| NYF | VTN | NYF / VTN | |
| Gain YTD | 1.761 | 2.497 | 71% |
| Net Assets | 1.38B | 160M | 861% |
| Total Expense Ratio | 0.09 | 1.80 | 5% |
| Turnover | 9.00 | 21.00 | 43% |
| Yield | 3.08 | 4.94 | 62% |
| Fund Existence | 19 years | 34 years | - |
| NYF | VTN | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 48% | 1 day ago 85% |
| Stochastic ODDS (%) | 1 day ago 45% | 1 day ago 75% |
| Momentum ODDS (%) | 1 day ago 32% | 1 day ago 70% |
| MACD ODDS (%) | 1 day ago 50% | 1 day ago 75% |
| TrendWeek ODDS (%) | 1 day ago 49% | 1 day ago 75% |
| TrendMonth ODDS (%) | 1 day ago 32% | 1 day ago 75% |
| Advances ODDS (%) | 4 days ago 39% | 1 day ago 78% |
| Declines ODDS (%) | 6 days ago 52% | 5 days ago 82% |
| BollingerBands ODDS (%) | 1 day ago 42% | 1 day ago 72% |
| Aroon ODDS (%) | 1 day ago 30% | 1 day ago 70% |
A.I.dvisor tells us that NYF and BNY have been poorly correlated (+-12% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that NYF and BNY's prices will move in lockstep.
A.I.dvisor indicates that over the last year, VTN has been loosely correlated with BNY. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if VTN jumps, then BNY could also see price increases.