CANQ | GDMA | CANQ / GDMA | |
Gain YTD | 7.857 | 14.220 | 55% |
Net Assets | 26.3M | 143M | 18% |
Total Expense Ratio | 0.89 | 0.78 | 114% |
Turnover | 9.00 | 674.00 | 1% |
Yield | 5.23 | 2.07 | 253% |
Fund Existence | 2 years | 7 years | - |
CANQ | GDMA | |
---|---|---|
RSI ODDS (%) | 2 days ago69% | 2 days ago73% |
Stochastic ODDS (%) | 2 days ago72% | 2 days ago62% |
Momentum ODDS (%) | 2 days ago52% | 2 days ago66% |
MACD ODDS (%) | 2 days ago50% | 2 days ago60% |
TrendWeek ODDS (%) | 2 days ago88% | 2 days ago74% |
TrendMonth ODDS (%) | 2 days ago88% | 2 days ago74% |
Advances ODDS (%) | 14 days ago90% | 15 days ago72% |
Declines ODDS (%) | 7 days ago67% | 7 days ago57% |
BollingerBands ODDS (%) | 2 days ago61% | 2 days ago52% |
Aroon ODDS (%) | 2 days ago88% | 2 days ago71% |
A.I.dvisor indicates that over the last year, CANQ has been closely correlated with NVDA. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if CANQ jumps, then NVDA could also see price increases.
Ticker / NAME | Correlation To CANQ | 1D Price Change % | ||
---|---|---|---|---|
CANQ | 100% | +0.16% | ||
NVDA - CANQ | 70% Closely correlated | +1.09% | ||
MSFT - CANQ | 66% Loosely correlated | -0.44% | ||
AAPL - CANQ | 61% Loosely correlated | +0.95% | ||
META - CANQ | 61% Loosely correlated | +0.11% | ||
GOOGL - CANQ | 57% Loosely correlated | -0.65% | ||
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A.I.dvisor tells us that GDMA and NEM have been poorly correlated (+16% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GDMA and NEM's prices will move in lockstep.
Ticker / NAME | Correlation To GDMA | 1D Price Change % | ||
---|---|---|---|---|
GDMA | 100% | +0.19% | ||
NEM - GDMA | 16% Poorly correlated | +1.87% | ||
LMT - GDMA | 11% Poorly correlated | +1.73% | ||
AEE - GDMA | 10% Poorly correlated | +0.11% | ||
NOC - GDMA | 10% Poorly correlated | +1.07% | ||
DLTR - GDMA | 10% Poorly correlated | +0.16% | ||
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