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).
OBDC’s FA Score shows that 3 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.
OBDC’s TA Score shows that 4 TA indicator(s) are bullish.
OBDC (@Finance/Rental/Leasing) experienced а -2.01% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was -5.00%. For the same industry, the average monthly price growth was -2.82%, and the average quarterly price growth was +19.53%.
OBDC is expected to report earnings on Feb 19, 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).
OBDC | WBIG | |
---|---|---|
RSI ODDS (%) | 2 days ago40% | 2 days ago75% |
Stochastic ODDS (%) | 2 days ago59% | 2 days ago78% |
Momentum ODDS (%) | 2 days ago42% | 2 days ago68% |
MACD ODDS (%) | 2 days ago43% | 2 days ago72% |
TrendWeek ODDS (%) | 2 days ago42% | 2 days ago72% |
TrendMonth ODDS (%) | 2 days ago42% | 2 days ago71% |
Advances ODDS (%) | 9 days ago50% | 23 days ago78% |
Declines ODDS (%) | 7 days ago40% | 2 days ago69% |
BollingerBands ODDS (%) | N/A | 2 days ago74% |
Aroon ODDS (%) | 2 days ago39% | 2 days ago77% |
1 Day | |||
---|---|---|---|
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OACP | 22.77 | N/A | +0.02% |
OneAscent Core Plus Bond ETF | |||
MKOR | 22.82 | -0.07 | -0.29% |
Matthews Korea Active ETF | |||
QQQS | 29.54 | -0.14 | -0.47% |
Invesco NASDAQ Future Gen 200 ETF | |||
GSSC | 72.86 | -0.73 | -0.99% |
Goldman Sachs ActiveBeta® US SmCp Eq ETF | |||
DON | 52.51 | -0.57 | -1.07% |
WisdomTree US MidCap Dividend ETF |
A.I.dvisor indicates that over the last year, OBDC has been loosely correlated with BBDC. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if OBDC jumps, then BBDC could also see price increases.
Ticker / NAME | Correlation To OBDC | 1D Price Change % | ||
---|---|---|---|---|
OBDC | 100% | +0.07% | ||
BBDC - OBDC | 60% Loosely correlated | -0.73% | ||
AXP - OBDC | 46% Loosely correlated | -0.73% | ||
SYF - OBDC | 46% Loosely correlated | -1.98% | ||
OCSL - OBDC | 46% Loosely correlated | -0.26% | ||
ENVA - OBDC | 44% Loosely correlated | -2.49% | ||
More |
A.I.dvisor indicates that over the last year, WBIG has been loosely correlated with OMF. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if WBIG jumps, then OMF could also see price increases.
Ticker / NAME | Correlation To WBIG | 1D Price Change % | ||
---|---|---|---|---|
WBIG | 100% | -0.61% | ||
OMF - WBIG | 55% Loosely correlated | -3.50% | ||
CARR - WBIG | 51% Loosely correlated | -1.83% | ||
OBDC - WBIG | 50% Loosely correlated | +0.07% | ||
TW - WBIG | 27% Poorly correlated | -0.19% | ||
VTRS - WBIG | 22% Poorly correlated | +0.48% | ||
More |