| COPX | NANR | COPX / NANR | |
| Gain YTD | 31.914 | 34.967 | 91% |
| Net Assets | 8.12B | 853M | 952% |
| Total Expense Ratio | 0.65 | 0.35 | 186% |
| Turnover | 21.67 | 21.00 | 103% |
| Yield | 2.07 | 1.58 | 131% |
| Fund Existence | 16 years | 11 years | - |
| COPX | NANR | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 80% | 1 day ago 77% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 80% |
| Momentum ODDS (%) | 1 day ago 86% | 1 day ago 80% |
| MACD ODDS (%) | 1 day ago 87% | 1 day ago 79% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 89% | 1 day ago 84% |
| Advances ODDS (%) | 7 days ago 90% | 7 days ago 87% |
| Declines ODDS (%) | 9 days ago 88% | 15 days ago 77% |
| BollingerBands ODDS (%) | 1 day ago 82% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 88% | 1 day ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GLWG | 16.07 | 2.08 | +14.89% |
| Leverage Shares 2X Long GLW Daily ETF | |||
| CEFS | 25.31 | 0.05 | +0.19% |
| Saba Opportunistically Hdg Clsd-End ETF | |||
| PFFA | 20.98 | 0.02 | +0.10% |
| Virtus InfraCap US Preferred Stock ETF | |||
| KMAR | 32.47 | 0.03 | +0.09% |
| Innovator U.S. Small Cp Pwr Buf ETF -Mar | |||
| STSM | 16.18 | -0.80 | -4.72% |
| Defiance Daily Target 2X Short TSM ETF | |||
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 83% 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% | +4.10% | ||
| BHP - COPX | 83% Closely correlated | +1.74% | ||
| WDS - COPX | 57% Loosely correlated | +3.12% | ||
| NEXA - COPX | 30% Poorly correlated | +2.32% | ||
| TKO - COPX | 13% Poorly correlated | +5.01% | ||
| MTAL - COPX | -3% Poorly correlated | -0.20% | ||
More | ||||
A.I.dvisor indicates that over the last year, NANR has been closely correlated with NEM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if NANR jumps, then NEM could also see price increases.
| Ticker / NAME | Correlation To NANR | 1D Price Change % | ||
|---|---|---|---|---|
| NANR | 100% | +0.43% | ||
| NEM - NANR | 75% Closely correlated | -0.78% | ||
| PAAS - NANR | 75% Closely correlated | -0.66% | ||
| FNV - NANR | 75% Closely correlated | -0.70% | ||
| WPM - NANR | 74% Closely correlated | +0.08% | ||
| AEM - NANR | 73% Closely correlated | -1.41% | ||
More | ||||