| LBO | VFH | LBO / VFH | |
| Gain YTD | -7.017 | -0.921 | 762% |
| Net Assets | 6.87M | 14.7B | 0% |
| Total Expense Ratio | 6.71 | 0.09 | 7,456% |
| Turnover | 11.00 | 5.00 | 220% |
| Yield | 7.23 | 1.59 | 456% |
| Fund Existence | 2 years | 22 years | - |
| LBO | VFH | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 71% | 2 days ago 70% |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 74% |
| Momentum ODDS (%) | 2 days ago 67% | 2 days ago 87% |
| MACD ODDS (%) | 2 days ago 44% | 2 days ago 79% |
| TrendWeek ODDS (%) | 2 days ago 61% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 67% | 2 days ago 78% |
| Advances ODDS (%) | 22 days ago 77% | 15 days ago 84% |
| Declines ODDS (%) | 3 days ago 67% | 9 days ago 79% |
| BollingerBands ODDS (%) | 2 days ago 80% | 2 days ago 88% |
| Aroon ODDS (%) | N/A | 2 days ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RSPR | 34.45 | 0.58 | +1.71% |
| Invesco S&P 500® Equal Wt Real Estt ETF | |||
| IBTO | 24.40 | N/A | -0.01% |
| iShares iBonds Dec 2033 Term Trsy ETF | |||
| BNGE | 33.09 | -0.56 | -1.67% |
| First Trust S-Network Strmng & Gmng ETF | |||
| CQQQ | 52.50 | -1.72 | -3.17% |
| Invesco China Technology ETF | |||
| ORCX | 9.48 | -1.08 | -10.23% |
| Defiance Daily Target 2X Long ORCL ETF | |||
A.I.dvisor tells us that LBO and OWL have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that LBO and OWL's prices will move in lockstep.
| Ticker / NAME | Correlation To LBO | 1D Price Change % | ||
|---|---|---|---|---|
| LBO | 100% | +1.64% | ||
| OWL - LBO | 22% Poorly correlated | -0.41% | ||
| FSK - LBO | 21% Poorly correlated | +1.06% | ||
| GBDC - LBO | 21% Poorly correlated | +2.11% | ||
| BCSF - LBO | 21% Poorly correlated | +4.04% | ||
| NMFC - LBO | 20% Poorly correlated | N/A | ||
More | ||||
A.I.dvisor indicates that over the last year, VFH has been closely correlated with GS. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if VFH jumps, then GS could also see price increases.