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).
GHLD’s FA Score shows that 1 FA rating(s) are green whileSEZL’s FA Score has 2 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.
GHLD’s TA Score shows that 4 TA indicator(s) are bullish while SEZL’s TA Score has 4 bullish TA indicator(s).
GHLD (@Finance/Rental/Leasing) experienced а -3.10% price change this week, while SEZL (@Finance/Rental/Leasing) price change was +48.60% for the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was +0.36%. For the same industry, the average monthly price growth was +5.33%, and the average quarterly price growth was +20.26%.
GHLD is expected to report earnings on Mar 06, 2025.
SEZL is expected to report earnings on Nov 08, 2024.
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).
GHLD | SEZL | GHLD / SEZL | |
Capitalization | 903M | 476M | 190% |
EBITDA | N/A | 24.5M | - |
Gain YTD | 3.358 | 1713.840 | 0% |
P/E Ratio | 21.85 | 54.63 | 40% |
Revenue | 664M | 159M | 418% |
Total Cash | N/A | 67.6M | - |
Total Debt | 527M | 95.7M | 551% |
GHLD | SEZL | |
---|---|---|
RSI ODDS (%) | 1 day ago74% | 1 day ago79% |
Stochastic ODDS (%) | 1 day ago82% | 1 day ago65% |
Momentum ODDS (%) | 1 day ago75% | 1 day ago90% |
MACD ODDS (%) | 1 day ago69% | 1 day ago90% |
TrendWeek ODDS (%) | 1 day ago79% | 1 day ago90% |
TrendMonth ODDS (%) | 1 day ago76% | 1 day ago90% |
Advances ODDS (%) | N/A | 8 days ago0% |
Declines ODDS (%) | 1 day ago78% | 4 days ago79% |
BollingerBands ODDS (%) | 1 day ago69% | 1 day ago73% |
Aroon ODDS (%) | 1 day ago80% | 1 day ago90% |
A.I.dvisor tells us that GHLD and PYPL have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GHLD and PYPL's prices will move in lockstep.
Ticker / NAME | Correlation To GHLD | 1D Price Change % | ||
---|---|---|---|---|
GHLD | 100% | -0.99% | ||
PYPL - GHLD | 21% Poorly correlated | -1.74% | ||
SEZL - GHLD | 21% Poorly correlated | -2.59% | ||
WSC - GHLD | 20% Poorly correlated | -5.36% | ||
LDI - GHLD | 16% Poorly correlated | -1.54% | ||
RKT - GHLD | 13% Poorly correlated | -3.33% | ||
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A.I.dvisor indicates that over the last year, SEZL has been loosely correlated with UPST. 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 UPST could also see price increases.
Ticker / NAME | Correlation To SEZL | 1D Price Change % | ||
---|---|---|---|---|
SEZL | 100% | -2.59% | ||
UPST - SEZL | 38% Loosely correlated | -0.61% | ||
ECPG - SEZL | 37% Loosely correlated | -1.08% | ||
ATLC - SEZL | 26% Poorly correlated | +6.54% | ||
NNI - SEZL | 25% Poorly correlated | -0.66% | ||
UHAL - SEZL | 24% Poorly correlated | -1.05% | ||
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