| FNDF | ICOW | FNDF / ICOW | |
| Gain YTD | 20.141 | 13.732 | 147% |
| Net Assets | 25.1B | 1.81B | 1,387% |
| Total Expense Ratio | 0.25 | 0.65 | 38% |
| Turnover | 29.00 | 79.00 | 37% |
| Yield | 3.01 | 2.23 | 135% |
| Fund Existence | 13 years | 9 years | - |
| FNDF | ICOW | |
|---|---|---|
| RSI ODDS (%) | N/A | 4 days ago 76% |
| Stochastic ODDS (%) | 4 days ago 63% | 4 days ago 77% |
| Momentum ODDS (%) | 4 days ago 81% | 4 days ago 85% |
| MACD ODDS (%) | 4 days ago 80% | 4 days ago 84% |
| TrendWeek ODDS (%) | 4 days ago 82% | 4 days ago 83% |
| TrendMonth ODDS (%) | 4 days ago 79% | 4 days ago 81% |
| Advances ODDS (%) | 13 days ago 83% | 5 days ago 84% |
| Declines ODDS (%) | 6 days ago 77% | 27 days ago 73% |
| BollingerBands ODDS (%) | 4 days ago 66% | 4 days ago 83% |
| Aroon ODDS (%) | N/A | 4 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TINY | 76.43 | 1.11 | +1.48% |
| ProShares Nanotechnology ETF | |||
| CHPY | 67.47 | 0.18 | +0.27% |
| YieldMax Semiconductor Port Opt Inc ETF | |||
| POWA | 90.83 | -0.21 | -0.23% |
| Invesco Bloomberg Pricing Power ETF | |||
| XLFI | 24.14 | -0.10 | -0.41% |
| State Street® FinSelSectSPDR®PrmETF | |||
| IDHQ | 43.79 | -0.46 | -1.04% |
| Invesco S&P International Dev Qual ETF | |||
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% | -0.59% | ||
| STM - FNDF | 75% Closely correlated | -1.26% | ||
| BNT - FNDF | 74% Closely correlated | +1.03% | ||
| BHP - FNDF | 73% Closely correlated | -1.64% | ||
| RIO - FNDF | 72% Closely correlated | -0.34% | ||
| BAM - FNDF | 72% Closely correlated | +0.92% | ||
More | ||||
A.I.dvisor indicates that over the last year, ICOW has been closely correlated with RIO. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOW jumps, then RIO could also see price increases.
| Ticker / NAME | Correlation To ICOW | 1D Price Change % | ||
|---|---|---|---|---|
| ICOW | 100% | -1.20% | ||
| RIO - ICOW | 69% Closely correlated | -0.34% | ||
| BHP - ICOW | 69% Closely correlated | -1.64% | ||
| MT - ICOW | 66% Loosely correlated | +1.15% | ||
| NTR - ICOW | 57% Loosely correlated | -2.33% | ||
| STLA - ICOW | 54% Loosely correlated | -1.71% | ||
More | ||||