COPX | GMET | COPX / GMET | |
Gain YTD | 22.503 | 24.948 | 90% |
Net Assets | 1.98B | 21M | 9,433% |
Total Expense Ratio | 0.65 | 0.61 | 107% |
Turnover | 14.60 | 20.00 | 73% |
Yield | 1.82 | 1.63 | 111% |
Fund Existence | 15 years | 4 years | - |
COPX | GMET | |
---|---|---|
RSI ODDS (%) | N/A | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago84% | 3 days ago90% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago84% |
MACD ODDS (%) | 3 days ago90% | 3 days ago90% |
TrendWeek ODDS (%) | 3 days ago90% | 3 days ago86% |
TrendMonth ODDS (%) | 3 days ago88% | 3 days ago81% |
Advances ODDS (%) | 4 days ago88% | 9 days ago84% |
Declines ODDS (%) | 18 days ago88% | 17 days ago90% |
BollingerBands ODDS (%) | 3 days ago88% | 3 days ago88% |
Aroon ODDS (%) | 3 days ago88% | 3 days ago86% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if COPX jumps, then BHP could also see price increases.
Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
---|---|---|---|---|
COPX | 100% | -1.61% | ||
BHP - COPX | 67% Closely correlated | -1.66% | ||
TKO - COPX | 34% Loosely correlated | -0.15% | ||
SLS - COPX | 12% Poorly correlated | N/A |
A.I.dvisor tells us that GMET and SQM have been poorly correlated (+12% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GMET and SQM's prices will move in lockstep.
Ticker / NAME | Correlation To GMET | 1D Price Change % | ||
---|---|---|---|---|
GMET | 100% | -0.89% | ||
SQM - GMET | 12% Poorly correlated | -1.96% | ||
LAR - GMET | 11% Poorly correlated | -2.60% | ||
AAL - GMET | 9% Poorly correlated | -2.21% | ||
ALB - GMET | 8% Poorly correlated | -0.29% | ||
AMS - GMET | 6% Poorly correlated | +0.19% | ||
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