| HACK | SMH | HACK / SMH | |
| Gain YTD | 15.479 | 46.810 | 33% |
| Net Assets | 2.32B | 37.6B | 6% |
| Total Expense Ratio | 0.60 | 0.35 | 171% |
| Turnover | 71.00 | 15.00 | 473% |
| Yield | 0.06 | 0.30 | 21% |
| Fund Existence | 11 years | 14 years | - |
| HACK | SMH | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 80% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| Momentum ODDS (%) | 2 days ago 83% | 2 days ago 89% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| Advances ODDS (%) | 3 days ago 88% | 17 days ago 90% |
| Declines ODDS (%) | 10 days ago 84% | 7 days ago 82% |
| BollingerBands ODDS (%) | 7 days ago 85% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CGBL | 35.04 | 0.09 | +0.26% |
| Capital Group Core Balanced ETF | |||
| CCNR | 32.50 | 0.05 | +0.16% |
| ALPS/CoreCommodity Natural Resources ETF | |||
| XTOC | 33.05 | 0.02 | +0.07% |
| Innovator US Equity Acclrtd Pls ETF™ Oct | |||
| ECOW | 25.57 | 0.01 | +0.03% |
| Pacer Emerging Markets Cash Cows 100 ETF | |||
| GRPM | 119.07 | -0.12 | -0.10% |
| Invesco S&P MidCap 400® GARP ETF | |||
A.I.dvisor indicates that over the last year, HACK has been closely correlated with ZS. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if HACK jumps, then ZS could also see price increases.
| Ticker / NAME | Correlation To HACK | 1D Price Change % | ||
|---|---|---|---|---|
| HACK | 100% | -1.30% | ||
| ZS - HACK | 82% Closely correlated | -4.29% | ||
| PANW - HACK | 80% Closely correlated | -3.77% | ||
| CRWD - HACK | 79% Closely correlated | -1.95% | ||
| NET - HACK | 71% Closely correlated | -3.95% | ||
| CYBR - HACK | 70% Closely correlated | -3.41% | ||
More | ||||
A.I.dvisor indicates that over the last year, SMH has been closely correlated with KLAC. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then KLAC could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | +1.28% | ||
| KLAC - SMH | 87% Closely correlated | +0.68% | ||
| NVDA - SMH | 86% Closely correlated | +0.33% | ||
| TSM - SMH | 85% Closely correlated | -0.19% | ||
| LRCX - SMH | 81% Closely correlated | +1.41% | ||
| AMAT - SMH | 81% Closely correlated | +0.90% | ||
More | ||||