| IWM | XSMO | IWM / XSMO | |
| Gain YTD | 6.752 | 7.374 | 92% |
| Net Assets | 75.1B | 2.25B | 3,333% |
| Total Expense Ratio | 0.19 | 0.36 | 53% |
| Turnover | 18.00 | 115.00 | 16% |
| Yield | 0.98 | 0.71 | 139% |
| Fund Existence | 26 years | 21 years | - |
| IWM | XSMO | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 86% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 85% | 1 day ago 89% |
| Momentum ODDS (%) | 1 day ago 85% | 1 day ago 89% |
| MACD ODDS (%) | 1 day ago 89% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 84% | 1 day ago 87% |
| TrendMonth ODDS (%) | 1 day ago 83% | 1 day ago 85% |
| Advances ODDS (%) | 1 day ago 86% | 1 day ago 85% |
| Declines ODDS (%) | 10 days ago 83% | 13 days ago 82% |
| BollingerBands ODDS (%) | 1 day ago 77% | 1 day ago 88% |
| Aroon ODDS (%) | 1 day ago 81% | 1 day ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SETM | 37.03 | 2.24 | +6.42% |
| Sprott Critical Materials ETF | |||
| SBI | 7.87 | 0.01 | +0.06% |
| Western Asset Intermediate Muni Fund | |||
| SPDG | 43.80 | -0.05 | -0.12% |
| State Street SPDR PortS&PSectNetrlDivETF | |||
| VTHR | 304.41 | -2.44 | -0.80% |
| Vanguard Russell 3000 ETF | |||
| CLCG | 26.14 | -0.51 | -1.91% |
| Crossmark Large Cap Growth ETF | |||
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.
| Ticker / NAME | Correlation To IWM | 1D Price Change % | ||
|---|---|---|---|---|
| IWM | 100% | +0.23% | ||
| APG - IWM | 68% Closely correlated | +0.28% | ||
| SSD - IWM | 64% Loosely correlated | +1.94% | ||
| LNWO - IWM | 54% Loosely correlated | +3.98% | ||
| CVNA - IWM | 50% Loosely correlated | +0.61% | ||
| FIX - IWM | 46% Loosely correlated | +2.87% | ||
More | ||||
A.I.dvisor indicates that over the last year, XSMO has been closely correlated with MC. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSMO jumps, then MC could also see price increases.
| Ticker / NAME | Correlation To XSMO | 1D Price Change % | ||
|---|---|---|---|---|
| XSMO | 100% | +0.03% | ||
| MC - XSMO | 83% Closely correlated | -3.17% | ||
| ABCB - XSMO | 83% Closely correlated | +3.84% | ||
| STEP - XSMO | 81% Closely correlated | -9.71% | ||
| FBK - XSMO | 81% Closely correlated | +2.13% | ||
| FULT - XSMO | 81% Closely correlated | +2.66% | ||
More | ||||