| FTEC | IQM | FTEC / IQM | |
| Gain YTD | 22.944 | 31.324 | 73% |
| Net Assets | 16.8B | 52.9M | 31,758% |
| Total Expense Ratio | 0.08 | 0.50 | 17% |
| Turnover | 9.00 | 44.12 | 20% |
| Yield | 0.40 | 0.00 | - |
| Fund Existence | 12 years | 6 years | - |
| FTEC | IQM | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 90% | 7 days ago 90% |
| Stochastic ODDS (%) | 7 days ago 87% | 7 days ago 74% |
| Momentum ODDS (%) | 7 days ago 83% | 7 days ago 88% |
| MACD ODDS (%) | 7 days ago 83% | 7 days ago 90% |
| TrendWeek ODDS (%) | 7 days ago 89% | 7 days ago 89% |
| TrendMonth ODDS (%) | 7 days ago 83% | 7 days ago 78% |
| Advances ODDS (%) | 7 days ago 89% | 7 days ago 88% |
| Declines ODDS (%) | 17 days ago 82% | 14 days ago 76% |
| BollingerBands ODDS (%) | 7 days ago 90% | 7 days ago 90% |
| Aroon ODDS (%) | 7 days ago 87% | 7 days ago 78% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| KOID | 30.03 | 0.05 | +0.18% |
| KraneShares Glbl HmndandEmbdIntlgcIdxETF | |||
| VFMF | 148.25 | 0.10 | +0.07% |
| Vanguard US Multifactor ETF | |||
| UCON | 25.22 | 0.01 | +0.04% |
| First Trust Smith Unconstrained Pl BdETF | |||
| TMET | 29.69 | -0.06 | -0.22% |
| iShares Transition-Enabling Metals ETF | |||
| HIPS | 11.82 | -0.03 | -0.25% |
| GraniteShares HIPS US High Income 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% | +0.99% | ||
| NVDA - FTEC | 85% Closely correlated | +0.76% | ||
| MKSI - FTEC | 80% Closely correlated | +3.27% | ||
| AEIS - FTEC | 79% Closely correlated | +1.54% | ||
| KLAC - FTEC | 79% Closely correlated | +2.82% | ||
| LRCX - FTEC | 79% Closely correlated | +2.21% | ||
More | ||||
A.I.dvisor indicates that over the last year, IQM has been closely correlated with GEV. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if IQM jumps, then GEV could also see price increases.