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FTAIM vs SLMBP
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 FTAIM is a Hold and SLMBP 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).
FTAIM’s FA Score shows that 1 FA rating(s) are green whileSLMBP’s FA Score has 2 green FA rating(s).
- FTAIM’s FA Score: 1 green, 4 red.
- SLMBP’s FA Score: 2 green, 3 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.
FTAIM’s TA Score shows that 5 TA indicator(s) are bullish while SLMBP’s TA Score has 4 bullish TA indicator(s).
- FTAIM’s TA Score: 5 bullish, 4 bearish.
- SLMBP’s TA Score: 4 bullish, 3 bearish.
Price Growth
FTAIM (@Finance/Rental/Leasing) experienced а +2.09% price change this week, while SLMBP (@Savings Banks) price change was +0.15% for the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was -1.70%. For the same industry, the average monthly price growth was -4.38%, and the average quarterly price growth was +1.39%.
The average weekly price growth across all stocks in the @Savings Banks industry was +0.07%. For the same industry, the average monthly price growth was -2.82%, and the average quarterly price growth was +11.93%.
Industries' Descriptions
@Finance/Rental/Leasing (-1.70% weekly)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).
@Savings Banks (+0.07% 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.
| FTAIM | SLMBP | FTAIM / SLMBP | |
| Capitalization | N/A | N/A | - |
| EBITDA | 1.05B | N/A | - |
| Gain YTD | 7.096 | 9.108 | 78% |
| P/E Ratio | N/A | N/A | - |
| Revenue | 2.14B | 1.76B | 122% |
| Total Cash | 302M | N/A | - |
| Total Debt | 3.45B | 6.41B | 54% |
SLMBP | ||
|---|---|---|
OUTLOOK RATING 1..100 | 69 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 1 Undervalued | |
PROFIT vs RISK RATING 1..100 | 5 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 53 | |
P/E GROWTH RATING 1..100 | 100 | |
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.
| FTAIM | SLMBP | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 3 days ago 40% | 3 days ago 29% |
| Momentum ODDS (%) | 3 days ago 28% | 3 days ago 35% |
| MACD ODDS (%) | 3 days ago 19% | 3 days ago 37% |
| TrendWeek ODDS (%) | 3 days ago 23% | 3 days ago 46% |
| TrendMonth ODDS (%) | 3 days ago 19% | 3 days ago 46% |
| Advances ODDS (%) | 3 days ago 18% | 4 days ago 47% |
| Declines ODDS (%) | 9 days ago 19% | 9 days ago 30% |
| BollingerBands ODDS (%) | 3 days ago 25% | N/A |
| Aroon ODDS (%) | 3 days ago 13% | 3 days ago 16% |
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FTAIM and
Correlation & Price change
A.I.dvisor indicates that over the last year, FTAIM has been loosely correlated with SLMBP. These tickers have moved in lockstep 34% of the time. This A.I.-generated data suggests there is some statistical probability that if FTAIM jumps, then SLMBP could also see price increases.
| Ticker / NAME | Correlation To FTAIM | 1D Price Change % | ||
|---|---|---|---|---|
| FTAIM | 100% | +1.26% | ||
| SLMBP - FTAIM | 34% Loosely correlated | -0.16% | ||
| CTOS - FTAIM | 28% Poorly correlated | +0.34% | ||
| FTAI - FTAIM | 21% Poorly correlated | -1.45% | ||
| FTAIN - FTAIM | 19% Poorly correlated | +0.51% | ||
| COF - FTAIM | 12% Poorly correlated | +0.63% | ||
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SLMBP and
Correlation & Price change
A.I.dvisor indicates that over the last year, SLMBP has been loosely correlated with OBDC. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if SLMBP jumps, then OBDC could also see price increases.
| Ticker / NAME | Correlation To SLMBP | 1D Price Change % | ||
|---|---|---|---|---|
| SLMBP | 100% | -0.16% | ||
| OBDC - SLMBP | 35% Loosely correlated | +0.25% | ||
| FTAIN - SLMBP | 34% Loosely correlated | +0.51% | ||
| RWAY - SLMBP | 33% Loosely correlated | +1.63% | ||
| OCSL - SLMBP | 29% Poorly correlated | +0.07% | ||
| GATX - SLMBP | 28% Poorly correlated | +0.79% | ||
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