IWM | SMLV | IWM / SMLV | |
Gain YTD | 13.960 | 16.592 | 84% |
Net Assets | 71.2B | 204M | 34,902% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 18.00 | 31.00 | 58% |
Yield | 1.23 | 2.43 | 51% |
Fund Existence | 24 years | 12 years | - |
IWM | SMLV | |
---|---|---|
RSI ODDS (%) | 2 days ago76% | 2 days ago87% |
Stochastic ODDS (%) | 2 days ago81% | 2 days ago77% |
Momentum ODDS (%) | 2 days ago87% | 2 days ago83% |
MACD ODDS (%) | 2 days ago84% | 2 days ago86% |
TrendWeek ODDS (%) | 2 days ago86% | 2 days ago83% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago81% |
Advances ODDS (%) | 2 days ago87% | 2 days ago83% |
Declines ODDS (%) | 15 days ago83% | 10 days ago79% |
BollingerBands ODDS (%) | 2 days ago81% | 2 days ago88% |
Aroon ODDS (%) | N/A | 2 days ago85% |
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 88% 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% | +1.75% | ||
FMBH - SMLV | 88% Closely correlated | +0.78% | ||
NIC - SMLV | 84% Closely correlated | +5.75% | ||
MCBS - SMLV | 83% Closely correlated | +2.19% | ||
SMBK - SMLV | 83% Closely correlated | +2.01% | ||
HONE - SMLV | 83% Closely correlated | +0.15% | ||
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