| JIG | UMMA | JIG / UMMA | |
| Gain YTD | 17.874 | 26.336 | 68% |
| Net Assets | 288M | 182M | 158% |
| Total Expense Ratio | 0.55 | 0.65 | 85% |
| Turnover | 51.00 | 15.00 | 340% |
| Yield | 1.43 | 1.06 | 135% |
| Fund Existence | 6 years | 4 years | - |
| JIG | UMMA | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 80% | 3 days ago 79% |
| Stochastic ODDS (%) | 3 days ago 76% | 3 days ago 82% |
| Momentum ODDS (%) | 3 days ago 83% | 3 days ago 81% |
| MACD ODDS (%) | 3 days ago 74% | 3 days ago 81% |
| TrendWeek ODDS (%) | 3 days ago 82% | 3 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 79% | 3 days ago 85% |
| Advances ODDS (%) | 3 days ago 81% | 3 days ago 85% |
| Declines ODDS (%) | 10 days ago 80% | 10 days ago 80% |
| BollingerBands ODDS (%) | 3 days ago 90% | 4 days ago 89% |
| Aroon ODDS (%) | 3 days ago 77% | 3 days ago 73% |
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% | +0.56% | ||
| TSM - UMMA | 77% Closely correlated | +0.62% | ||
| ASML - UMMA | 70% Closely correlated | +0.35% | ||
| CRH - UMMA | 60% Loosely correlated | +0.74% | ||
| BHP - UMMA | 59% Loosely correlated | -0.34% | ||
| SAP - UMMA | 59% Loosely correlated | +0.26% | ||
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