| FNCL | VFH | FNCL / VFH | |
| Gain YTD | 10.503 | 9.521 | 110% |
| Net Assets | 2.37B | 14B | 17% |
| Total Expense Ratio | 0.08 | 0.09 | 93% |
| Turnover | 4.00 | 5.00 | 80% |
| Yield | 1.49 | 1.58 | 94% |
| Fund Existence | 12 years | 22 years | - |
| FNCL | VFH | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 7 days ago 68% | 7 days ago 71% |
| Momentum ODDS (%) | 7 days ago 89% | 7 days ago 90% |
| MACD ODDS (%) | 7 days ago 89% | 7 days ago 87% |
| TrendWeek ODDS (%) | 7 days ago 86% | 7 days ago 86% |
| TrendMonth ODDS (%) | 7 days ago 82% | 7 days ago 83% |
| Advances ODDS (%) | 7 days ago 85% | 7 days ago 84% |
| Declines ODDS (%) | 17 days ago 80% | 17 days ago 79% |
| BollingerBands ODDS (%) | 7 days ago 90% | 7 days ago 90% |
| Aroon ODDS (%) | N/A | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FDEC | 50.46 | 0.19 | +0.38% |
| FT Vest US Equity Buffer ETF Dec | |||
| AHLT | 25.80 | 0.06 | +0.23% |
| American Beacon AHL Trend ETF | |||
| PMMR | 26.15 | N/A | N/A |
| PGIM S&P 500 Max Buffer ETF - March | |||
| BGDV | 27.28 | -0.04 | -0.14% |
| Bahl & Gaynor Dividend ETF | |||
| HYGW | 29.91 | -0.20 | -0.65% |
| iShares High Yld Crp Bd Buywrt Stgy ETF | |||
A.I.dvisor indicates that over the last year, FNCL has been closely correlated with HBAN. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if FNCL jumps, then HBAN could also see price increases.
| Ticker / NAME | Correlation To FNCL | 1D Price Change % | ||
|---|---|---|---|---|
| FNCL | 100% | -0.09% | ||
| HBAN - FNCL | 89% Closely correlated | +0.18% | ||
| GS - FNCL | 89% Closely correlated | +0.57% | ||
| AMP - FNCL | 88% Closely correlated | +0.41% | ||
| AXP - FNCL | 88% Closely correlated | +0.10% | ||
| MS - FNCL | 88% Closely correlated | +0.35% | ||
More | ||||
A.I.dvisor indicates that over the last year, VFH has been closely correlated with GS. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if VFH jumps, then GS could also see price increases.