| ACWV | GLOF | ACWV / GLOF | |
| Gain YTD | 3.633 | 12.930 | 28% |
| Net Assets | 3.26B | 213M | 1,532% |
| Total Expense Ratio | 0.20 | 0.20 | 100% |
| Turnover | 27.00 | 25.00 | 108% |
| Yield | 1.96 | 1.58 | 124% |
| Fund Existence | 15 years | 11 years | - |
| ACWV | GLOF | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 86% | 5 days ago 75% |
| Stochastic ODDS (%) | 2 days ago 68% | 2 days ago 65% |
| Momentum ODDS (%) | 2 days ago 71% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 65% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 70% | 2 days ago 83% |
| Advances ODDS (%) | 5 days ago 73% | 12 days ago 84% |
| Declines ODDS (%) | 3 days ago 64% | 4 days ago 72% |
| BollingerBands ODDS (%) | 3 days ago 83% | N/A |
| Aroon ODDS (%) | 2 days ago 59% | 2 days ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| QQQP | 225.83 | 1.46 | +0.65% |
| Tradr 2X Long Innovation100 QuarterlyETF | |||
| ULVM | 106.97 | 0.48 | +0.45% |
| VictoryShares US Value Momentum ETF | |||
| MMIT | 24.29 | N/A | N/A |
| NYLI MacKay Muni Intermediate ETF | |||
| RHRX | 21.69 | N/A | N/A |
| RH Tactical Rotation ETF | |||
| TEKY | 45.29 | -0.22 | -0.48% |
| Lazard Next Gen Technologies ETF | |||
A.I.dvisor indicates that over the last year, ACWV has been loosely correlated with BCE. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if ACWV jumps, then BCE could also see price increases.
| Ticker / NAME | Correlation To ACWV | 1D Price Change % | ||
|---|---|---|---|---|
| ACWV | 100% | N/A | ||
| BCE - ACWV | 60% Loosely correlated | +0.28% | ||
| AWK - ACWV | 55% Loosely correlated | +0.11% | ||
| ES - ACWV | 54% Loosely correlated | +1.20% | ||
| EVRG - ACWV | 52% Loosely correlated | +0.50% | ||
| NEE - ACWV | 51% Loosely correlated | +0.99% | ||
More | ||||
A.I.dvisor indicates that over the last year, GLOF has been closely correlated with SAN. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if GLOF jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To GLOF | 1D Price Change % | ||
|---|---|---|---|---|
| GLOF | 100% | N/A | ||
| SAN - GLOF | 70% Closely correlated | +0.58% | ||
| GS - GLOF | 66% Loosely correlated | -0.07% | ||
| BHP - GLOF | 66% Loosely correlated | +2.21% | ||
| EMR - GLOF | 65% Loosely correlated | +0.78% | ||
| ROK - GLOF | 64% Loosely correlated | +0.99% | ||
More | ||||