| JIG | UMMA | JIG / UMMA | |
| Gain YTD | 6.002 | 8.891 | 68% |
| Net Assets | 313M | 203M | 154% |
| Total Expense Ratio | 0.55 | 0.65 | 85% |
| Turnover | N/A | 15.00 | - |
| Yield | 2.13 | 0.95 | 225% |
| Fund Existence | 6 years | 4 years | - |
| JIG | UMMA | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 81% | 3 days ago 83% |
| Stochastic ODDS (%) | 3 days ago 87% | 3 days ago 80% |
| Momentum ODDS (%) | 3 days ago 84% | N/A |
| MACD ODDS (%) | 3 days ago 78% | N/A |
| TrendWeek ODDS (%) | 3 days ago 82% | 3 days ago 85% |
| TrendMonth ODDS (%) | 3 days ago 80% | 3 days ago 85% |
| Advances ODDS (%) | 8 days ago 81% | 8 days ago 86% |
| Declines ODDS (%) | 6 days ago 80% | 6 days ago 80% |
| BollingerBands ODDS (%) | 3 days ago 80% | 3 days ago 85% |
| Aroon ODDS (%) | 3 days ago 77% | 3 days ago 85% |
A.I.dvisor indicates that over the last year, JIG has been loosely correlated with FER. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if JIG jumps, then FER could also see price increases.
A.I.dvisor indicates that over the last year, UMMA has been closely correlated with TSM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if UMMA jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To UMMA | 1D Price Change % | ||
|---|---|---|---|---|
| UMMA | 100% | +0.97% | ||
| TSM - UMMA | 77% Closely correlated | +3.27% | ||
| ASML - UMMA | 70% Closely correlated | +1.29% | ||
| CRH - UMMA | 60% Loosely correlated | +1.79% | ||
| BHP - UMMA | 59% Loosely correlated | +0.96% | ||
| SAP - UMMA | 59% Loosely correlated | +3.08% | ||
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