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 whileFTAIN’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.
FTAIM’s TA Score shows that 5 TA indicator(s) are bullish while FTAIN’s TA Score has 4 bullish TA indicator(s).
FTAIM (@Finance/Rental/Leasing) experienced а -0.18% price change this week, while FTAIN (@Finance/Rental/Leasing) price change was -0.01% for the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was +2.66%. For the same industry, the average monthly price growth was +5.34%, and the average quarterly price growth was +17.03%.
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).
FTAIM | FTAIN | FTAIM / FTAIN | |
Capitalization | N/A | N/A | - |
EBITDA | 1.05B | 1.05B | 100% |
Gain YTD | 5.574 | 2.620 | 213% |
P/E Ratio | N/A | N/A | - |
Revenue | 2.14B | 2.14B | 100% |
Total Cash | 302M | 302M | 100% |
Total Debt | 3.45B | 3.45B | 100% |
FTAIM | FTAIN | |
---|---|---|
RSI ODDS (%) | 5 days ago27% | 4 days ago41% |
Stochastic ODDS (%) | 4 days ago47% | 4 days ago28% |
Momentum ODDS (%) | 4 days ago25% | 4 days ago33% |
MACD ODDS (%) | 4 days ago32% | 4 days ago38% |
TrendWeek ODDS (%) | 4 days ago25% | 4 days ago30% |
TrendMonth ODDS (%) | 4 days ago21% | 4 days ago28% |
Advances ODDS (%) | 5 days ago19% | 7 days ago32% |
Declines ODDS (%) | 7 days ago20% | 5 days ago30% |
BollingerBands ODDS (%) | 4 days ago43% | 4 days ago36% |
Aroon ODDS (%) | 4 days ago15% | 4 days ago37% |
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% | -0.18% | ||
SLMBP - FTAIM | 34% Loosely correlated | -0.17% | ||
CTOS - FTAIM | 28% Poorly correlated | -2.39% | ||
FPAY - FTAIM | 22% Poorly correlated | +9.26% | ||
FTAI - FTAIM | 21% Poorly correlated | +1.07% | ||
FTAIN - FTAIM | 20% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, FTAIN has been loosely correlated with SLMBP. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if FTAIN jumps, then SLMBP could also see price increases.
Ticker / NAME | Correlation To FTAIN | 1D Price Change % | ||
---|---|---|---|---|
FTAIN | 100% | N/A | ||
SLMBP - FTAIN | 42% Loosely correlated | -0.17% | ||
RWAY - FTAIN | 30% Poorly correlated | -1.51% | ||
FTAI - FTAIN | 28% Poorly correlated | +1.07% | ||
AXP - FTAIN | 28% Poorly correlated | -1.22% | ||
AL - FTAIN | 27% Poorly correlated | -0.08% | ||
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