| FTEC | HACK | FTEC / HACK | |
| Gain YTD | 24.171 | 10.082 | 240% |
| Net Assets | 17B | 2.15B | 792% |
| Total Expense Ratio | 0.08 | 0.60 | 14% |
| Turnover | 9.00 | 25.00 | 36% |
| Yield | 0.40 | 0.06 | 623% |
| Fund Existence | 12 years | 11 years | - |
| FTEC | HACK | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 90% | 3 days ago 83% |
| Stochastic ODDS (%) | 3 days ago 83% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 86% | 3 days ago 86% |
| MACD ODDS (%) | 3 days ago 87% | 3 days ago 83% |
| TrendWeek ODDS (%) | 3 days ago 89% | 3 days ago 87% |
| TrendMonth ODDS (%) | 3 days ago 87% | 3 days ago 81% |
| Advances ODDS (%) | 3 days ago 88% | 3 days ago 87% |
| Declines ODDS (%) | 14 days ago 82% | 12 days ago 85% |
| BollingerBands ODDS (%) | 3 days ago 89% | 3 days ago 85% |
| Aroon ODDS (%) | 3 days ago 84% | 3 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| JMHI | 50.37 | 0.02 | +0.04% |
| JPMorgan High Yield Municipal ETF | |||
| NMAR | 29.47 | N/A | N/A |
| Innovator Growth-100 Pwr Buffr ETF - Mar | |||
| IBHF | 23.09 | -0.02 | -0.09% |
| iShares iBonds 2026 Term HY & Inc ETF | |||
| FLCV | 31.68 | -0.04 | -0.11% |
| Federated Hermes MDT Large Cap Value ETF | |||
| BBP | 81.63 | -0.99 | -1.20% |
| Virtus LifeSci Biotech Products ETF | |||
A.I.dvisor indicates that over the last year, FTEC has been closely correlated with NVDA. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTEC jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To FTEC | 1D Price Change % | ||
|---|---|---|---|---|
| FTEC | 100% | +0.08% | ||
| NVDA - FTEC | 85% Closely correlated | +1.02% | ||
| MKSI - FTEC | 80% Closely correlated | +0.48% | ||
| AEIS - FTEC | 79% Closely correlated | +0.29% | ||
| KLAC - FTEC | 79% Closely correlated | +0.20% | ||
| LRCX - FTEC | 79% Closely correlated | +0.42% | ||
More | ||||
A.I.dvisor indicates that over the last year, HACK has been closely correlated with PANW. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if HACK jumps, then PANW could also see price increases.
| Ticker / NAME | Correlation To HACK | 1D Price Change % | ||
|---|---|---|---|---|
| HACK | 100% | +0.09% | ||
| PANW - HACK | 80% Closely correlated | +0.66% | ||
| ZS - HACK | 80% Closely correlated | +0.40% | ||
| CRWD - HACK | 80% Closely correlated | +0.86% | ||
| NET - HACK | 72% Closely correlated | -0.13% | ||
| CYBR - HACK | 70% Closely correlated | +0.62% | ||
More | ||||