IWM | XSMO | IWM / XSMO | |
Gain YTD | -3.588 | 1.587 | -226% |
Net Assets | 63.4B | 1.65B | 3,833% |
Total Expense Ratio | 0.19 | 0.39 | 49% |
Turnover | 17.00 | 107.00 | 16% |
Yield | 1.20 | 0.83 | 144% |
Fund Existence | 25 years | 20 years | - |
IWM | XSMO | |
---|---|---|
RSI ODDS (%) | 1 day ago87% | 4 days ago87% |
Stochastic ODDS (%) | 1 day ago90% | 1 day ago82% |
Momentum ODDS (%) | 1 day ago87% | 1 day ago82% |
MACD ODDS (%) | 1 day ago87% | 1 day ago75% |
TrendWeek ODDS (%) | 1 day ago85% | 1 day ago88% |
TrendMonth ODDS (%) | 1 day ago84% | 1 day ago86% |
Advances ODDS (%) | 3 days ago86% | 3 days ago87% |
Declines ODDS (%) | 14 days ago86% | 14 days ago83% |
BollingerBands ODDS (%) | 1 day ago90% | N/A |
Aroon ODDS (%) | 1 day ago80% | 1 day 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, XSMO has been closely correlated with PIPR. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSMO jumps, then PIPR could also see price increases.
Ticker / NAME | Correlation To XSMO | 1D Price Change % | ||
---|---|---|---|---|
XSMO | 100% | -1.08% | ||
PIPR - XSMO | 85% Closely correlated | +0.56% | ||
MC - XSMO | 83% Closely correlated | -0.71% | ||
JXN - XSMO | 82% Closely correlated | -0.10% | ||
TRMK - XSMO | 81% Closely correlated | -0.28% | ||
UFPI - XSMO | 81% Closely correlated | -1.47% | ||
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