| GABF | STEW | GABF / STEW | |
| Gain YTD | 0.952 | 17.621 | 5% |
| Net Assets | 34.7M | 2.2B | 2% |
| Total Expense Ratio | 0.32 | 2.28 | 14% |
| Turnover | 13.00 | 7.00 | 186% |
| Yield | 4.11 | 0.23 | 1,808% |
| Fund Existence | 4 years | 53 years | - |
| GABF | STEW | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 79% | 2 days ago 87% |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 71% |
| Momentum ODDS (%) | 2 days ago 73% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 71% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 67% | 2 days ago 82% |
| Advances ODDS (%) | 3 days ago 84% | 2 days ago 86% |
| Declines ODDS (%) | 11 days ago 74% | 18 days ago 74% |
| BollingerBands ODDS (%) | 2 days ago 90% | 5 days ago 83% |
| Aroon ODDS (%) | 2 days ago 68% | 2 days ago 71% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TGONF | 19.25 | N/A | N/A |
| Tetragon Financial Group | |||
| IBIF | 26.30 | -0.01 | -0.04% |
| iShares iBonds Oct 2029 Term Tips ETF | |||
| AOD | 9.43 | -0.10 | -1.05% |
| abrdn Total Dynamic Dividend Fund | |||
| CLSE | 26.62 | -0.52 | -1.92% |
| Convergence Long/Short Equity ETF | |||
| FEAC | 28.40 | -0.57 | -1.96% |
| Fidelity Enhanced U.S. All-Cap Equity ETF | |||
A.I.dvisor indicates that over the last year, GABF has been closely correlated with SF. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if GABF jumps, then SF could also see price increases.
| Ticker / NAME | Correlation To GABF | 1D Price Change % | ||
|---|---|---|---|---|
| GABF | 100% | -2.28% | ||
| SF - GABF | 86% Closely correlated | -2.38% | ||
| KKR - GABF | 85% Closely correlated | -1.89% | ||
| AXP - GABF | 85% Closely correlated | -2.16% | ||
| APO - GABF | 85% Closely correlated | -3.65% | ||
| MS - GABF | 85% Closely correlated | -2.54% | ||
More | ||||
A.I.dvisor indicates that over the last year, STEW has been closely correlated with JPM. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if STEW jumps, then JPM could also see price increases.
| Ticker / NAME | Correlation To STEW | 1D Price Change % | ||
|---|---|---|---|---|
| STEW | 100% | +0.33% | ||
| JPM - STEW | 72% Closely correlated | -3.41% | ||
| CSCO - STEW | 60% Loosely correlated | +4.62% | ||
| WFC - STEW | 58% Loosely correlated | -1.81% | ||
| SWK - STEW | 56% Loosely correlated | -1.23% | ||
| EPD - STEW | 55% Loosely correlated | +0.60% | ||
More | ||||