| ICF | NRO | ICF / NRO | |
| Gain YTD | 0.868 | -6.834 | -13% |
| Net Assets | 1.91B | 201M | 950% |
| Total Expense Ratio | 0.32 | 2.06 | 16% |
| Turnover | 17.00 | 18.00 | 94% |
| Yield | 2.49 | 11.48 | 22% |
| Fund Existence | 25 years | 22 years | - |
| ICF | NRO | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 81% |
| Momentum ODDS (%) | 2 days ago 80% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 71% | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 85% |
| Advances ODDS (%) | 15 days ago 86% | 2 days ago 81% |
| Declines ODDS (%) | 7 days ago 84% | 11 days ago 84% |
| BollingerBands ODDS (%) | 2 days ago 86% | 4 days ago 73% |
| Aroon ODDS (%) | 2 days ago 77% | 2 days ago 87% |
A.I.dvisor indicates that over the last year, ICF has been closely correlated with EQR. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICF jumps, then EQR could also see price increases.
A.I.dvisor tells us that NRO and SPG have been poorly correlated (+18% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that NRO and SPG's prices will move in lockstep.