| PHO | WOOD | PHO / WOOD | |
| Gain YTD | -4.179 | -5.700 | 73% |
| Net Assets | 1.97B | 250M | 789% |
| Total Expense Ratio | 0.59 | 0.40 | 147% |
| Turnover | 25.00 | 80.00 | 31% |
| Yield | 0.59 | 2.67 | 22% |
| Fund Existence | 21 years | 18 years | - |
| PHO | WOOD | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 79% | 4 days ago 88% |
| Stochastic ODDS (%) | 4 days ago 74% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 84% | 4 days ago 85% |
| MACD ODDS (%) | 4 days ago 85% | 4 days ago 82% |
| TrendWeek ODDS (%) | 4 days ago 81% | 4 days ago 81% |
| TrendMonth ODDS (%) | 4 days ago 79% | 4 days ago 77% |
| Advances ODDS (%) | 6 days ago 82% | 7 days ago 81% |
| Declines ODDS (%) | 14 days ago 80% | 5 days ago 85% |
| BollingerBands ODDS (%) | 4 days ago 77% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 80% | 4 days ago 82% |
A.I.dvisor indicates that over the last year, PHO has been closely correlated with PNR. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if PHO jumps, then PNR could also see price increases.
A.I.dvisor indicates that over the last year, WOOD has been closely correlated with SW. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if WOOD jumps, then SW could also see price increases.
| Ticker / NAME | Correlation To WOOD | 1D Price Change % | ||
|---|---|---|---|---|
| WOOD | 100% | +0.24% | ||
| SW - WOOD | 74% Closely correlated | +1.80% | ||
| IP - WOOD | 67% Closely correlated | +1.83% | ||
| WY - WOOD | 63% Loosely correlated | -0.04% | ||
| WFG - WOOD | 61% Loosely correlated | -0.27% | ||
| SLVM - WOOD | 57% Loosely correlated | +0.18% | ||
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