| CLSE | FTLS | CLSE / FTLS | |
| Gain YTD | 0.842 | 0.007 | 11,937% |
| Net Assets | 286M | 2.18B | 13% |
| Total Expense Ratio | 1.44 | 1.38 | 104% |
| Turnover | 225.05 | 235.00 | 96% |
| Yield | 0.95 | 1.07 | 89% |
| Fund Existence | 16 years | 11 years | - |
| CLSE | FTLS | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 68% | 2 days ago 59% |
| Momentum ODDS (%) | 2 days ago 85% | 2 days ago 57% |
| MACD ODDS (%) | 2 days ago 66% | 2 days ago 61% |
| TrendWeek ODDS (%) | 2 days ago 69% | 2 days ago 66% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 66% |
| Advances ODDS (%) | 3 days ago 87% | 11 days ago 81% |
| Declines ODDS (%) | 16 days ago 63% | 2 days ago 64% |
| BollingerBands ODDS (%) | 2 days ago 72% | 2 days ago 65% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 86% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IFLO | 29.38 | 0.19 | +0.64% |
| VictoryShares Intl Free Csh Flow ETF | |||
| MARO | 8.49 | 0.05 | +0.59% |
| Yieldmax Mara Option Income Strategy ETF | |||
| FNDB | 27.55 | 0.07 | +0.25% |
| Schwab Fundamental U.S. Broad Market ETF | |||
| BKUI | 49.81 | N/A | +0.01% |
| BNY Mellon Ultra Short Income ETF | |||
| DBE | 18.00 | -0.30 | -1.61% |
| Invesco DB Energy | |||
A.I.dvisor indicates that over the last year, CLSE has been closely correlated with MTZ. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if CLSE jumps, then MTZ could also see price increases.
| Ticker / NAME | Correlation To CLSE | 1D Price Change % | ||
|---|---|---|---|---|
| CLSE | 100% | -0.90% | ||
| MTZ - CLSE | 74% Closely correlated | -0.03% | ||
| VRT - CLSE | 72% Closely correlated | -1.08% | ||
| EME - CLSE | 71% Closely correlated | -1.41% | ||
| FIX - CLSE | 70% Closely correlated | -1.87% | ||
| STRL - CLSE | 69% Closely correlated | -0.72% | ||
More | ||||
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% | -0.54% | ||
| SEIC - FTLS | 74% Closely correlated | +0.72% | ||
| AXP - FTLS | 74% Closely correlated | +0.07% | ||
| MS - FTLS | 72% Closely correlated | -1.08% | ||
| GS - FTLS | 72% Closely correlated | -0.58% | ||
| SF - FTLS | 70% Closely correlated | -0.40% | ||
More | ||||