| DIVI | FNDF | DIVI / FNDF | |
| Gain YTD | 15.529 | 24.189 | 64% |
| Net Assets | 2.72B | 26.3B | 10% |
| Total Expense Ratio | 0.09 | 0.25 | 36% |
| Turnover | 27.00 | 29.00 | 93% |
| Yield | 3.48 | 2.94 | 118% |
| Fund Existence | 10 years | 13 years | - |
| DIVI | FNDF | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 83% | 2 days ago 75% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 76% |
| Momentum ODDS (%) | 2 days ago 75% | 2 days ago 78% |
| MACD ODDS (%) | 2 days ago 58% | 2 days ago 78% |
| TrendWeek ODDS (%) | 2 days ago 74% | 2 days ago 75% |
| TrendMonth ODDS (%) | 2 days ago 67% | 2 days ago 79% |
| Advances ODDS (%) | 9 days ago 84% | 9 days ago 84% |
| Declines ODDS (%) | 3 days ago 73% | 3 days ago 75% |
| BollingerBands ODDS (%) | 2 days ago 87% | 2 days ago 68% |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 79% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TBT | 39.51 | N/A | N/A |
| ProShares UltraShort 20+ Year Treasury | |||
| MEAR | 49.93 | N/A | N/A |
| iShares Short Maturity Muni Bd Act ETF | |||
| IBTR | 23.93 | -0.01 | -0.06% |
| iShares iBonds Dec 2036 Term TreasuryETF | |||
| HYTI | 18.69 | -0.02 | -0.13% |
| FT Vest High Yield & Target Income ETF | |||
| VGI | 7.18 | -0.02 | -0.28% |
| VIRTUS GLOBAL MULTI-SECTOR Income FUND | |||
A.I.dvisor indicates that over the last year, DIVI has been closely correlated with SAN. These tickers have moved in lockstep 74% 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% | +0.98% | ||
| SAN - DIVI | 74% Closely correlated | +2.26% | ||
| ING - DIVI | 74% Closely correlated | +1.64% | ||
| BBVA - DIVI | 72% Closely correlated | +2.46% | ||
| NWG - DIVI | 69% Closely correlated | +2.55% | ||
| RIO - DIVI | 67% Closely correlated | +0.57% | ||
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% | +0.94% | ||
| STM - FNDF | 75% Closely correlated | +1.52% | ||
| BNT - FNDF | 74% Closely correlated | +0.45% | ||
| BHP - FNDF | 72% Closely correlated | -0.23% | ||
| BAM - FNDF | 72% Closely correlated | +0.04% | ||
| RIO - FNDF | 71% Closely correlated | +0.57% | ||
More | ||||