IVW | SPMO | IVW / SPMO | |
Gain YTD | 8.489 | 18.415 | 46% |
Net Assets | 60.6B | 9.73B | 623% |
Total Expense Ratio | 0.18 | 0.13 | 138% |
Turnover | 31.00 | 72.00 | 43% |
Yield | 0.46 | 0.58 | 79% |
Fund Existence | 25 years | 10 years | - |
IVW | SPMO | |
---|---|---|
RSI ODDS (%) | 1 day ago77% | 2 days ago71% |
Stochastic ODDS (%) | 1 day ago80% | 2 days ago71% |
Momentum ODDS (%) | N/A | 2 days ago86% |
MACD ODDS (%) | 1 day ago85% | 2 days ago80% |
TrendWeek ODDS (%) | 1 day ago77% | 2 days ago86% |
TrendMonth ODDS (%) | 1 day ago87% | 2 days ago85% |
Advances ODDS (%) | 6 days ago86% | 6 days ago85% |
Declines ODDS (%) | 1 day ago78% | N/A |
BollingerBands ODDS (%) | 1 day ago79% | 2 days ago78% |
Aroon ODDS (%) | 1 day ago88% | 2 days ago84% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
MAYT | 34.86 | N/A | N/A |
AllianzIM U.S. Large Cp Buffer10 May ETF | |||
VSMV | 49.62 | -0.32 | -0.64% |
VictoryShares US Mult-Fctr Mnmm Vltl ETF | |||
FNY | 82.93 | -0.56 | -0.67% |
First Trust Mid Cap Growth AlphaDEX® ETF | |||
FLCV | 29.68 | -0.22 | -0.75% |
Federated Hermes MDT Large Cap Value ETF | |||
FLJP | 31.29 | -0.74 | -2.31% |
Franklin FTSE Japan ETF |
A.I.dvisor indicates that over the last year, IVW has been closely correlated with META. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if IVW jumps, then META could also see price increases.
Ticker / NAME | Correlation To IVW | 1D Price Change % | ||
---|---|---|---|---|
IVW | 100% | -0.23% | ||
META - IVW | 79% Closely correlated | +0.32% | ||
LRCX - IVW | 79% Closely correlated | +1.72% | ||
CDNS - IVW | 78% Closely correlated | +0.93% | ||
KKR - IVW | 77% Closely correlated | +1.77% | ||
SNPS - IVW | 77% Closely correlated | +2.79% | ||
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A.I.dvisor indicates that over the last year, SPMO has been closely correlated with KKR. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then KKR could also see price increases.
Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
---|---|---|---|---|
SPMO | 100% | -0.39% | ||
KKR - SPMO | 80% Closely correlated | -2.21% | ||
APO - SPMO | 78% Closely correlated | -2.04% | ||
TT - SPMO | 74% Closely correlated | -0.64% | ||
CDNS - SPMO | 74% Closely correlated | -1.99% | ||
SNPS - SPMO | 73% Closely correlated | -2.23% | ||
More |