| DFAS | XSMO | DFAS / XSMO | |
| Gain YTD | 10.206 | 13.632 | 75% |
| Net Assets | 12.3B | 2.12B | 580% |
| Total Expense Ratio | 0.27 | 0.36 | 75% |
| Turnover | 8.00 | 115.00 | 7% |
| Yield | 0.96 | 0.81 | 118% |
| Fund Existence | 27 years | 21 years | - |
| DFAS | XSMO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 87% | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 85% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 84% |
| Advances ODDS (%) | 6 days ago 82% | 6 days ago 85% |
| Declines ODDS (%) | 11 days ago 83% | 11 days ago 82% |
| BollingerBands ODDS (%) | N/A | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 76% | 2 days ago 81% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CBLS | 27.92 | 0.02 | +0.06% |
| Clough Hedged Equity ETF | |||
| CBXA | 26.90 | 0.01 | +0.05% |
| Calamos Bitcoin 90 Series Structured Alt Protection ETF - April | |||
| TAFI | 25.26 | -0.02 | -0.08% |
| AB Tax-Aware Short Duration ETF | |||
| HYTR | 21.72 | -0.04 | -0.17% |
| Counterpoint High Yield Trend ETF | |||
| GEVX | 32.00 | -0.43 | -1.33% |
| Tradr 2X Long GEV Daily ETF | |||
A.I.dvisor indicates that over the last year, DFAS has been closely correlated with UFPI. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if DFAS jumps, then UFPI could also see price increases.
| Ticker / NAME | Correlation To DFAS | 1D Price Change % | ||
|---|---|---|---|---|
| DFAS | 100% | -0.08% | ||
| UFPI - DFAS | 82% Closely correlated | +0.91% | ||
| IBP - DFAS | 70% Closely correlated | +0.52% | ||
| AIT - DFAS | 65% Loosely correlated | +0.17% | ||
| CMC - DFAS | 62% Loosely correlated | +0.71% | ||
| ENSG - DFAS | 48% Loosely correlated | -0.12% | ||
More | ||||
A.I.dvisor indicates that over the last year, XSMO has been closely correlated with PIPR. These tickers have moved in lockstep 84% 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% | -0.12% | ||
| PIPR - XSMO | 84% Closely correlated | +0.07% | ||
| MC - XSMO | 83% Closely correlated | +0.65% | ||
| ABCB - XSMO | 82% Closely correlated | -0.77% | ||
| UFPI - XSMO | 81% Closely correlated | +0.91% | ||
| FULT - XSMO | 80% Closely correlated | -0.59% | ||
More | ||||