COPX | GMET | COPX / GMET | |
Gain YTD | 48.110 | 43.952 | 109% |
Net Assets | 2.53B | 24M | 10,550% |
Total Expense Ratio | 0.65 | 0.61 | 107% |
Turnover | 14.60 | 20.00 | 73% |
Yield | 1.58 | 1.46 | 108% |
Fund Existence | 15 years | 4 years | - |
COPX | GMET | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago87% |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago87% |
Momentum ODDS (%) | N/A | N/A |
MACD ODDS (%) | N/A | 2 days ago82% |
TrendWeek ODDS (%) | 2 days ago90% | 2 days ago86% |
TrendMonth ODDS (%) | 2 days ago88% | 2 days ago82% |
Advances ODDS (%) | 2 days ago89% | 2 days ago85% |
Declines ODDS (%) | 9 days ago88% | 9 days ago89% |
BollingerBands ODDS (%) | 2 days ago89% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago84% |
A.I.dvisor indicates that over the last year, COPX has been loosely correlated with BHP. These tickers have moved in lockstep 64% of the time. This A.I.-generated data suggests there is some statistical probability that if COPX jumps, then BHP could also see price increases.
Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
---|---|---|---|---|
COPX | 100% | +0.50% | ||
BHP - COPX | 64% Loosely correlated | +4.09% | ||
TKO - COPX | 32% Poorly correlated | N/A | ||
SLS - COPX | 9% Poorly correlated | -1.23% |
A.I.dvisor tells us that GMET and SQM have been poorly correlated (+15% 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% | +0.84% | ||
SQM - GMET | 15% Poorly correlated | +1.69% | ||
LAR - GMET | 14% Poorly correlated | +11.63% | ||
ALB - GMET | 13% Poorly correlated | +3.98% | ||
SGML - GMET | 12% Poorly correlated | +9.92% | ||
AAL - GMET | 11% Poorly correlated | -4.61% | ||
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