| NYF | PNI | NYF / PNI | |
| Gain YTD | 1.761 | 4.624 | 38% |
| Net Assets | 1.38B | 188M | 733% |
| Total Expense Ratio | 0.09 | 1.35 | 7% |
| Turnover | 9.00 | 26.00 | 35% |
| Yield | 3.08 | 3.82 | 81% |
| Fund Existence | 19 years | 24 years | - |
| NYF | PNI | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 48% | 1 day ago 84% |
| Stochastic ODDS (%) | 1 day ago 45% | 1 day ago 84% |
| Momentum ODDS (%) | 1 day ago 32% | 1 day ago 77% |
| MACD ODDS (%) | 1 day ago 50% | 1 day ago 71% |
| TrendWeek ODDS (%) | 1 day ago 49% | 1 day ago 78% |
| TrendMonth ODDS (%) | 1 day ago 32% | 1 day ago 76% |
| Advances ODDS (%) | 4 days ago 39% | 13 days ago 82% |
| Declines ODDS (%) | 6 days ago 52% | 1 day ago 82% |
| BollingerBands ODDS (%) | 1 day ago 42% | 1 day ago 77% |
| Aroon ODDS (%) | 1 day ago 30% | 1 day 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, 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.