| DEEP | IJS | DEEP / IJS | |
| Gain YTD | 7.637 | 7.738 | 99% |
| Net Assets | 27M | 7.72B | 0% |
| Total Expense Ratio | 0.80 | 0.18 | 444% |
| Turnover | 140.00 | 52.00 | 269% |
| Yield | 1.68 | 1.52 | 110% |
| Fund Existence | 11 years | 26 years | - |
| DEEP | IJS | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 80% | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 87% |
| Momentum ODDS (%) | 2 days ago 81% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 88% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 80% | 2 days ago 82% |
| Advances ODDS (%) | 3 days ago 82% | 2 days ago 85% |
| Declines ODDS (%) | 8 days ago 82% | 8 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| Aroon ODDS (%) | 2 days ago 77% | 2 days ago 77% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| PXE | 30.47 | 0.96 | +3.24% |
| Invesco Energy Exploration & Prod ETF | |||
| JMSI | 50.71 | 0.09 | +0.18% |
| JPMorgan Sustainable Municipal Inc ETF | |||
| FTCB | 21.18 | 0.03 | +0.14% |
| First Trust Core Investment Grade ETF | |||
| DAGXF | 1.90 | N/A | N/A |
| Deutsche Bank AG (London Branch) | |||
| DUKZ | 25.51 | -0.01 | -0.04% |
| Ocean Park Diversified Income ETF | |||
A.I.dvisor indicates that over the last year, DEEP has been loosely correlated with CCSI. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if DEEP jumps, then CCSI could also see price increases.
| Ticker / NAME | Correlation To DEEP | 1D Price Change % | ||
|---|---|---|---|---|
| DEEP | 100% | N/A | ||
| CCSI - DEEP | 56% Loosely correlated | -1.17% | ||
| THRY - DEEP | 54% Loosely correlated | -5.74% | ||
| ADEA - DEEP | 53% Loosely correlated | -6.01% | ||
| JBI - DEEP | 50% Loosely correlated | -3.43% | ||
| OLPX - DEEP | 49% Loosely correlated | -3.16% | ||
More | ||||
A.I.dvisor indicates that over the last year, IJS has been closely correlated with SBCF. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if IJS jumps, then SBCF could also see price increases.
| Ticker / NAME | Correlation To IJS | 1D Price Change % | ||
|---|---|---|---|---|
| IJS | 100% | +0.17% | ||
| SBCF - IJS | 84% Closely correlated | +2.31% | ||
| UCB - IJS | 84% Closely correlated | +1.09% | ||
| SFBS - IJS | 84% Closely correlated | +0.02% | ||
| ABCB - IJS | 84% Closely correlated | +3.84% | ||
| SFNC - IJS | 83% Closely correlated | +1.90% | ||
More | ||||