IWM | SMLV | IWM / SMLV | |
Gain YTD | 14.834 | 22.790 | 65% |
Net Assets | 77.9B | 214M | 36,402% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 18.00 | 31.00 | 58% |
Yield | 1.23 | 2.43 | 51% |
Fund Existence | 25 years | 12 years | - |
IWM | SMLV | |
---|---|---|
RSI ODDS (%) | 3 days ago85% | 3 days ago87% |
Stochastic ODDS (%) | 3 days ago89% | 3 days ago77% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago89% |
MACD ODDS (%) | 3 days ago86% | 3 days ago86% |
TrendWeek ODDS (%) | 3 days ago83% | 3 days ago81% |
TrendMonth ODDS (%) | 3 days ago85% | 3 days ago81% |
Advances ODDS (%) | 7 days ago87% | 7 days ago83% |
Declines ODDS (%) | 3 days ago84% | 3 days ago78% |
BollingerBands ODDS (%) | 3 days ago80% | 3 days ago87% |
Aroon ODDS (%) | 3 days ago83% | 3 days ago74% |
A.I.dvisor indicates that over the last year, IWM has been closely correlated with APG. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if IWM jumps, then APG could also see price increases.
A.I.dvisor indicates that over the last year, SMLV has been closely correlated with FMBH. These tickers have moved in lockstep 91% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMLV jumps, then FMBH could also see price increases.
Ticker / NAME | Correlation To SMLV | 1D Price Change % | ||
---|---|---|---|---|
SMLV | 100% | -0.66% | ||
FMBH - SMLV | 91% Closely correlated | +1.08% | ||
NIC - SMLV | 86% Closely correlated | +0.04% | ||
MCBS - SMLV | 86% Closely correlated | -0.44% | ||
OBK - SMLV | 85% Closely correlated | -0.72% | ||
SMBK - SMLV | 84% Closely correlated | -0.80% | ||
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