1..100 | 55 | |
PRICE GROWTH RATING 1..100 | 50 | |
P/E GROWTH RATING 1..100 | 46 | |
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.
AER | SEZL | |
---|---|---|
RSI ODDS (%) | 1 day ago70% | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago90% | 1 day ago90% |
Momentum ODDS (%) | 1 day ago64% | 1 day ago80% |
MACD ODDS (%) | 1 day ago65% | 1 day ago75% |
TrendWeek ODDS (%) | 1 day ago66% | 1 day ago76% |
TrendMonth ODDS (%) | 1 day ago69% | 1 day ago87% |
Advances ODDS (%) | 1 day ago75% | 5 days ago90% |
Declines ODDS (%) | 7 days ago67% | 7 days ago75% |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago79% | 1 day ago78% |
A.I.dvisor indicates that over the last year, AER has been closely correlated with AL. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if AER jumps, then AL could also see price increases.
Ticker / NAME | Correlation To AER | 1D Price Change % | ||
---|---|---|---|---|
AER | 100% | +0.55% | ||
AL - AER | 71% Closely correlated | +0.08% | ||
URI - AER | 55% Loosely correlated | -0.42% | ||
FTAI - AER | 52% Loosely correlated | -4.08% | ||
AXP - AER | 52% Loosely correlated | +0.05% | ||
HEES - AER | 50% Loosely correlated | +0.84% | ||
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A.I.dvisor indicates that over the last year, SEZL has been loosely correlated with ECPG. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if SEZL jumps, then ECPG could also see price increases.
Ticker / NAME | Correlation To SEZL | 1D Price Change % | ||
---|---|---|---|---|
SEZL | 100% | -1.91% | ||
ECPG - SEZL | 38% Loosely correlated | -0.15% | ||
UPST - SEZL | 38% Loosely correlated | -0.58% | ||
AL - SEZL | 30% Poorly correlated | +0.08% | ||
AER - SEZL | 29% Poorly correlated | +0.55% | ||
URI - SEZL | 29% Poorly correlated | -0.42% | ||
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