| BATT | ICOP | BATT / ICOP | |
| Gain YTD | 9.638 | 10.898 | 88% |
| Net Assets | 124M | 429M | 29% |
| Total Expense Ratio | 0.59 | 0.47 | 126% |
| Turnover | 73.00 | 37.00 | 197% |
| Yield | 1.66 | 1.81 | 92% |
| Fund Existence | 8 years | 3 years | - |
| BATT | ICOP | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| Stochastic ODDS (%) | 3 days ago 86% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 81% |
| MACD ODDS (%) | 3 days ago 87% | 3 days ago 84% |
| TrendWeek ODDS (%) | 3 days ago 88% | 3 days ago 80% |
| TrendMonth ODDS (%) | 3 days ago 88% | 3 days ago 82% |
| Advances ODDS (%) | 5 days ago 88% | 19 days ago 90% |
| Declines ODDS (%) | 3 days ago 88% | 11 days ago 84% |
| BollingerBands ODDS (%) | 3 days ago 83% | N/A |
| Aroon ODDS (%) | 3 days ago 85% | 3 days ago 83% |
A.I.dvisor indicates that over the last year, ICOP has been loosely correlated with MTAL. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if ICOP jumps, then MTAL could also see price increases.
| Ticker / NAME | Correlation To ICOP | 1D Price Change % | ||
|---|---|---|---|---|
| ICOP | 100% | N/A | ||
| MTAL - ICOP | 61% Loosely correlated | -0.10% | ||
| AAL - ICOP | 30% Poorly correlated | N/A | ||
| RIO - ICOP | -2% Poorly correlated | +1.15% | ||
| NEM - ICOP | -6% Poorly correlated | +4.01% | ||
| BHP - ICOP | -6% Poorly correlated | +1.35% | ||
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