COPX | GMET | COPX / GMET | |
Gain YTD | 22.398 | 18.099 | 124% |
Net Assets | 2.04B | 19.8M | 10,283% |
Total Expense Ratio | 0.65 | 0.61 | 107% |
Turnover | 14.60 | 20.00 | 73% |
Yield | 1.74 | 1.65 | 105% |
Fund Existence | 15 years | 4 years | - |
COPX | GMET | |
---|---|---|
RSI ODDS (%) | 3 days ago90% | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago87% | 3 days ago82% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago84% |
MACD ODDS (%) | 3 days ago90% | 3 days ago90% |
TrendWeek ODDS (%) | 3 days ago90% | 3 days ago85% |
TrendMonth ODDS (%) | 3 days ago88% | 3 days ago80% |
Advances ODDS (%) | 4 days ago89% | 4 days ago84% |
Declines ODDS (%) | 25 days ago87% | N/A |
BollingerBands ODDS (%) | 3 days ago89% | 3 days ago81% |
Aroon ODDS (%) | 3 days ago87% | 3 days ago81% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
RSST | 23.74 | 0.17 | +0.72% |
Return Stacked® US Stocks & Mgd Futs ETF | |||
SYLD | 67.39 | 0.13 | +0.19% |
Cambria Shareholder Yield ETF | |||
EBUF | 27.41 | 0.02 | +0.07% |
Innovator Emerging Markets 10 Buf ETF-Qt | |||
LGHT | 10.48 | -0.01 | -0.13% |
Langar Global HealthTech ETF | |||
FEUZ | 55.34 | -0.15 | -0.27% |
First Trust Eurozone AlphaDEX® ETF |
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% | -0.34% | ||
FCX - COPX | 87% Closely correlated | +0.07% | ||
SCCO - COPX | 86% Closely correlated | -0.22% | ||
HBM - COPX | 85% Closely correlated | -1.19% | ||
ERO - COPX | 83% Closely correlated | -2.81% | ||
BHP - COPX | 73% Closely correlated | -0.41% | ||
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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 63% 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% | -0.50% | ||
LAR - GMET | 63% Loosely correlated | -0.85% | ||
LAC - GMET | 59% Loosely correlated | -1.85% | ||
SCCO - GMET | 0% Poorly correlated | -0.22% | ||
SGML - GMET | -3% Poorly correlated | +7.90% | ||
AMS - GMET | -4% Poorly correlated | +2.36% | ||
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