FTEC | IQM | FTEC / IQM | |
Gain YTD | 19.404 | 28.293 | 69% |
Net Assets | 16B | 47.2M | 33,898% |
Total Expense Ratio | 0.08 | 0.50 | 17% |
Turnover | 10.00 | 44.12 | 23% |
Yield | 0.43 | 0.00 | - |
Fund Existence | 12 years | 6 years | - |
FTEC | IQM | |
---|---|---|
RSI ODDS (%) | 4 days ago80% | 4 days ago67% |
Stochastic ODDS (%) | 4 days ago81% | 4 days ago74% |
Momentum ODDS (%) | 4 days ago90% | 4 days ago90% |
MACD ODDS (%) | 4 days ago85% | 4 days ago89% |
TrendWeek ODDS (%) | 4 days ago81% | 4 days ago78% |
TrendMonth ODDS (%) | 4 days ago88% | 4 days ago90% |
Advances ODDS (%) | 8 days ago88% | 8 days ago88% |
Declines ODDS (%) | 5 days ago83% | 5 days ago77% |
BollingerBands ODDS (%) | 4 days ago89% | N/A |
Aroon ODDS (%) | 4 days ago90% | 4 days ago90% |
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% | +0.29% | ||
NVDA - FTEC | 85% Closely correlated | +0.28% | ||
MKSI - FTEC | 80% Closely correlated | -0.36% | ||
AEIS - FTEC | 79% Closely correlated | -0.53% | ||
APH - FTEC | 77% Closely correlated | +0.22% | ||
FLEX - FTEC | 77% Closely correlated | +0.62% | ||
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A.I.dvisor tells us that IQM and AAPL have been poorly correlated (+17% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that IQM and AAPL's prices will move in lockstep.
Ticker / NAME | Correlation To IQM | 1D Price Change % | ||
---|---|---|---|---|
IQM | 100% | +0.20% | ||
AAPL - IQM | 17% Poorly correlated | -0.55% | ||
FSLR - IQM | 17% Poorly correlated | -1.36% | ||
IDXX - IQM | 15% Poorly correlated | +2.27% | ||
CDNS - IQM | 14% Poorly correlated | -0.27% | ||
MPWR - IQM | 14% Poorly correlated | -0.43% | ||
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