| FNDF | ICOW | FNDF / ICOW | |
| Gain YTD | 19.553 | 10.947 | 179% |
| Net Assets | 24.4B | 1.76B | 1,388% |
| Total Expense Ratio | 0.25 | 0.65 | 38% |
| Turnover | 29.00 | 79.00 | 37% |
| Yield | 2.85 | 2.12 | 135% |
| Fund Existence | 13 years | 9 years | - |
| FNDF | ICOW | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 74% | N/A |
| Stochastic ODDS (%) | 2 days ago 71% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 78% | 2 days ago 75% |
| MACD ODDS (%) | 2 days ago 80% | 6 days ago 72% |
| TrendWeek ODDS (%) | 2 days ago 76% | 2 days ago 75% |
| TrendMonth ODDS (%) | 2 days ago 79% | 2 days ago 69% |
| Advances ODDS (%) | 9 days ago 83% | 22 days ago 83% |
| Declines ODDS (%) | 7 days ago 77% | 2 days ago 73% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 86% |
| 1 Day | |||
|---|---|---|---|
| FOREX / NAME | Price $ | Chg $ | Chg % |
| XAGUSD | 69.58 | 5.17 | +8.03% |
| Silver Ounce - United States Dollar | |||
| CADJPY | 114.71 | 0.84 | +0.73% |
| Canadian Dollar - Japan Yen | |||
| NZDAUD | 0.82 | 0.00 | +0.01% |
| New Zealand Dollar - Australian Dollar | |||
| GBPJPY | 212.49 | -0.71 | -0.34% |
| United Kingdom Pound - Japan Yen | |||
| CNYJPY | 23.07 | -0.78 | -3.26% |
| China Yuan - Japan Yen | |||
A.I.dvisor indicates that over the last year, FNDF has been closely correlated with STM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if FNDF jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To FNDF | 1D Price Change % | ||
|---|---|---|---|---|
| FNDF | 100% | -0.13% | ||
| STM - FNDF | 75% Closely correlated | +1.94% | ||
| BNT - FNDF | 74% Closely correlated | -0.92% | ||
| BHP - FNDF | 72% Closely correlated | -2.38% | ||
| BAM - FNDF | 72% Closely correlated | -0.32% | ||
| MT - FNDF | 71% Closely correlated | +0.54% | ||
More | ||||
A.I.dvisor indicates that over the last year, ICOW has been closely correlated with BHP. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOW jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To ICOW | 1D Price Change % | ||
|---|---|---|---|---|
| ICOW | 100% | -0.54% | ||
| BHP - ICOW | 70% Closely correlated | -2.38% | ||
| RIO - ICOW | 69% Closely correlated | -0.72% | ||
| MT - ICOW | 66% Loosely correlated | +0.54% | ||
| NTR - ICOW | 57% Loosely correlated | -0.97% | ||
| STLA - ICOW | 54% Loosely correlated | +0.63% | ||
More | ||||