FTEC | WUGI | FTEC / WUGI | |
Gain YTD | 19.404 | 22.678 | 86% |
Net Assets | 16B | 35.8M | 44,693% |
Total Expense Ratio | 0.08 | 0.79 | 11% |
Turnover | 10.00 | 98.00 | 10% |
Yield | 0.43 | 0.00 | - |
Fund Existence | 12 years | 6 years | - |
FTEC | WUGI | |
---|---|---|
RSI ODDS (%) | 3 days ago80% | 3 days ago79% |
Stochastic ODDS (%) | 3 days ago81% | 3 days ago81% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago90% |
MACD ODDS (%) | 3 days ago85% | 3 days ago88% |
TrendWeek ODDS (%) | 3 days ago81% | 3 days ago82% |
TrendMonth ODDS (%) | 3 days ago88% | 3 days ago89% |
Advances ODDS (%) | 7 days ago88% | 7 days ago90% |
Declines ODDS (%) | 4 days ago83% | 12 days ago81% |
BollingerBands ODDS (%) | 3 days ago89% | 3 days ago74% |
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% | +0.29% | ||
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% | ||
LRCX - FTEC | 77% Closely correlated | +0.16% | ||
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A.I.dvisor tells us that WUGI and U have been poorly correlated (+10% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WUGI and U's prices will move in lockstep.
Ticker / NAME | Correlation To WUGI | 1D Price Change % | ||
---|---|---|---|---|
WUGI | 100% | N/A | ||
U - WUGI | 10% Poorly correlated | +1.54% | ||
ASML - WUGI | 8% Poorly correlated | +0.21% | ||
NET - WUGI | 7% Poorly correlated | -0.85% | ||
SE - WUGI | 6% Poorly correlated | -0.72% | ||
META - WUGI | 6% Poorly correlated | -0.69% | ||
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