FTEC | IQM | FTEC / IQM | |
Gain YTD | 21.565 | 31.941 | 68% |
Net Assets | 16.4B | 52.8M | 31,061% |
Total Expense Ratio | 0.08 | 0.50 | 17% |
Turnover | 9.00 | 44.12 | 20% |
Yield | 0.41 | 0.00 | - |
Fund Existence | 12 years | 6 years | - |
FTEC | IQM | |
---|---|---|
RSI ODDS (%) | 3 days ago82% | 3 days ago70% |
Stochastic ODDS (%) | 3 days ago87% | 3 days ago73% |
Momentum ODDS (%) | 3 days ago78% | 3 days ago81% |
MACD ODDS (%) | 3 days ago83% | 3 days ago74% |
TrendWeek ODDS (%) | 3 days ago89% | 3 days ago89% |
TrendMonth ODDS (%) | 3 days ago88% | 3 days ago90% |
Advances ODDS (%) | 18 days ago88% | 18 days ago88% |
Declines ODDS (%) | 10 days ago83% | 3 days ago76% |
BollingerBands ODDS (%) | 3 days ago82% | 3 days ago78% |
Aroon ODDS (%) | 3 days ago90% | 3 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% | +0.09% | ||
NVDA - FTEC | 85% Closely correlated | +0.78% | ||
MKSI - FTEC | 80% Closely correlated | -0.89% | ||
AEIS - FTEC | 79% Closely correlated | -0.12% | ||
FLEX - FTEC | 78% Closely correlated | -1.89% | ||
APH - FTEC | 77% Closely correlated | -1.34% | ||
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A.I.dvisor tells us that IQM and RUN have been poorly correlated (+9% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that IQM and RUN's prices will move in lockstep.
Ticker / NAME | Correlation To IQM | 1D Price Change % | ||
---|---|---|---|---|
IQM | 100% | -0.41% | ||
RUN - IQM | 9% Poorly correlated | -3.13% | ||
ENPH - IQM | 6% Poorly correlated | -2.66% | ||
SEDG - IQM | 5% Poorly correlated | -7.70% | ||
WOLF - IQM | 5% Poorly correlated | -4.44% | ||
SMR - IQM | 5% Poorly correlated | -7.12% | ||
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