IJT | XSMO | IJT / XSMO | |
Gain YTD | -6.381 | -3.340 | 191% |
Net Assets | 5.83B | 1.41B | 413% |
Total Expense Ratio | 0.18 | 0.39 | 46% |
Turnover | 55.00 | 107.00 | 51% |
Yield | 1.18 | 0.88 | 135% |
Fund Existence | 25 years | 20 years | - |
IJT | XSMO | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago82% | 2 days ago82% |
Momentum ODDS (%) | 2 days ago85% | 2 days ago87% |
MACD ODDS (%) | 2 days ago82% | 2 days ago89% |
TrendWeek ODDS (%) | 2 days ago84% | 2 days ago88% |
TrendMonth ODDS (%) | 2 days ago84% | 2 days ago83% |
Advances ODDS (%) | 2 days ago85% | 18 days ago87% |
Declines ODDS (%) | 7 days ago85% | 7 days ago83% |
BollingerBands ODDS (%) | N/A | 2 days ago82% |
Aroon ODDS (%) | 2 days ago88% | 2 days ago79% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
GNOM | 7.98 | 0.21 | +2.70% |
Global X Genomics & Biotechnology ETF | |||
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FlexShares Glbl Quality Real Estate ETF | |||
XJUN | 38.71 | 0.19 | +0.49% |
FT Vest US Eq Enh&Mod Bffr ETF June | |||
HYDB | 46.91 | 0.05 | +0.11% |
iShares High Yield Systematic Bond ETF | |||
CARU | 22.41 | -0.03 | -0.15% |
Max Auto Industry 3X Leveraged ETN |
A.I.dvisor indicates that over the last year, IJT has been closely correlated with CVCO. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if IJT jumps, then CVCO could also see price increases.
Ticker / NAME | Correlation To IJT | 1D Price Change % | ||
---|---|---|---|---|
IJT | 100% | +1.49% | ||
CVCO - IJT | 81% Closely correlated | +2.21% | ||
NPO - IJT | 79% Closely correlated | +3.16% | ||
POWI - IJT | 79% Closely correlated | +0.16% | ||
AEIS - IJT | 79% Closely correlated | +1.43% | ||
PIPR - IJT | 78% Closely correlated | +2.94% | ||
More |
A.I.dvisor indicates that over the last year, XSMO has been closely correlated with UFPI. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSMO jumps, then UFPI could also see price increases.
Ticker / NAME | Correlation To XSMO | 1D Price Change % | ||
---|---|---|---|---|
XSMO | 100% | +1.63% | ||
UFPI - XSMO | 81% Closely correlated | +2.34% | ||
PIPR - XSMO | 81% Closely correlated | +2.94% | ||
TPH - XSMO | 80% Closely correlated | +0.78% | ||
MHO - XSMO | 78% Closely correlated | +1.21% | ||
BCC - XSMO | 77% Closely correlated | +3.19% | ||
More |