| COPX | LITP | COPX / LITP | |
| Gain YTD | 19.752 | 25.437 | 78% |
| Net Assets | 7.88B | 58.4M | 13,498% |
| Total Expense Ratio | 0.65 | 0.65 | 100% |
| Turnover | N/A | 40.00 | - |
| Yield | 2.18 | 5.50 | 40% |
| Fund Existence | 16 years | 3 years | - |
| COPX | LITP | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 88% | 3 days ago 84% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 85% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 84% | 3 days ago 89% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| TrendMonth ODDS (%) | 3 days ago 85% | 3 days ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| Declines ODDS (%) | 5 days ago 89% | 7 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 83% |
| Aroon ODDS (%) | 3 days ago 88% | 3 days ago 90% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 80% 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% | +3.38% | ||
| BHP - COPX | 80% Closely correlated | +3.20% | ||
| WDS - COPX | 57% Loosely correlated | +6.17% | ||
| NEXA - COPX | 30% Poorly correlated | +6.35% | ||
| SLS - COPX | 26% Poorly correlated | +1.03% | ||
| TKO - COPX | 19% Poorly correlated | -4.84% | ||
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A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | +5.92% | ||
| SQM - LITP | 76% Closely correlated | +4.57% | ||
| ALB - LITP | 75% Closely correlated | +7.42% | ||
| LAR - LITP | 74% Closely correlated | +7.11% | ||
| SGML - LITP | 67% Closely correlated | +8.49% | ||
| LAC - LITP | 60% Loosely correlated | +3.17% | ||
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