| COPX | LITP | COPX / LITP | |
| Gain YTD | 26.424 | 13.528 | 195% |
| Net Assets | 7.76B | 59.4M | 13,064% |
| Total Expense Ratio | 0.65 | 0.65 | 100% |
| Turnover | N/A | 49.00 | - |
| Yield | 2.22 | 6.76 | 33% |
| Fund Existence | 16 years | 3 years | - |
| COPX | LITP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 87% | 2 days ago 78% |
| Momentum ODDS (%) | N/A | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 88% |
| Advances ODDS (%) | 2 days ago 89% | 2 days ago 88% |
| Declines ODDS (%) | 20 days ago 89% | 6 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 77% |
| Aroon ODDS (%) | 2 days ago 86% | 2 days ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SETH | 51.27 | 0.48 | +0.95% |
| ProShares Short Ether ETF | |||
| AGGH | 20.66 | 0.01 | +0.05% |
| Simplify Aggregate Bond ETF | |||
| SNPV | 36.91 | N/A | N/A |
| Xtrackers S&P 500 Value ESG ETF | |||
| FLCC | 32.69 | N/A | N/A |
| Federated Hermes MDT Large Cap Core ETF | |||
| BULZ | 249.27 | -12.73 | -4.86% |
| MicroSectors™ Slct FANG Inn 3X Lvgd ETNs | |||
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 78% 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% | +6.53% | ||
| BHP - COPX | 78% Closely correlated | +4.83% | ||
| WDS - COPX | 57% Loosely correlated | +3.31% | ||
| TKO - COPX | 32% Poorly correlated | +1.30% | ||
| NEXA - COPX | 30% Poorly correlated | +4.50% | ||
| SLS - COPX | 14% Poorly correlated | +4.79% |
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 71% 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% | +5.07% | ||
| SQM - LITP | 71% Closely correlated | +5.38% | ||
| ALB - LITP | 71% Closely correlated | +3.46% | ||
| SGML - LITP | 67% Closely correlated | +11.35% | ||
| LAR - LITP | 58% Loosely correlated | +6.75% | ||
| LAC - LITP | 58% Loosely correlated | +8.61% | ||
More | ||||