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COPX or IYM or SLX
| COPX | IYM | SLX | |
| Gain YTD | 22.284 | 18.886 | 25.006 |
| Net Assets | 7.43B | 1.09B | 167M |
| Total Expense Ratio | 0.65 | 0.37 | 0.55 |
| Turnover | 21.67 | 18.00 | 107.00 |
| Yield | 2.07 | 1.21 | 1.22 |
| Fund Existence | 16 years | 26 years | 20 years |
| COPX | IYM | SLX | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 80% | N/A |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 81% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 90% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 86% | 2 days ago 76% | 2 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 81% | 2 days ago 82% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 79% | 2 days ago 80% |
| Advances ODDS (%) | 2 days ago 90% | 20 days ago 88% | 15 days ago 89% |
| Declines ODDS (%) | 7 days ago 88% | 2 days ago 83% | 2 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 85% | 2 days ago 89% |
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MKOR | 63.90 | 3.05 | +5.02% |
| Matthews Korea Active ETF (MKOR) | |||
| XJAN | 39.31 | 0.13 | +0.33% |
| FT Vest U.S. Equity Enhance & Moderate Buffer ETF - January (XJAN) | |||
| FTSL | 45.00 | 0.07 | +0.16% |
| First Trust Senior Loan Fund (FTSL) | |||
| DCRE | 51.17 | 0.01 | +0.02% |
| DoubleLine Commercial Real Estate Debt ETF (DCRE) | |||
| FTIF | 28.51 | -0.42 | -1.44% |
| First Trust Bloomberg Inflation Sensitive Equity ETF (FTIF) | |||
COPX and
Correlation & Price change
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 84% 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% | +0.24% | ||
| BHP - COPX | 84% Closely correlated | -0.21% | ||
| WDS - COPX | 57% Loosely correlated | -1.99% | ||
| NEXA - COPX | 30% Poorly correlated | -1.15% | ||
| TKO - COPX | 13% Poorly correlated | +0.98% | ||
| MTAL - COPX | -2% Poorly correlated | -0.10% | ||
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IYM and
Correlation & Price change
A.I.dvisor indicates that over the last year, IYM has been closely correlated with NEM. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if IYM jumps, then NEM could also see price increases.
SLX and
Correlation & Price change
A.I.dvisor indicates that over the last year, SLX has been closely correlated with RIO. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLX jumps, then RIO could also see price increases.