| AQWA | LIT | AQWA / LIT | |
| Gain YTD | 0.408 | 26.997 | 2% |
| Net Assets | 23.1M | 1.91B | 1% |
| Total Expense Ratio | 0.50 | 0.75 | 67% |
| Turnover | 17.03 | 51.63 | 33% |
| Yield | 1.47 | 0.36 | 409% |
| Fund Existence | 5 years | 16 years | - |
| AQWA | LIT | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 87% | 4 days ago 88% |
| Stochastic ODDS (%) | 4 days ago 84% | 4 days ago 85% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 86% |
| MACD ODDS (%) | 4 days ago 80% | 4 days ago 80% |
| TrendWeek ODDS (%) | 4 days ago 84% | 4 days ago 85% |
| TrendMonth ODDS (%) | 4 days ago 78% | 4 days ago 88% |
| Advances ODDS (%) | 4 days ago 83% | 4 days ago 85% |
| Declines ODDS (%) | 8 days ago 78% | 8 days ago 88% |
| BollingerBands ODDS (%) | 4 days ago 87% | 4 days ago 86% |
| Aroon ODDS (%) | 4 days ago 72% | 4 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IYZ | 43.76 | 0.55 | +1.27% |
| iShares US Telecommunications ETF | |||
| AQWA | 18.85 | 0.12 | +0.64% |
| Global X Clean Water ETF | |||
| SYSB | 88.43 | -0.11 | -0.12% |
| iShares Systematic Bond ETF | |||
| BSMV | 21.00 | -0.03 | -0.15% |
| Invesco BulletShares 2031 Muncpl Bd ETF | |||
| BPRE | 14.75 | -0.04 | -0.27% |
| Bluerock Private Real Estate Fund | |||
A.I.dvisor indicates that over the last year, AQWA has been closely correlated with PNR. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if AQWA jumps, then PNR could also see price increases.
| Ticker / NAME | Correlation To AQWA | 1D Price Change % | ||
|---|---|---|---|---|
| AQWA | 100% | +0.64% | ||
| PNR - AQWA | 70% Closely correlated | +1.69% | ||
| FERG - AQWA | 69% Closely correlated | +0.90% | ||
| WTS - AQWA | 69% Closely correlated | +3.81% | ||
| AOS - AQWA | 69% Closely correlated | +0.72% | ||
| MWA - AQWA | 68% Closely correlated | +0.78% | ||
More | ||||
A.I.dvisor indicates that over the last year, LIT has been closely correlated with SQM. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if LIT jumps, then SQM could also see price increases.