| DIVI | FNDF | DIVI / FNDF | |
| Gain YTD | 16.838 | 24.212 | 70% |
| Net Assets | 2.77B | 26.1B | 11% |
| Total Expense Ratio | 0.09 | 0.25 | 36% |
| Turnover | 27.00 | 29.00 | 93% |
| Yield | 3.55 | 3.01 | 118% |
| Fund Existence | 10 years | 13 years | - |
| DIVI | FNDF | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 83% | 3 days ago 78% |
| Stochastic ODDS (%) | 3 days ago 87% | 3 days ago 72% |
| Momentum ODDS (%) | 3 days ago 81% | 3 days ago 81% |
| MACD ODDS (%) | 3 days ago 77% | 4 days ago 80% |
| TrendWeek ODDS (%) | 3 days ago 74% | 3 days ago 82% |
| TrendMonth ODDS (%) | 3 days ago 82% | 3 days ago 79% |
| Advances ODDS (%) | 12 days ago 83% | 3 days ago 83% |
| Declines ODDS (%) | 6 days ago 74% | 26 days ago 77% |
| BollingerBands ODDS (%) | 3 days ago 80% | 3 days ago 82% |
| Aroon ODDS (%) | 3 days ago 84% | 3 days ago 78% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| JTEK | 99.98 | 1.22 | +1.24% |
| JPMorgan U.S. Tech Leaders ETF | |||
| OBOR | 28.21 | 0.28 | +0.99% |
| KraneShares MSCI One Belt One Road ETF | |||
| CTAP | 29.52 | 0.14 | +0.48% |
| Simplify US Eq PLUS Mgd Futs Stgy ETF | |||
| FTCA | 7.24 | -0.02 | -0.28% |
| Franklin California Municipal Income ETF | |||
| IBIL | 24.80 | -0.12 | -0.48% |
| ishares Ibonds Oct 2035 Term TIPS ETF | |||
A.I.dvisor indicates that over the last year, DIVI has been closely correlated with SAN. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if DIVI jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To DIVI | 1D Price Change % | ||
|---|---|---|---|---|
| DIVI | 100% | +0.77% | ||
| SAN - DIVI | 75% Closely correlated | +2.67% | ||
| ING - DIVI | 73% Closely correlated | +0.99% | ||
| BBVA - DIVI | 72% Closely correlated | +1.43% | ||
| NWG - DIVI | 67% Closely correlated | +1.69% | ||
| BHP - DIVI | 67% Closely correlated | +3.63% | ||
More | ||||
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% | +0.83% | ||
| STM - FNDF | 75% Closely correlated | +1.28% | ||
| BNT - FNDF | 74% Closely correlated | +0.80% | ||
| BHP - FNDF | 72% Closely correlated | +3.63% | ||
| BAM - FNDF | 72% Closely correlated | +1.51% | ||
| RIO - FNDF | 71% Closely correlated | +3.06% | ||
More | ||||