BOTZ | IPAY | BOTZ / IPAY | |
Gain YTD | 6.930 | 0.845 | 820% |
Net Assets | 2.88B | 273M | 1,055% |
Total Expense Ratio | 0.68 | 0.75 | 91% |
Turnover | 10.43 | 47.00 | 22% |
Yield | 0.24 | 0.75 | 31% |
Fund Existence | 9 years | 10 years | - |
BOTZ | IPAY | |
---|---|---|
RSI ODDS (%) | 3 days ago87% | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago81% | 3 days ago88% |
Momentum ODDS (%) | 3 days ago88% | 3 days ago86% |
MACD ODDS (%) | 3 days ago80% | 3 days ago76% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago84% |
TrendMonth ODDS (%) | 3 days ago87% | 3 days ago84% |
Advances ODDS (%) | 5 days ago88% | 5 days ago83% |
Declines ODDS (%) | 11 days ago82% | 3 days ago86% |
BollingerBands ODDS (%) | 3 days ago90% | 3 days ago90% |
Aroon ODDS (%) | 3 days ago88% | 3 days ago88% |
1 Day | |||
---|---|---|---|
MFs / NAME | Price $ | Chg $ | Chg % |
NGREX | 10.11 | 0.03 | +0.30% |
Northern Global Real Estate Index | |||
STCAX | 17.33 | -0.04 | -0.23% |
Virtus Silvant Large-Cap Growth Stk I | |||
TRZVX | 53.88 | -0.22 | -0.41% |
T. Rowe Price Small-Cap Value Z | |||
PLLAX | 27.35 | -0.12 | -0.44% |
Principal SmallCap A | |||
GCSVX | 9.75 | -0.06 | -0.61% |
Geneva SMID Cap Growth Institutional |
A.I.dvisor indicates that over the last year, BOTZ has been closely correlated with NVDA. These tickers have moved in lockstep 76% 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% | +0.50% | ||
NVDA - BOTZ | 76% Closely correlated | -0.86% | ||
ISRG - BOTZ | 69% Closely correlated | +0.67% | ||
DT - BOTZ | 65% Loosely correlated | +1.73% | ||
PATH - BOTZ | 62% Loosely correlated | +2.14% | ||
PEGA - BOTZ | 60% Loosely correlated | +1.43% | ||
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A.I.dvisor indicates that over the last year, IPAY has been closely correlated with CPAY. These tickers have moved in lockstep 81% 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% | -0.22% | ||
CPAY - IPAY | 81% Closely correlated | -0.80% | ||
PYPL - IPAY | 73% Closely correlated | -0.22% | ||
MA - IPAY | 72% Closely correlated | -0.35% | ||
EEFT - IPAY | 72% Closely correlated | -0.64% | ||
AFRM - IPAY | 72% Closely correlated | +2.21% | ||
More |