| CPZ | FTLS | CPZ / FTLS | |
| Gain YTD | 10.765 | 10.249 | 105% |
| Net Assets | 326M | 2.13B | 15% |
| Total Expense Ratio | 1.85 | 1.38 | 134% |
| Turnover | 249.00 | 235.00 | 106% |
| Yield | 1.59 | 1.18 | 135% |
| Fund Existence | 6 years | 11 years | - |
| CPZ | FTLS | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 58% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 56% |
| Momentum ODDS (%) | 3 days ago 88% | 3 days ago 78% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 81% |
| TrendWeek ODDS (%) | 3 days ago 79% | 3 days ago 83% |
| TrendMonth ODDS (%) | 3 days ago 80% | 3 days ago 82% |
| Advances ODDS (%) | 10 days ago 90% | 4 days ago 81% |
| Declines ODDS (%) | 8 days ago 74% | 8 days ago 63% |
| BollingerBands ODDS (%) | 3 days ago 90% | 5 days ago 85% |
| Aroon ODDS (%) | 3 days ago 76% | 3 days ago 80% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| KORU | 170.47 | 3.45 | +2.07% |
| Direxion Daily South Korea Bull 3X ETF | |||
| AHLT | 25.96 | 0.31 | +1.20% |
| American Beacon AHL Trend ETF | |||
| QIDX | 10.76 | 0.05 | +0.51% |
| Indexperts Quality Earnings Focused ETF | |||
| LPRE | 26.12 | N/A | -0.01% |
| Long Pond Real Estate Select ETF | |||
| DFIP | 42.23 | -0.10 | -0.24% |
| Dimensional Inflation-Protected Sec ETF | |||
A.I.dvisor tells us that CPZ and CSX have been poorly correlated (+10% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CPZ and CSX's prices will move in lockstep.
| Ticker / NAME | Correlation To CPZ | 1D Price Change % | ||
|---|---|---|---|---|
| CPZ | 100% | +0.20% | ||
| CSX - CPZ | 10% Poorly correlated | +1.17% | ||
| DAL - CPZ | 10% Poorly correlated | +4.75% | ||
| LHX - CPZ | 6% Poorly correlated | -0.48% | ||
| MSFT - CPZ | 4% Poorly correlated | +0.48% | ||
| ORCL - CPZ | 3% Poorly correlated | -3.88% | ||
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A.I.dvisor indicates that over the last year, FTLS has been closely correlated with SEIC. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTLS jumps, then SEIC could also see price increases.
| Ticker / NAME | Correlation To FTLS | 1D Price Change % | ||
|---|---|---|---|---|
| FTLS | 100% | N/A | ||
| SEIC - FTLS | 74% Closely correlated | +0.18% | ||
| AXP - FTLS | 74% Closely correlated | +0.71% | ||
| MS - FTLS | 72% Closely correlated | +2.05% | ||
| GS - FTLS | 72% Closely correlated | +3.54% | ||
| SF - FTLS | 70% Closely correlated | +2.07% | ||
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