| SLYG | XSMO | SLYG / XSMO | |
| Gain YTD | 20.041 | 24.795 | 81% |
| Net Assets | 4.9B | 2.98B | 165% |
| Total Expense Ratio | 0.15 | 0.36 | 42% |
| Turnover | 50.00 | 115.00 | 43% |
| Yield | 0.71 | 0.53 | 134% |
| Fund Existence | 26 years | 21 years | - |
| SLYG | XSMO | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 85% | 7 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 82% | 3 days ago 87% |
| Momentum ODDS (%) | 3 days ago 86% | 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 83% | 3 days ago 86% |
| Advances ODDS (%) | 3 days ago 85% | 3 days ago 86% |
| Declines ODDS (%) | 14 days ago 84% | 5 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 88% | 3 days ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FEMS | 46.25 | 0.07 | +0.16% |
| First Trust Emerg Mkts SC AlphaDEX® ETF | |||
| GJP | 24.23 | N/A | N/A |
| Synthetic Fixed Income Securities on the behalf of STRATS for Dominion Resources Series 2005-6 | |||
| TEKY | 44.43 | N/A | N/A |
| Lazard Next Gen Technologies ETF | |||
| IGOV | 41.50 | N/A | -0.01% |
| iShares International Treasury Bond ETF | |||
| CRDT | 23.44 | -0.12 | -0.51% |
| Simplify Opportunistic Income ETF | |||
A.I.dvisor indicates that over the last year, SLYG has been closely correlated with KN. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLYG jumps, then KN could also see price increases.
| Ticker / NAME | Correlation To SLYG | 1D Price Change % | ||
|---|---|---|---|---|
| SLYG | 100% | +0.82% | ||
| KN - SLYG | 81% Closely correlated | +0.84% | ||
| POWI - SLYG | 80% Closely correlated | +0.80% | ||
| ONTO - SLYG | 78% Closely correlated | +6.70% | ||
| UCTT - SLYG | 78% Closely correlated | +3.88% | ||
| APPS - SLYG | 77% Closely correlated | -3.75% | ||
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 | ||||