| DWM | FNDF | DWM / FNDF | |
| Gain YTD | 12.380 | 24.946 | 50% |
| Net Assets | 681M | 26.3B | 3% |
| Total Expense Ratio | 0.48 | 0.25 | 192% |
| Turnover | 29.00 | 29.00 | 100% |
| Yield | 2.65 | 2.94 | 90% |
| Fund Existence | 20 years | 13 years | - |
| DWM | FNDF | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 76% | 2 days ago 69% |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 63% |
| Momentum ODDS (%) | 2 days ago 78% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 70% | 2 days ago 80% |
| TrendWeek ODDS (%) | 2 days ago 73% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 69% | 2 days ago 79% |
| Advances ODDS (%) | 7 days ago 83% | 6 days ago 84% |
| Declines ODDS (%) | 2 days ago 76% | 13 days ago 75% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 73% |
| Aroon ODDS (%) | 2 days ago 82% | 2 days ago 79% |
A.I.dvisor indicates that over the last year, DWM has been closely correlated with SAN. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if DWM jumps, then SAN 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% | -0.25% | ||
| STM - FNDF | 75% Closely correlated | -0.52% | ||
| BNT - FNDF | 74% Closely correlated | -2.34% | ||
| BAM - FNDF | 72% Closely correlated | -3.42% | ||
| BHP - FNDF | 71% Closely correlated | +1.74% | ||
| RIO - FNDF | 71% Closely correlated | +0.54% | ||
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