| NYF | VTN | NYF / VTN | |
| Gain YTD | 0.394 | -1.594 | -25% |
| Net Assets | 1.39B | 154M | 901% |
| Total Expense Ratio | 0.09 | 1.80 | 5% |
| Turnover | 9.00 | 21.00 | 43% |
| Yield | 3.15 | 4.96 | 64% |
| Fund Existence | 19 years | 34 years | - |
| NYF | VTN | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 51% | 4 days ago 74% |
| Stochastic ODDS (%) | 4 days ago 39% | 4 days ago 81% |
| Momentum ODDS (%) | 4 days ago 36% | 4 days ago 60% |
| MACD ODDS (%) | 4 days ago 40% | 4 days ago 74% |
| TrendWeek ODDS (%) | 4 days ago 38% | 4 days ago 75% |
| TrendMonth ODDS (%) | 4 days ago 48% | 4 days ago 71% |
| Advances ODDS (%) | 7 days ago 39% | 18 days ago 78% |
| Declines ODDS (%) | 4 days ago 53% | 4 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 50% | 4 days ago 80% |
| Aroon ODDS (%) | 4 days ago 60% | 4 days ago 72% |
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.