| CGDG | CZAR | CGDG / CZAR | |
| Gain YTD | 20.506 | 14.991 | 137% |
| Net Assets | 3.55B | 1.64M | 216,129% |
| Total Expense Ratio | 0.47 | 0.35 | 134% |
| Turnover | 25.00 | 113.00 | 22% |
| Yield | 1.96 | 0.83 | 237% |
| Fund Existence | 2 years | 2 years | - |
| CGDG | CZAR | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 66% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 61% | 4 days ago 59% |
| Momentum ODDS (%) | 4 days ago 86% | 4 days ago 88% |
| MACD ODDS (%) | 4 days ago 71% | 4 days ago 88% |
| TrendWeek ODDS (%) | 4 days ago 83% | 4 days ago 81% |
| TrendMonth ODDS (%) | 4 days ago 83% | 4 days ago 80% |
| Advances ODDS (%) | 4 days ago 84% | 4 days ago 81% |
| Declines ODDS (%) | 6 days ago 56% | 18 days ago 65% |
| BollingerBands ODDS (%) | 4 days ago 71% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 76% | 8 days ago 76% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RAVI | 75.59 | 0.02 | +0.03% |
| FlexShares Ultra-Short Income ETF | |||
| CALI | 50.61 | N/A | +0.01% |
| iShares Short-Term CA Muni Act ETF | |||
| KPRO | 30.87 | N/A | N/A |
| KraneShares 100% KWEB Dfnd OutcmJan27ETF | |||
| AGNG | 33.95 | -0.12 | -0.37% |
| Global X Aging Population ETF | |||
| IIF | 27.41 | -0.24 | -0.87% |
| Morgan Stanley India Investment Fund | |||
A.I.dvisor indicates that over the last year, CGDG has been closely correlated with BN. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if CGDG jumps, then BN could also see price increases.
| Ticker / NAME | Correlation To CGDG | 1D Price Change % | ||
|---|---|---|---|---|
| CGDG | 100% | +0.43% | ||
| BN - CGDG | 77% Closely correlated | +1.52% | ||
| MS - CGDG | 68% Closely correlated | +2.86% | ||
| REXR - CGDG | 65% Loosely correlated | -1.33% | ||
| KLAC - CGDG | 65% Loosely correlated | +2.06% | ||
| BR - CGDG | 61% Loosely correlated | +0.08% | ||
More | ||||
A.I.dvisor indicates that over the last year, CZAR has been loosely correlated with CPAY. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if CZAR jumps, then CPAY could also see price increases.
| Ticker / NAME | Correlation To CZAR | 1D Price Change % | ||
|---|---|---|---|---|
| CZAR | 100% | +0.50% | ||
| CPAY - CZAR | 63% Loosely correlated | -0.02% | ||
| LIN - CZAR | 63% Loosely correlated | -0.91% | ||
| BLK - CZAR | 62% Loosely correlated | +1.03% | ||
| FTV - CZAR | 62% Loosely correlated | -0.30% | ||
| V - CZAR | 61% Loosely correlated | +0.41% | ||
More | ||||