| SPMO | VUG | SPMO / VUG | |
| Gain YTD | 21.371 | 7.872 | 271% |
| Net Assets | 22.7B | 385B | 6% |
| Total Expense Ratio | 0.13 | 0.03 | 433% |
| Turnover | 44.00 | 12.00 | 367% |
| Yield | 0.71 | 0.38 | 185% |
| Fund Existence | 11 years | 23 years | - |
| SPMO | VUG | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 4 days ago 75% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 82% | 4 days ago 80% |
| MACD ODDS (%) | 4 days ago 79% | 4 days ago 82% |
| TrendWeek ODDS (%) | 4 days ago 84% | 4 days ago 80% |
| TrendMonth ODDS (%) | 4 days ago 84% | 4 days ago 86% |
| Advances ODDS (%) | 7 days ago 82% | 12 days ago 85% |
| Declines ODDS (%) | 5 days ago 76% | 5 days ago 79% |
| BollingerBands ODDS (%) | 4 days ago 76% | N/A |
| Aroon ODDS (%) | 4 days ago 88% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IBMO | 25.63 | N/A | +0.02% |
| iShares iBonds Dec 2026 Term Muni Bd ETF | |||
| SWAN | 32.54 | -0.14 | -0.43% |
| Amplify BlackSwan Gr & Trsry Cor ETF | |||
| SPXV | 83.34 | -0.55 | -0.66% |
| ProShares S&P 500® ex-Health Care | |||
| FLJP | 41.55 | -0.35 | -0.84% |
| Franklin FTSE Japan ETF | |||
| YXI | 22.27 | -0.22 | -1.00% |
| ProShares Short FTSE China 50 | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with GLW. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then GLW could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | -2.78% | ||
| GLW - SPMO | 72% Closely correlated | -13.70% | ||
| ETN - SPMO | 72% Closely correlated | -7.57% | ||
| CMI - SPMO | 65% Loosely correlated | -2.81% | ||
| PWR - SPMO | 65% Loosely correlated | -4.39% | ||
| GEV - SPMO | 62% Loosely correlated | -8.62% | ||
More | ||||
A.I.dvisor indicates that over the last year, VUG has been closely correlated with RVTY. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if VUG jumps, then RVTY could also see price increases.
| Ticker / NAME | Correlation To VUG | 1D Price Change % | ||
|---|---|---|---|---|
| VUG | 100% | -0.35% | ||
| RVTY - VUG | 70% Closely correlated | +3.36% | ||
| SWKS - VUG | 57% Loosely correlated | -10.29% | ||
| MCHP - VUG | 56% Loosely correlated | -3.67% | ||
| ADI - VUG | 55% Loosely correlated | -4.69% | ||
| ZM - VUG | 54% Loosely correlated | -0.22% | ||
More | ||||