| DFAS | XSMO | DFAS / XSMO | |
| Gain YTD | 6.134 | 10.618 | 58% |
| Net Assets | 11.4B | 2B | 571% |
| Total Expense Ratio | 0.27 | 0.36 | 75% |
| Turnover | 8.00 | 115.00 | 7% |
| Yield | 0.99 | 0.84 | 118% |
| Fund Existence | 27 years | 21 years | - |
| DFAS | XSMO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | N/A |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 84% | 2 days ago 89% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 80% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 85% |
| Advances ODDS (%) | 2 days ago 82% | 4 days ago 86% |
| Declines ODDS (%) | 28 days ago 83% | 28 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 88% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 76% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| WEBS | 18.91 | 0.26 | +1.40% |
| Direxion Daily Dow Jones Int Br 3X ETF | |||
| MGF | 3.09 | 0.02 | +0.65% |
| MFS Government Markets Income Trust | |||
| SPYU | 57.41 | 0.15 | +0.26% |
| MAX S&P 500 4X Leveraged ETN | |||
| FLTR | 25.48 | -0.01 | -0.04% |
| VanEck IG Floating Rate ETF | |||
| VKI | 9.03 | -0.04 | -0.44% |
| Invesco Advantage Municipal Income Trust II | |||
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% | +0.26% | ||
| UFPI - DFAS | 82% Closely correlated | -0.04% | ||
| IBP - DFAS | 70% Closely correlated | +2.16% | ||
| AIT - DFAS | 65% Loosely correlated | +0.29% | ||
| CMC - DFAS | 62% Loosely correlated | +3.70% | ||
| ENSG - DFAS | 48% Loosely correlated | -0.01% | ||
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% | +0.41% | ||
| PIPR - XSMO | 84% Closely correlated | +0.73% | ||
| MC - XSMO | 83% Closely correlated | +2.06% | ||
| ABCB - XSMO | 82% Closely correlated | -1.33% | ||
| UFPI - XSMO | 81% Closely correlated | -0.04% | ||
| FULT - XSMO | 80% Closely correlated | -0.28% | ||
More | ||||