| VTWO | XSMO | VTWO / XSMO | |
| Gain YTD | 17.193 | 15.490 | 111% |
| Net Assets | 14.3B | 2.11B | 678% |
| Total Expense Ratio | 0.07 | 0.36 | 19% |
| Turnover | 14.00 | 115.00 | 12% |
| Yield | 1.17 | 0.81 | 143% |
| Fund Existence | 15 years | 21 years | - |
| VTWO | XSMO | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| Stochastic ODDS (%) | 3 days ago 83% | 3 days ago 84% |
| Momentum ODDS (%) | 3 days ago 87% | 3 days ago 89% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| TrendWeek ODDS (%) | 3 days ago 84% | 3 days ago 87% |
| TrendMonth ODDS (%) | 3 days ago 83% | 3 days ago 85% |
| Advances ODDS (%) | 3 days ago 87% | 3 days ago 85% |
| Declines ODDS (%) | about 1 month ago 83% | 6 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 85% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 80% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TAFM | 25.46 | 0.04 | +0.16% |
| AB Tax-Aware Intermediate Municipal ETF | |||
| PSH | 50.42 | 0.01 | +0.02% |
| PGIM Short Duration High Yield ETF | |||
| JHHY | 26.07 | -0.02 | -0.08% |
| JHancock High Yield ETF | |||
| SEF | 30.99 | -0.58 | -1.83% |
| ProShares Short Financials | |||
| FNDC | 44.14 | -1.34 | -2.95% |
| Schwab Fundamental International SmEqETF | |||
A.I.dvisor indicates that over the last year, VTWO has been closely correlated with SSD. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if VTWO jumps, then SSD could also see price increases.
| Ticker / NAME | Correlation To VTWO | 1D Price Change % | ||
|---|---|---|---|---|
| VTWO | 100% | +1.16% | ||
| SSD - VTWO | 69% Closely correlated | +1.71% | ||
| FIX - VTWO | 49% Loosely correlated | +0.35% | ||
| ONTO - VTWO | 48% Loosely correlated | -4.75% | ||
| FN - VTWO | 45% Loosely correlated | +2.23% | ||
| MSTR - VTWO | 39% Loosely correlated | -0.73% | ||
More | ||||
A.I.dvisor indicates that over the last year, XSMO has been closely correlated with PIPR. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSMO jumps, then PIPR could also see price increases.
| Ticker / NAME | Correlation To XSMO | 1D Price Change % | ||
|---|---|---|---|---|
| XSMO | 100% | +1.58% | ||
| PIPR - XSMO | 84% Closely correlated | +0.19% | ||
| MC - XSMO | 83% Closely correlated | +0.61% | ||
| ABCB - XSMO | 82% Closely correlated | +0.68% | ||
| UFPI - XSMO | 81% Closely correlated | +1.45% | ||
| FULT - XSMO | 80% Closely correlated | +0.55% | ||
More | ||||