| IWO | XSMO | IWO / XSMO | |
| Gain YTD | 12.392 | 14.468 | 86% |
| Net Assets | 14.2B | 2.9B | 490% |
| Total Expense Ratio | 0.24 | 0.35 | 69% |
| Turnover | 32.00 | 121.00 | 26% |
| Yield | 0.44 | 0.57 | 77% |
| Fund Existence | 26 years | 22 years | - |
| IWO | XSMO | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 86% | 4 days ago 79% |
| MACD ODDS (%) | 4 days ago 80% | 4 days ago 77% |
| TrendWeek ODDS (%) | 4 days ago 84% | 4 days ago 83% |
| TrendMonth ODDS (%) | 4 days ago 86% | 4 days ago 83% |
| Advances ODDS (%) | 18 days ago 87% | 5 days ago 86% |
| Declines ODDS (%) | 6 days ago 81% | 7 days ago 81% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 88% | 4 days ago 77% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CHNU | 31.24 | 4.15 | +15.31% |
| Volatility Shares 2x Chainlink ETF (CHNU) | |||
| BALI | 34.41 | 0.04 | +0.12% |
| iShares U.S. Large Cap Premium Income Active ETF (BALI) | |||
| QDIV | 39.69 | N/A | N/A |
| Global X S&P 500 Quality Dividend ETF (QDIV) | |||
| ERH | 10.66 | -0.07 | -0.65% |
| Allspring Utilities and High Income Fund | |||
| ISVL | 54.11 | -0.52 | -0.95% |
| iShares International Developed Small Cap Value Factor ETF (ISVL) | |||
A.I.dvisor indicates that over the last year, IWO has been loosely correlated with SSD. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if IWO jumps, then SSD could also see price increases.
| Ticker / NAME | Correlation To IWO | 1D Price Change % | ||
|---|---|---|---|---|
| IWO | 100% | -0.43% | ||
| SSD - IWO | 59% Loosely correlated | -0.70% | ||
| AIT - IWO | 58% Loosely correlated | +1.53% | ||
| FIX - IWO | 45% Loosely correlated | +4.92% | ||
| ONTO - IWO | 45% Loosely correlated | +5.36% | ||
| SMCI - IWO | 36% Loosely correlated | -3.12% | ||
More | ||||
A.I.dvisor indicates that over the last year, XSMO has been closely correlated with UFPI. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSMO jumps, then UFPI could also see price increases.
| Ticker / NAME | Correlation To XSMO | 1D Price Change % | ||
|---|---|---|---|---|
| XSMO | 100% | -0.11% | ||
| UFPI - XSMO | 81% Closely correlated | -0.06% | ||
| CSW - XSMO | 74% Closely correlated | -0.34% | ||
| BHE - XSMO | 73% Closely correlated | +1.14% | ||
| NPO - XSMO | 73% Closely correlated | +1.95% | ||
| WTS - XSMO | 71% Closely correlated | +0.05% | ||
More | ||||