| CIBR | HACK | CIBR / HACK | |
| Gain YTD | 15.624 | 11.720 | 133% |
| Net Assets | 10.9B | 2.18B | 501% |
| Total Expense Ratio | 0.59 | 0.60 | 98% |
| Turnover | 39.00 | 71.00 | 55% |
| Yield | 0.24 | 0.06 | 370% |
| Fund Existence | 10 years | 11 years | - |
| CIBR | HACK | |
|---|---|---|
| RSI ODDS (%) | 6 days ago 90% | 6 days ago 89% |
| Stochastic ODDS (%) | 6 days ago 90% | 6 days ago 90% |
| Momentum ODDS (%) | 6 days ago 82% | 6 days ago 83% |
| MACD ODDS (%) | 6 days ago 74% | 6 days ago 77% |
| TrendWeek ODDS (%) | 6 days ago 88% | 6 days ago 88% |
| TrendMonth ODDS (%) | 6 days ago 78% | 6 days ago 81% |
| Advances ODDS (%) | 9 days ago 89% | 9 days ago 88% |
| Declines ODDS (%) | 16 days ago 81% | 16 days ago 84% |
| BollingerBands ODDS (%) | 6 days ago 89% | 6 days ago 88% |
| Aroon ODDS (%) | 6 days ago 84% | 6 days ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| NZF | 12.70 | 0.04 | +0.36% |
| Nuveen Municipal Credit Income Fund | |||
| ISEP | 32.01 | 0.06 | +0.19% |
| Innovator Intl Dev Pwr Bffr ETF - Sept | |||
| GMNY | 49.84 | 0.01 | +0.01% |
| Goldman Sachs Dynamic New Yor Mun IncETF | |||
| EDZ | 38.05 | N/A | N/A |
| Direxion Daily MSCI Em Mkts Bear 3X ETF | |||
| PTMC | 36.02 | -0.11 | -0.30% |
| Pacer Trendpilot™ US Mid Cap ETF | |||
A.I.dvisor indicates that over the last year, CIBR has been closely correlated with CRWD. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if CIBR jumps, then CRWD could also see price increases.
| Ticker / NAME | Correlation To CIBR | 1D Price Change % | ||
|---|---|---|---|---|
| CIBR | 100% | +0.66% | ||
| CRWD - CIBR | 83% Closely correlated | +2.60% | ||
| PANW - CIBR | 80% Closely correlated | +1.12% | ||
| ZS - CIBR | 79% Closely correlated | -0.67% | ||
| CYBR - CIBR | 73% Closely correlated | +1.05% | ||
| NET - CIBR | 72% Closely correlated | +2.08% | ||
More | ||||
A.I.dvisor indicates that over the last year, HACK has been closely correlated with PANW. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if HACK jumps, then PANW could also see price increases.
| Ticker / NAME | Correlation To HACK | 1D Price Change % | ||
|---|---|---|---|---|
| HACK | 100% | +0.81% | ||
| PANW - HACK | 80% Closely correlated | +1.12% | ||
| CRWD - HACK | 80% Closely correlated | +2.60% | ||
| ZS - HACK | 80% Closely correlated | -0.67% | ||
| NET - HACK | 72% Closely correlated | +2.08% | ||
| CYBR - HACK | 70% Closely correlated | +1.05% | ||
More | ||||