| GUNR | WOOD | GUNR / WOOD | |
| Gain YTD | 29.304 | -5.232 | -560% |
| Net Assets | 5.63B | 232M | 2,428% |
| Total Expense Ratio | 0.46 | 0.40 | 115% |
| Turnover | 21.00 | 80.00 | 26% |
| Yield | 2.87 | 1.54 | 186% |
| Fund Existence | 14 years | 17 years | - |
| GUNR | WOOD | |
|---|---|---|
| RSI ODDS (%) | N/A | 3 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 73% | 3 days ago 90% |
| Momentum ODDS (%) | 2 days ago 88% | 3 days ago 86% |
| MACD ODDS (%) | 2 days ago 90% | 3 days ago 80% |
| TrendWeek ODDS (%) | 2 days ago 84% | 3 days ago 82% |
| TrendMonth ODDS (%) | 2 days ago 82% | 3 days ago 78% |
| Advances ODDS (%) | 2 days ago 82% | 8 days ago 82% |
| Declines ODDS (%) | 5 days ago 78% | 4 days ago 85% |
| BollingerBands ODDS (%) | 2 days ago 76% | 3 days ago 85% |
| Aroon ODDS (%) | 2 days ago 85% | 3 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| XHB | 109.02 | 1.12 | +1.04% |
| State Street® SPDR® S&P® Hmebldr ETF | |||
| AREA | 18.53 | 0.18 | +1.00% |
| Harbor AlphaEdge Next Generatn REITs ETF | |||
| CAF | 17.39 | 0.07 | +0.41% |
| Morgan Stanley China A Share Fund | |||
| FLAU | 31.97 | 0.04 | +0.12% |
| Franklin FTSE Australia ETF | |||
| DVDN | 19.88 | -0.01 | -0.07% |
| Kingsbarn Dividend Opportunity ETF | |||
A.I.dvisor indicates that over the last year, GUNR has been closely correlated with SHEL. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if GUNR jumps, then SHEL could also see price increases.
| Ticker / NAME | Correlation To GUNR | 1D Price Change % | ||
|---|---|---|---|---|
| GUNR | 100% | +1.17% | ||
| SHEL - GUNR | 79% Closely correlated | -0.03% | ||
| BHP - GUNR | 77% Closely correlated | +0.64% | ||
| CNQ - GUNR | 74% Closely correlated | -1.72% | ||
| SU - GUNR | 73% Closely correlated | +0.32% | ||
| RIO - GUNR | 72% Closely correlated | +0.66% | ||
More | ||||
A.I.dvisor indicates that over the last year, WOOD has been closely correlated with SW. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if WOOD jumps, then SW could also see price increases.
| Ticker / NAME | Correlation To WOOD | 1D Price Change % | ||
|---|---|---|---|---|
| WOOD | 100% | +0.43% | ||
| SW - WOOD | 74% Closely correlated | +2.26% | ||
| WY - WOOD | 73% Closely correlated | +0.74% | ||
| PCH - WOOD | 69% Closely correlated | -0.54% | ||
| IP - WOOD | 62% Loosely correlated | -0.18% | ||
| SLVM - WOOD | 61% Loosely correlated | -0.82% | ||
More | ||||