| FFLS | FTLS | FFLS / FTLS | |
| Gain YTD | 2.343 | 0.549 | 426% |
| Net Assets | 39.9M | 2.18B | 2% |
| Total Expense Ratio | 1.24 | 1.38 | 90% |
| Turnover | 313.00 | 235.00 | 133% |
| Yield | 0.12 | 1.07 | 12% |
| Fund Existence | 3 years | 11 years | - |
| FFLS | FTLS | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | N/A |
| Stochastic ODDS (%) | 2 days ago 50% | 2 days ago 56% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 61% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 54% |
| TrendWeek ODDS (%) | 2 days ago 80% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 59% | 2 days ago 81% |
| Advances ODDS (%) | 7 days ago 79% | 10 days ago 81% |
| Declines ODDS (%) | 2 days ago 54% | 2 days ago 64% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 70% |
| Aroon ODDS (%) | 2 days ago 62% | 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, FFLS has been loosely correlated with NVDA. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if FFLS jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To FFLS | 1D Price Change % | ||
|---|---|---|---|---|
| FFLS | 100% | -0.73% | ||
| NVDA - FFLS | 61% Loosely correlated | +0.47% | ||
| META - FFLS | 61% Loosely correlated | -1.69% | ||
| GTLB - FFLS | 57% Loosely correlated | +0.53% | ||
| CRM - FFLS | 55% Loosely correlated | -7.07% | ||
| MU - FFLS | 54% Loosely correlated | -2.24% | ||
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 | ||||