| FTEC | HACK | FTEC / HACK | |
| Gain YTD | -2.266 | -6.532 | 35% |
| Net Assets | 16.3B | 2B | 816% |
| Total Expense Ratio | 0.08 | 0.60 | 14% |
| Turnover | 9.00 | 25.00 | 36% |
| Yield | 0.43 | 0.08 | 555% |
| Fund Existence | 12 years | 11 years | - |
| FTEC | HACK | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 75% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 82% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 83% | 2 days ago 82% |
| Advances ODDS (%) | 8 days ago 87% | 9 days ago 87% |
| Declines ODDS (%) | 6 days ago 83% | 6 days ago 85% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | N/A | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RSHO | 50.52 | 0.81 | +1.63% |
| Tema American Reshoring ETF | |||
| OLOXF | 3.10 | N/A | N/A |
| Deutsche Bank AG (London Branch) | |||
| BDGS | 34.75 | -0.08 | -0.22% |
| Bridges Capital Tactical ETF | |||
| LLDR | 45.26 | -0.26 | -0.58% |
| Global X Long-Term Treasury Ladder ETF | |||
| CRBN | 235.70 | -1.89 | -0.80% |
| iShares Low Carbon Optd MSCI ACWI 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% | -2.30% | ||
| NVDA - FTEC | 85% Closely correlated | -2.84% | ||
| MKSI - FTEC | 79% Closely correlated | -1.71% | ||
| AEIS - FTEC | 79% Closely correlated | +0.46% | ||
| LRCX - FTEC | 79% Closely correlated | -3.12% | ||
| FLEX - FTEC | 78% Closely correlated | +2.03% | ||
More | ||||
A.I.dvisor indicates that over the last year, HACK has been closely correlated with CRWD. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if HACK jumps, then CRWD could also see price increases.
| Ticker / NAME | Correlation To HACK | 1D Price Change % | ||
|---|---|---|---|---|
| HACK | 100% | -3.25% | ||
| CRWD - HACK | 81% Closely correlated | -3.90% | ||
| ZS - HACK | 80% Closely correlated | -6.26% | ||
| PANW - HACK | 80% Closely correlated | -5.23% | ||
| NET - HACK | 71% Closely correlated | -6.64% | ||
| ATEN - HACK | 70% Closely correlated | -2.37% | ||
More | ||||