| EHLS | FTLS | EHLS / FTLS | |
| Gain YTD | 4.591 | 0.549 | 836% |
| Net Assets | 59M | 2.18B | 3% |
| Total Expense Ratio | 2.62 | 1.38 | 190% |
| Turnover | 423.00 | 235.00 | 180% |
| Yield | 0.00 | 1.07 | - |
| Fund Existence | 2 years | 11 years | - |
| EHLS | FTLS | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 89% | N/A |
| Stochastic ODDS (%) | 2 days ago 71% | 2 days ago 56% |
| Momentum ODDS (%) | 2 days ago 84% | 2 days ago 61% |
| MACD ODDS (%) | 2 days ago 73% | 2 days ago 54% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 81% |
| Advances ODDS (%) | 2 days ago 85% | 10 days ago 81% |
| Declines ODDS (%) | 29 days ago 69% | 2 days ago 64% |
| BollingerBands ODDS (%) | 2 days ago 64% | 2 days ago 70% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| NYF | 53.84 | 0.04 | +0.07% |
| iShares New York Muni Bond ETF | |||
| FUMB | 20.12 | 0.01 | +0.03% |
| First Trust Ultra Short Dur Muncpl ETF | |||
| DMAX | 26.70 | N/A | -0.02% |
| iShares Large Cap Max Buffer Dec ETF | |||
| MNBD | 26.15 | -0.06 | -0.21% |
| ALPS Intermediate Municipal Bond ETF | |||
| PMAP | 26.12 | -0.31 | -1.17% |
| PGIM S&P 500 Max Buffer ETF - April | |||
A.I.dvisor indicates that over the last year, EHLS has been loosely correlated with MRX. These tickers have moved in lockstep 44% of the time. This A.I.-generated data suggests there is some statistical probability that if EHLS jumps, then MRX could also see price increases.
| Ticker / NAME | Correlation To EHLS | 1D Price Change % | ||
|---|---|---|---|---|
| EHLS | 100% | +0.46% | ||
| MRX - EHLS | 44% Loosely correlated | +0.44% | ||
| RCAT - EHLS | 19% Poorly correlated | +9.38% | ||
| YPF - EHLS | 16% Poorly correlated | +2.99% | ||
| CEVA - EHLS | 15% Poorly correlated | +0.26% | ||
| BBAR - EHLS | 15% Poorly correlated | -2.43% | ||
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% | -0.14% | ||
| SEIC - FTLS | 74% Closely correlated | -1.49% | ||
| AXP - FTLS | 74% Closely correlated | -0.44% | ||
| MS - FTLS | 72% Closely correlated | -2.04% | ||
| GS - FTLS | 72% Closely correlated | -1.20% | ||
| SF - FTLS | 70% Closely correlated | -1.79% | ||
More | ||||