| NYF | PNI | NYF / PNI | |
| Gain YTD | -1.575 | -1.543 | 102% |
| Net Assets | 1.43B | 174M | 823% |
| Total Expense Ratio | 0.09 | 1.35 | 7% |
| Turnover | 9.00 | 26.00 | 35% |
| Yield | 3.19 | 4.12 | 77% |
| Fund Existence | 19 years | 24 years | - |
| NYF | PNI | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 43% | 2 days ago 77% |
| Stochastic ODDS (%) | 2 days ago 40% | 2 days ago 78% |
| Momentum ODDS (%) | 2 days ago 36% | 2 days ago 78% |
| MACD ODDS (%) | 2 days ago 36% | 2 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 51% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 49% | 2 days ago 76% |
| Advances ODDS (%) | 19 days ago 38% | 20 days ago 83% |
| Declines ODDS (%) | 3 days ago 54% | 2 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 49% | 2 days ago 59% |
| Aroon ODDS (%) | 2 days ago 61% | 2 days ago 80% |
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, PNI has been loosely correlated with BNY. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if PNI jumps, then BNY could also see price increases.