| DGT | GCOW | DGT / GCOW | |
| Gain YTD | 13.019 | 12.748 | 102% |
| Net Assets | 628M | 3.32B | 19% |
| Total Expense Ratio | 0.50 | 0.60 | 83% |
| Turnover | 9.00 | 49.00 | 18% |
| Yield | 2.52 | 4.42 | 57% |
| Fund Existence | 26 years | 10 years | - |
| DGT | GCOW | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 66% | N/A |
| Stochastic ODDS (%) | 3 days ago 84% | 3 days ago 78% |
| Momentum ODDS (%) | 3 days ago 76% | 3 days ago 71% |
| MACD ODDS (%) | 3 days ago 77% | 3 days ago 75% |
| TrendWeek ODDS (%) | 3 days ago 81% | 3 days ago 81% |
| TrendMonth ODDS (%) | 3 days ago 79% | 3 days ago 65% |
| Advances ODDS (%) | 3 days ago 85% | 3 days ago 79% |
| Declines ODDS (%) | 5 days ago 72% | 14 days ago 73% |
| BollingerBands ODDS (%) | 3 days ago 90% | N/A |
| Aroon ODDS (%) | 3 days ago 77% | 3 days ago 84% |
A.I.dvisor indicates that over the last year, DGT has been closely correlated with SAN. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if DGT jumps, then SAN could also see price increases.
A.I.dvisor indicates that over the last year, GCOW has been loosely correlated with KMI. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if GCOW jumps, then KMI could also see price increases.
| Ticker / NAME | Correlation To GCOW | 1D Price Change % | ||
|---|---|---|---|---|
| GCOW | 100% | +0.22% | ||
| KMI - GCOW | 65% Loosely correlated | +1.85% | ||
| BN - GCOW | 64% Loosely correlated | +0.40% | ||
| TS - GCOW | 64% Loosely correlated | +1.52% | ||
| DVN - GCOW | 64% Loosely correlated | +1.57% | ||
| SU - GCOW | 62% Loosely correlated | -0.32% | ||
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