| EWP | KWT | EWP / KWT | |
| Gain YTD | 11.079 | -3.400 | -326% |
| Net Assets | 1.97B | 71.1M | 2,772% |
| Total Expense Ratio | 0.50 | 0.75 | 67% |
| Turnover | 29.00 | 42.00 | 69% |
| Yield | 2.81 | 5.66 | 50% |
| Fund Existence | 30 years | 6 years | - |
| EWP | KWT | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 84% | 1 day ago 81% |
| Stochastic ODDS (%) | 1 day ago 79% | 1 day ago 83% |
| Momentum ODDS (%) | 1 day ago 86% | 1 day ago 71% |
| MACD ODDS (%) | 1 day ago 73% | 1 day ago 61% |
| TrendWeek ODDS (%) | 1 day ago 77% | 1 day ago 74% |
| TrendMonth ODDS (%) | 1 day ago 88% | 1 day ago 74% |
| Advances ODDS (%) | 4 days ago 90% | 4 days ago 83% |
| Declines ODDS (%) | 6 days ago 81% | 6 days ago 74% |
| BollingerBands ODDS (%) | 1 day ago 84% | 1 day ago 89% |
| Aroon ODDS (%) | 1 day ago 87% | 1 day ago 67% |
A.I.dvisor indicates that over the last year, EWP has been closely correlated with SAN. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if EWP jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To EWP | 1D Price Change % | ||
|---|---|---|---|---|
| EWP | 100% | -0.86% | ||
| SAN - EWP | 89% Closely correlated | -1.51% | ||
| BBVA - EWP | 84% Closely correlated | -1.17% | ||
| FER - EWP | -1% Poorly correlated | -0.90% | ||
| AMS - EWP | -6% Poorly correlated | -0.67% |
A.I.dvisor tells us that KWT and CGC have been poorly correlated (+9% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that KWT and CGC's prices will move in lockstep.