| COPX | LITP | COPX / LITP | |
| Gain YTD | 57.621 | 82.186 | 70% |
| Net Assets | 3.21B | 33.9M | 9,478% |
| Total Expense Ratio | 0.65 | 0.65 | 100% |
| Turnover | 14.60 | 49.00 | 30% |
| Yield | 1.27 | 4.31 | 29% |
| Fund Existence | 16 years | 3 years | - |
| COPX | LITP | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 84% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 86% | 2 days ago 81% |
| MACD ODDS (%) | 6 days ago 90% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 88% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 86% |
| Advances ODDS (%) | 10 days ago 89% | 2 days ago 86% |
| Declines ODDS (%) | 2 days ago 88% | 16 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 87% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 72% 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% | +3.49% | ||
| SQM - LITP | 72% Closely correlated | +6.23% | ||
| ALB - LITP | 71% Closely correlated | +3.53% | ||
| LAR - LITP | 70% Closely correlated | +13.36% | ||
| SGML - LITP | 68% Closely correlated | +33.33% | ||
| LAC - LITP | 57% Loosely correlated | +2.61% | ||
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