| ACWX | EFA | ACWX / EFA | |
| Gain YTD | 6.271 | 5.592 | 112% |
| Net Assets | 8.71B | 74.8B | 12% |
| Total Expense Ratio | 0.32 | 0.32 | 100% |
| Turnover | 5.00 | 4.00 | 125% |
| Yield | 2.68 | 3.22 | 83% |
| Fund Existence | 18 years | 24 years | - |
| ACWX | EFA | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 79% | 3 days ago 80% |
| Stochastic ODDS (%) | 1 day ago 85% | 3 days ago 75% |
| Momentum ODDS (%) | N/A | 3 days ago 82% |
| MACD ODDS (%) | 1 day ago 83% | 3 days ago 90% |
| TrendWeek ODDS (%) | 1 day ago 79% | 3 days ago 81% |
| TrendMonth ODDS (%) | 1 day ago 77% | 3 days ago 79% |
| Advances ODDS (%) | 1 day ago 82% | 9 days ago 83% |
| Declines ODDS (%) | 16 days ago 78% | N/A |
| BollingerBands ODDS (%) | 1 day ago 82% | 3 days ago 69% |
| Aroon ODDS (%) | 1 day ago 74% | 3 days ago 74% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| EFAV | 89.50 | 0.34 | +0.38% |
| iShares MSCI EAFE Min Vol Factor ETF | |||
| SIXZ | 29.98 | 0.10 | +0.33% |
| AllianzIM US Equity 6M Bfr10 May/Nov ETF | |||
| DOG | 22.93 | -0.23 | -0.99% |
| ProShares Short Dow30 | |||
| TMET | 30.46 | -0.96 | -3.05% |
| iShares Transition-Enabling Metals ETF | |||
| NVDU | 114.94 | -7.13 | -5.84% |
| Direxion Daily NVDA Bull 2X Shares | |||
A.I.dvisor indicates that over the last year, ACWX has been closely correlated with STM. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if ACWX jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To ACWX | 1D Price Change % | ||
|---|---|---|---|---|
| ACWX | 100% | +0.17% | ||
| STM - ACWX | 80% Closely correlated | -3.16% | ||
| SAN - ACWX | 74% Closely correlated | -6.36% | ||
| BN - ACWX | 71% Closely correlated | -4.21% | ||
| BHP - ACWX | 70% Closely correlated | +4.83% | ||
| MT - ACWX | 69% Closely correlated | +0.28% | ||
More | ||||
A.I.dvisor indicates that over the last year, EFA has been closely correlated with STM. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if EFA jumps, then STM could also see price increases.