| LIT | WOOD | LIT / WOOD | |
| Gain YTD | 9.163 | -1.023 | -895% |
| Net Assets | 1.47B | 267M | 551% |
| Total Expense Ratio | 0.75 | 0.39 | 192% |
| Turnover | 51.63 | 65.00 | 79% |
| Yield | 0.66 | 2.35 | 28% |
| Fund Existence | 16 years | 18 years | - |
| LIT | WOOD | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 89% | N/A |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 80% |
| Momentum ODDS (%) | 2 days ago 87% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 81% | 5 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 87% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 80% |
| Advances ODDS (%) | 27 days ago 84% | 3 days ago 81% |
| Declines ODDS (%) | 6 days ago 89% | 10 days ago 84% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 79% |
| Aroon ODDS (%) | 2 days ago 87% | 2 days ago 83% |
A.I.dvisor indicates that over the last year, LIT has been closely correlated with ALB. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if LIT jumps, then ALB could also see price increases.
A.I.dvisor tells us that WOOD and MERC have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WOOD and MERC's prices will move in lockstep.
| Ticker / NAME | Correlation To WOOD | 1D Price Change % | ||
|---|---|---|---|---|
| WOOD | 100% | -1.36% | ||
| MERC - WOOD | 32% Poorly correlated | -1.87% | ||
| SLVM - WOOD | 12% Poorly correlated | -3.34% | ||
| WY - WOOD | 8% Poorly correlated | -2.03% | ||
| SAP - WOOD | 8% Poorly correlated | -1.97% | ||
| CLW - WOOD | 7% Poorly correlated | -0.52% | ||
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