| AGQI | GCOW | AGQI / GCOW | |
| Gain YTD | 26.545 | 27.786 | 96% |
| Net Assets | 55.9M | 2.67B | 2% |
| Total Expense Ratio | 0.85 | 0.60 | 142% |
| Turnover | 50.00 | 49.00 | 102% |
| Yield | 2.09 | 2.47 | 84% |
| Fund Existence | 10 years | 10 years | - |
| AGQI | GCOW | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 73% |
| Stochastic ODDS (%) | 2 days ago 61% | 2 days ago 61% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 86% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 84% | 2 days ago 78% |
| Advances ODDS (%) | 2 days ago 88% | 2 days ago 79% |
| Declines ODDS (%) | 11 days ago 64% | 19 days ago 72% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| AHLT | 27.23 | 0.59 | +2.20% |
| American Beacon AHL Trend ETF | |||
| TDV | 88.38 | 0.01 | +0.01% |
| ProShares S&PTech Div Arstcrts ETF | |||
| MUNY | 103.20 | -0.07 | -0.07% |
| Vanguard New York Tx-Exm Bd ETF | |||
| LDRH | 24.91 | -0.04 | -0.17% |
| iShares iBonds 1-5 Year High Yield and Income Ladder ETF | |||
| FNX | 128.38 | -0.27 | -0.21% |
| First Trust Mid Cap Core AlphaDEX® ETF | |||
A.I.dvisor tells us that AGQI and TEL have been poorly correlated (+17% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AGQI and TEL's prices will move in lockstep.
| Ticker / NAME | Correlation To AGQI | 1D Price Change % | ||
|---|---|---|---|---|
| AGQI | 100% | +0.31% | ||
| TEL - AGQI | 17% Poorly correlated | +0.25% | ||
| T - AGQI | 8% Poorly correlated | -0.04% | ||
| TSM - AGQI | 7% Poorly correlated | +1.35% | ||
| SAND - AGQI | 6% Poorly correlated | N/A | ||
| JNJ - AGQI | 5% Poorly correlated | -0.07% | ||
More | ||||
A.I.dvisor indicates that over the last year, GCOW has been closely correlated with SHEL. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if GCOW jumps, then SHEL could also see price increases.
| Ticker / NAME | Correlation To GCOW | 1D Price Change % | ||
|---|---|---|---|---|
| GCOW | 100% | +0.12% | ||
| SHEL - GCOW | 71% Closely correlated | -0.04% | ||
| BHP - GCOW | 67% Closely correlated | +1.68% | ||
| TTE - GCOW | 66% Loosely correlated | -0.02% | ||
| KMI - GCOW | 65% Loosely correlated | N/A | ||
| BN - GCOW | 64% Loosely correlated | +0.28% | ||
More | ||||