| BOTZ | IPAY | BOTZ / IPAY | |
| Gain YTD | 1.794 | -10.930 | -16% |
| Net Assets | 3.3B | 179M | 1,841% |
| Total Expense Ratio | 0.68 | 0.75 | 91% |
| Turnover | 10.43 | 29.00 | 36% |
| Yield | 0.63 | 0.84 | 75% |
| Fund Existence | 9 years | 11 years | - |
| BOTZ | IPAY | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 81% |
| Momentum ODDS (%) | 2 days ago 80% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 84% |
| Advances ODDS (%) | 9 days ago 88% | 14 days ago 80% |
| Declines ODDS (%) | 3 days ago 82% | 6 days ago 86% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 82% |
| Aroon ODDS (%) | 2 days ago 86% | 2 days ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DEEF | 38.40 | 0.59 | +1.57% |
| Xtrackers FTSE Develop ex US Mulfact ETF | |||
| GSST | 50.53 | -0.01 | -0.02% |
| Goldman Sachs Ultra Short Bond ETF | |||
| OCTU | 28.63 | -0.16 | -0.56% |
| AllianzIM U.S. Equity Buffer15 UncOctETF | |||
| FLCH | 24.20 | -0.22 | -0.90% |
| Franklin FTSE China ETF | |||
| TSEL | 26.29 | -0.77 | -2.84% |
| Touchstone Sands Capital US Sel Gr ETF | |||
A.I.dvisor indicates that over the last year, BOTZ has been closely correlated with NVDA. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if BOTZ jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To BOTZ | 1D Price Change % | ||
|---|---|---|---|---|
| BOTZ | 100% | +0.03% | ||
| NVDA - BOTZ | 74% Closely correlated | -2.84% | ||
| ISRG - BOTZ | 68% Closely correlated | -3.59% | ||
| ATS - BOTZ | 65% Loosely correlated | +1.21% | ||
| DT - BOTZ | 64% Loosely correlated | -9.15% | ||
| AI - BOTZ | 60% Loosely correlated | -1.56% | ||
More | ||||
A.I.dvisor indicates that over the last year, IPAY has been closely correlated with CPAY. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if IPAY jumps, then CPAY could also see price increases.
| Ticker / NAME | Correlation To IPAY | 1D Price Change % | ||
|---|---|---|---|---|
| IPAY | 100% | -5.39% | ||
| CPAY - IPAY | 82% Closely correlated | -4.15% | ||
| PYPL - IPAY | 73% Closely correlated | -20.31% | ||
| MA - IPAY | 73% Closely correlated | -0.84% | ||
| XYZ - IPAY | 71% Closely correlated | -5.98% | ||
| TOST - IPAY | 68% Closely correlated | -10.37% | ||
More | ||||