| IVW | SPUS | IVW / SPUS | |
| Gain YTD | -0.803 | 0.031 | -2,579% |
| Net Assets | 65.6B | 2.01B | 3,272% |
| Total Expense Ratio | 0.18 | 0.45 | 40% |
| Turnover | 31.00 | 18.00 | 172% |
| Yield | 0.40 | 0.59 | 67% |
| Fund Existence | 26 years | 6 years | - |
| IVW | SPUS | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 70% | 1 day ago 67% |
| Momentum ODDS (%) | 1 day ago 85% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 73% | 1 day ago 76% |
| TrendWeek ODDS (%) | 1 day ago 77% | 1 day ago 76% |
| TrendMonth ODDS (%) | 1 day ago 83% | 1 day ago 88% |
| Advances ODDS (%) | 8 days ago 85% | 8 days ago 88% |
| Declines ODDS (%) | 6 days ago 77% | 6 days ago 76% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DJP | 41.19 | 1.15 | +2.87% |
| iPath® Bloomberg Cmdty TR ETN | |||
| EQRR | 67.56 | -0.20 | -0.30% |
| ProShares Equities for Rising Rates ETF | |||
| BKLC | 131.78 | -1.27 | -0.95% |
| BNY Mellon US Large Cap Core Equity ETF | |||
| LLYX | 21.73 | -1.83 | -7.77% |
| Defiance Daily Target 2X Long LLY ETF | |||
| GDXD | 4.77 | -0.73 | -13.27% |
| MicroSectors™ Gold Mns 3X Inv Lvrgd ETN | |||
A.I.dvisor indicates that over the last year, IVW has been closely correlated with NVDA. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if IVW jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To IVW | 1D Price Change % | ||
|---|---|---|---|---|
| IVW | 100% | -1.62% | ||
| NVDA - IVW | 82% Closely correlated | -2.84% | ||
| TRMB - IVW | 79% Closely correlated | -4.80% | ||
| AMZN - IVW | 78% Closely correlated | -1.79% | ||
| ETN - IVW | 78% Closely correlated | +0.86% | ||
| PH - IVW | 77% Closely correlated | +1.30% | ||
More | ||||
A.I.dvisor indicates that over the last year, SPUS has been closely correlated with PH. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPUS jumps, then PH could also see price increases.
| Ticker / NAME | Correlation To SPUS | 1D Price Change % | ||
|---|---|---|---|---|
| SPUS | 100% | -1.22% | ||
| PH - SPUS | 78% Closely correlated | +1.30% | ||
| NVDA - SPUS | 78% Closely correlated | -2.84% | ||
| AMZN - SPUS | 78% Closely correlated | -1.79% | ||
| LRCX - SPUS | 77% Closely correlated | -3.12% | ||
| KLAC - SPUS | 77% Closely correlated | -3.89% | ||
More | ||||