GNR | WOOD | GNR / WOOD | |
Gain YTD | 7.094 | 3.550 | 200% |
Net Assets | 2.79B | 247M | 1,131% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 15.00 | 29.00 | 52% |
Yield | 3.30 | 1.58 | 209% |
Fund Existence | 14 years | 17 years | - |
GNR | WOOD | |
---|---|---|
RSI ODDS (%) | 4 days ago86% | 4 days ago86% |
Stochastic ODDS (%) | 4 days ago90% | 4 days ago88% |
Momentum ODDS (%) | 4 days ago90% | 4 days ago89% |
MACD ODDS (%) | 4 days ago90% | 4 days ago90% |
TrendWeek ODDS (%) | 4 days ago82% | 4 days ago83% |
TrendMonth ODDS (%) | 4 days ago84% | 4 days ago79% |
Advances ODDS (%) | 7 days ago83% | 7 days ago87% |
Declines ODDS (%) | 22 days ago84% | 14 days ago84% |
BollingerBands ODDS (%) | 4 days ago81% | 7 days ago85% |
Aroon ODDS (%) | 4 days ago86% | 4 days ago85% |
A.I.dvisor indicates that over the last year, GNR has been closely correlated with FCX. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if GNR jumps, then FCX could also see price increases.
A.I.dvisor indicates that over the last year, WOOD has been closely correlated with WY. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if WOOD jumps, then WY could also see price increases.
Ticker / NAME | Correlation To WOOD | 1D Price Change % | ||
---|---|---|---|---|
WOOD | 100% | -1.31% | ||
WY - WOOD | 67% Closely correlated | -0.87% | ||
PCH - WOOD | 63% Loosely correlated | -0.77% | ||
WFG - WOOD | 56% Loosely correlated | -1.73% | ||
RYN - WOOD | 55% Loosely correlated | -0.92% | ||
MERC - WOOD | 51% Loosely correlated | +16.87% | ||
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