QQQM | SPYG | VUG | |
Gain YTD | 8.681 | 10.401 | 8.573 |
Net Assets | 55B | 38.5B | 312B |
Total Expense Ratio | 0.15 | 0.04 | 0.04 |
Turnover | 8.00 | 32.00 | 11.00 |
Yield | 0.53 | 0.56 | 0.44 |
Fund Existence | 5 years | 25 years | 22 years |
QQQM | SPYG | VUG | |
---|---|---|---|
RSI ODDS (%) | 3 days ago90% | 3 days ago76% | 3 days ago80% |
Stochastic ODDS (%) | 3 days ago76% | 3 days ago74% | 3 days ago72% |
Momentum ODDS (%) | 3 days ago78% | 3 days ago74% | 3 days ago76% |
MACD ODDS (%) | 3 days ago77% | 3 days ago68% | 3 days ago64% |
TrendWeek ODDS (%) | 3 days ago80% | 3 days ago76% | 3 days ago78% |
TrendMonth ODDS (%) | 3 days ago87% | 3 days ago87% | 3 days ago87% |
Advances ODDS (%) | 7 days ago87% | 7 days ago86% | 4 days ago88% |
Declines ODDS (%) | 3 days ago81% | 3 days ago76% | 24 days ago81% |
BollingerBands ODDS (%) | 3 days ago90% | 3 days ago82% | N/A |
Aroon ODDS (%) | 3 days ago89% | 3 days ago88% | 3 days ago88% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
NAZ | 11.75 | 0.21 | +1.82% |
Nuveen Arizona Quality Municipal Income Fund | |||
RSPE | 27.38 | -0.32 | -1.14% |
Invesco ESG S&P 500 Equal Weight ETF | |||
DXJ | 117.54 | -1.82 | -1.52% |
WisdomTree Japan Hedged Equity ETF | |||
SPHB | 100.88 | -1.92 | -1.87% |
Invesco S&P 500® High Beta ETF | |||
CBTJ | 28.03 | -0.68 | -2.37% |
Calamos Bitcoin 80 Str Alt Prt ETF-Jan |
A.I.dvisor indicates that over the last year, QQQM has been closely correlated with CDNS. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if QQQM jumps, then CDNS could also see price increases.
Ticker / NAME | Correlation To QQQM | 1D Price Change % | ||
---|---|---|---|---|
QQQM | 100% | -1.96% | ||
CDNS - QQQM | 80% Closely correlated | -2.08% | ||
LRCX - QQQM | 79% Closely correlated | +1.61% | ||
SNPS - QQQM | 78% Closely correlated | -2.34% | ||
KLAC - QQQM | 78% Closely correlated | +0.87% | ||
AMAT - QQQM | 76% Closely correlated | -0.04% | ||
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A.I.dvisor indicates that over the last year, SPYG has been closely correlated with META. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPYG jumps, then META could also see price increases.
Ticker / NAME | Correlation To SPYG | 1D Price Change % | ||
---|---|---|---|---|
SPYG | 100% | -1.83% | ||
META - SPYG | 80% Closely correlated | -3.03% | ||
APH - SPYG | 78% Closely correlated | -2.07% | ||
PH - SPYG | 78% Closely correlated | -2.70% | ||
CDNS - SPYG | 78% Closely correlated | -2.08% | ||
LRCX - SPYG | 77% Closely correlated | +1.61% | ||
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A.I.dvisor indicates that over the last year, VUG has been closely correlated with AMZN. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if VUG jumps, then AMZN could also see price increases.
Ticker / NAME | Correlation To VUG | 1D Price Change % | ||
---|---|---|---|---|
VUG | 100% | -2.23% | ||
AMZN - VUG | 82% Closely correlated | -8.27% | ||
META - VUG | 81% Closely correlated | -3.03% | ||
NVDA - VUG | 80% Closely correlated | -2.33% | ||
MSFT - VUG | 77% Closely correlated | -1.76% | ||
ARES - VUG | 76% Closely correlated | -1.46% | ||
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