| DFAS | XSMO | DFAS / XSMO | |
| Gain YTD | 15.830 | 24.795 | 64% |
| Net Assets | 14.8B | 2.98B | 497% |
| Total Expense Ratio | 0.26 | 0.36 | 72% |
| Turnover | 6.00 | 115.00 | 5% |
| Yield | 0.92 | 0.53 | 175% |
| Fund Existence | 28 years | 21 years | - |
| DFAS | XSMO | |
|---|---|---|
| RSI ODDS (%) | N/A | 7 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 83% | 3 days ago 87% |
| Momentum ODDS (%) | 3 days ago 84% | 3 days ago 88% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| TrendWeek ODDS (%) | 3 days ago 85% | 3 days ago 88% |
| TrendMonth ODDS (%) | 3 days ago 82% | 3 days ago 86% |
| Advances ODDS (%) | 3 days ago 83% | 3 days ago 86% |
| Declines ODDS (%) | N/A | 5 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 85% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 83% | 3 days ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| QCOC | 23.77 | 0.05 | +0.23% |
| FT Vest Nasdaq-100® Cnsrv Buffr ETF -Oct | |||
| DMAR | 44.52 | 0.06 | +0.14% |
| FT Vest US Equity Deep Bffr ETF Mar | |||
| VNLA | 48.97 | 0.01 | +0.02% |
| Janus Henderson Short Duration Inc ETF | |||
| FBYY | 12.40 | N/A | N/A |
| Graniteshares YieldBOOST Meta ETF | |||
| CEV | 10.31 | -0.03 | -0.29% |
| Eaton Vance California Municipal Income Trust | |||
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% | +1.02% | ||
| UFPI - DFAS | 82% Closely correlated | +0.14% | ||
| IBP - DFAS | 70% Closely correlated | -0.20% | ||
| AIT - DFAS | 65% Loosely correlated | +0.38% | ||
| CMC - DFAS | 62% Loosely correlated | +0.01% | ||
| ENSG - DFAS | 48% Loosely correlated | +1.52% | ||
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% | +1.22% | ||
| UFPI - XSMO | 81% Closely correlated | +0.14% | ||
| BHE - XSMO | 74% Closely correlated | +1.06% | ||
| CSW - XSMO | 74% Closely correlated | -0.93% | ||
| NPO - XSMO | 72% Closely correlated | -0.12% | ||
| WTS - XSMO | 71% Closely correlated | +3.81% | ||
More | ||||