| FYC | XSMO | FYC / XSMO | |
| Gain YTD | 24.224 | 25.171 | 96% |
| Net Assets | 1.18B | 2.98B | 40% |
| Total Expense Ratio | 0.70 | 0.36 | 194% |
| Turnover | 137.00 | 115.00 | 119% |
| Yield | 0.07 | 0.53 | 13% |
| Fund Existence | 15 years | 21 years | - |
| FYC | XSMO | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 76% | 8 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 87% | 4 days ago 87% |
| Momentum ODDS (%) | 4 days ago 87% | 4 days ago 88% |
| MACD ODDS (%) | 4 days ago 83% | 4 days ago 88% |
| TrendWeek ODDS (%) | 4 days ago 86% | 4 days ago 88% |
| TrendMonth ODDS (%) | 4 days ago 85% | 4 days ago 86% |
| Advances ODDS (%) | 4 days ago 86% | 4 days ago 86% |
| Declines ODDS (%) | 15 days ago 81% | 6 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 74% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 82% | 4 days ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MPG | 6.50 | 0.14 | +2.24% |
| Leverage Shares 2X Long MP Daily ETF | |||
| FEMS | 47.19 | 0.94 | +2.03% |
| First Trust Emerg Mkts SC AlphaDEX® ETF | |||
| CRDT | 23.60 | 0.16 | +0.69% |
| Simplify Opportunistic Income ETF | |||
| IGOV | 41.58 | 0.08 | +0.20% |
| iShares International Treasury Bond ETF | |||
| PIPE | 29.68 | -0.45 | -1.49% |
| Invesco SteelPath MLP & Energy Infrastructure ETF | |||
A.I.dvisor indicates that over the last year, FYC has been closely correlated with CSW. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if FYC jumps, then CSW could also see price increases.
| Ticker / NAME | Correlation To FYC | 1D Price Change % | ||
|---|---|---|---|---|
| FYC | 100% | +0.89% | ||
| CSW - FYC | 74% Closely correlated | +0.22% | ||
| CTS - FYC | 62% Loosely correlated | +0.76% | ||
| IESC - FYC | 61% Loosely correlated | -3.12% | ||
| CLSK - FYC | 61% Loosely correlated | +4.00% | ||
| MTRN - FYC | 60% Loosely correlated | +1.97% | ||
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% | +0.30% | ||
| UFPI - XSMO | 81% Closely correlated | +0.15% | ||
| BHE - XSMO | 74% Closely correlated | +1.53% | ||
| CSW - XSMO | 74% Closely correlated | +0.22% | ||
| NPO - XSMO | 72% Closely correlated | +5.11% | ||
| WTS - XSMO | 71% Closely correlated | +0.05% | ||
More | ||||