| DWM | FNDF | DWM / FNDF | |
| Gain YTD | 30.983 | 33.601 | 92% |
| Net Assets | 613M | 18.2B | 3% |
| Total Expense Ratio | 0.48 | 0.25 | 192% |
| Turnover | 27.00 | 12.00 | 225% |
| Yield | 3.05 | 2.85 | 107% |
| Fund Existence | 19 years | 12 years | - |
| DWM | FNDF | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 68% |
| Stochastic ODDS (%) | 2 days ago 71% | 2 days ago 77% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 85% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 80% | 2 days ago 82% |
| TrendMonth ODDS (%) | 2 days ago 78% | 2 days ago 78% |
| Advances ODDS (%) | 6 days ago 82% | 2 days ago 83% |
| Declines ODDS (%) | 4 days ago 76% | 16 days ago 77% |
| BollingerBands ODDS (%) | 2 days ago 85% | 2 days ago 88% |
| Aroon ODDS (%) | 2 days ago 75% | 2 days ago 80% |
A.I.dvisor indicates that over the last year, DWM has been closely correlated with ING. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if DWM jumps, then ING could also see price increases.
A.I.dvisor indicates that over the last year, FNDF has been closely correlated with STM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if FNDF jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To FNDF | 1D Price Change % | ||
|---|---|---|---|---|
| FNDF | 100% | +0.34% | ||
| STM - FNDF | 75% Closely correlated | -1.58% | ||
| BNT - FNDF | 74% Closely correlated | +1.67% | ||
| SAN - FNDF | 72% Closely correlated | -0.31% | ||
| BAM - FNDF | 72% Closely correlated | +1.10% | ||
| BHP - FNDF | 69% Closely correlated | +0.60% | ||
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