| SMH | WUGI | SMH / WUGI | |
| Gain YTD | 10.427 | -0.790 | -1,319% |
| Net Assets | 43.5B | 29.8M | 145,973% |
| Total Expense Ratio | 0.35 | 0.79 | 44% |
| Turnover | 12.00 | 98.00 | 12% |
| Yield | 0.27 | 0.23 | 121% |
| Fund Existence | 14 years | 6 years | - |
| SMH | WUGI | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 86% | 2 days ago 89% |
| Momentum ODDS (%) | 6 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 83% |
| Advances ODDS (%) | 7 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 10 days ago 83% | 3 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| NFXS | 20.28 | 0.66 | +3.37% |
| Direxion Daily NFLX Bear 1X Shares | |||
| SKF | 26.64 | 0.47 | +1.80% |
| ProShares UltraShort Financials | |||
| AFMC | 36.50 | 0.03 | +0.08% |
| First Trust Active Factor Mid Cap ETF | |||
| EVTR | 51.46 | 0.02 | +0.04% |
| Eaton Vance Total Return Bond ETF | |||
| BRNY | 50.71 | -1.05 | -2.03% |
| Burney U.S. Factor Rotation ETF | |||
A.I.dvisor indicates that over the last year, SMH has been closely correlated with NVDA. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | -2.52% | ||
| NVDA - SMH | 86% Closely correlated | -2.84% | ||
| LRCX - SMH | 86% Closely correlated | -3.12% | ||
| KLAC - SMH | 83% Closely correlated | -3.89% | ||
| TSM - SMH | 83% Closely correlated | -1.64% | ||
| AMAT - SMH | 81% Closely correlated | -2.96% | ||
More | ||||
A.I.dvisor indicates that over the last year, WUGI has been loosely correlated with KVYO. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if WUGI jumps, then KVYO could also see price increases.
| Ticker / NAME | Correlation To WUGI | 1D Price Change % | ||
|---|---|---|---|---|
| WUGI | 100% | N/A | ||
| KVYO - WUGI | 45% Loosely correlated | -10.68% | ||
| GTLB - WUGI | 20% Poorly correlated | -7.10% | ||
| AMAT - WUGI | 19% Poorly correlated | -2.96% | ||
| DUOL - WUGI | 12% Poorly correlated | -8.83% | ||
| XYZ - WUGI | 9% Poorly correlated | -5.98% | ||
More | ||||