COPX | GMET | COPX / GMET | |
Gain YTD | 12.336 | 9.211 | 134% |
Net Assets | 1.89B | 18.2M | 10,407% |
Total Expense Ratio | 0.65 | 0.61 | 107% |
Turnover | 14.60 | 20.00 | 73% |
Yield | 1.68 | 1.83 | 92% |
Fund Existence | 15 years | 4 years | - |
COPX | |
---|---|
RSI ODDS (%) | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago84% |
Momentum ODDS (%) | 4 days ago90% |
MACD ODDS (%) | N/A |
TrendWeek ODDS (%) | 3 days ago86% |
TrendMonth ODDS (%) | 3 days ago88% |
Advances ODDS (%) | 20 days ago89% |
Declines ODDS (%) | 5 days ago87% |
BollingerBands ODDS (%) | 3 days ago83% |
Aroon ODDS (%) | 3 days ago87% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with FCX. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if COPX jumps, then FCX could also see price increases.
Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
---|---|---|---|---|
COPX | 100% | -1.22% | ||
FCX - COPX | 87% Closely correlated | -0.58% | ||
SCCO - COPX | 86% Closely correlated | -1.23% | ||
HBM - COPX | 85% Closely correlated | +0.83% | ||
ERO - COPX | 80% Closely correlated | -4.08% | ||
BHP - COPX | 73% Closely correlated | -2.53% | ||
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A.I.dvisor indicates that over the last year, GMET has been loosely correlated with LAR. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if GMET jumps, then LAR could also see price increases.
Ticker / NAME | Correlation To GMET | 1D Price Change % | ||
---|---|---|---|---|
GMET | 100% | -1.00% | ||
LAR - GMET | 62% Loosely correlated | -0.50% | ||
LAC - GMET | 59% Loosely correlated | +0.76% | ||
SCCO - GMET | 0% Poorly correlated | -1.23% | ||
SGML - GMET | -3% Poorly correlated | -2.14% | ||
AMS - GMET | -4% Poorly correlated | -2.07% | ||
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