CIBR | HACK | CIBR / HACK | |
Gain YTD | 21.037 | 17.358 | 121% |
Net Assets | 11.2B | 2.34B | 479% |
Total Expense Ratio | 0.59 | 0.60 | 98% |
Turnover | 39.00 | 71.00 | 55% |
Yield | 0.23 | 0.06 | 372% |
Fund Existence | 10 years | 11 years | - |
CIBR | HACK | |
---|---|---|
RSI ODDS (%) | 3 days ago88% | N/A |
Stochastic ODDS (%) | 3 days ago86% | 3 days ago85% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago88% |
MACD ODDS (%) | 3 days ago88% | 3 days ago86% |
TrendWeek ODDS (%) | 3 days ago88% | 3 days ago88% |
TrendMonth ODDS (%) | 3 days ago88% | 3 days ago90% |
Advances ODDS (%) | 4 days ago89% | 4 days ago88% |
Declines ODDS (%) | 11 days ago80% | 11 days ago84% |
BollingerBands ODDS (%) | 3 days ago86% | 3 days ago88% |
Aroon ODDS (%) | 3 days ago87% | 3 days ago87% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
LCTD | 54.33 | 0.46 | +0.85% |
BlackRock World ex US Cbn Tnstn Rdns ETF | |||
BSTP | 36.45 | 0.01 | +0.02% |
Innovator Buffer Step-Up Strategy ETF | |||
FSEP | 50.65 | -0.03 | -0.06% |
FT Vest US Equity Buffer ETF Sep | |||
IBMS | 26.02 | -0.05 | -0.21% |
iShares iBonds Dec 2030 Term Mun Bd ETF | |||
METU | 39.80 | -1.92 | -4.60% |
Direxion Daily META Bull 2X ETF |
A.I.dvisor indicates that over the last year, CIBR has been closely correlated with ZS. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if CIBR jumps, then ZS could also see price increases.
Ticker / NAME | Correlation To CIBR | 1D Price Change % | ||
---|---|---|---|---|
CIBR | 100% | -0.51% | ||
ZS - CIBR | 82% Closely correlated | -0.71% | ||
CRWD - CIBR | 82% Closely correlated | -1.39% | ||
PANW - CIBR | 80% Closely correlated | -1.01% | ||
NET - CIBR | 74% Closely correlated | -3.51% | ||
CYBR - CIBR | 69% Closely correlated | -0.93% | ||
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A.I.dvisor indicates that over the last year, HACK has been closely correlated with ZS. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if HACK jumps, then ZS could also see price increases.
Ticker / NAME | Correlation To HACK | 1D Price Change % | ||
---|---|---|---|---|
HACK | 100% | -0.60% | ||
ZS - HACK | 83% Closely correlated | -0.71% | ||
PANW - HACK | 80% Closely correlated | -1.01% | ||
CRWD - HACK | 80% Closely correlated | -1.39% | ||
NET - HACK | 75% Closely correlated | -3.51% | ||
FTNT - HACK | 69% Closely correlated | -0.58% | ||
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