COPX | LITP | COPX / LITP | |
Gain YTD | 19.829 | 25.984 | 76% |
Net Assets | 1.88B | 19M | 9,895% |
Total Expense Ratio | 0.65 | 0.65 | 100% |
Turnover | 14.60 | 49.00 | 30% |
Yield | 1.82 | 6.71 | 27% |
Fund Existence | 15 years | 3 years | - |
COPX | LITP | |
---|---|---|
RSI ODDS (%) | 7 days ago83% | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago83% | 1 day ago85% |
Momentum ODDS (%) | 1 day ago85% | 1 day ago89% |
MACD ODDS (%) | 1 day ago90% | 1 day ago90% |
TrendWeek ODDS (%) | 1 day ago90% | 1 day ago86% |
TrendMonth ODDS (%) | 1 day ago88% | 1 day ago82% |
Advances ODDS (%) | 5 days ago88% | 1 day ago84% |
Declines ODDS (%) | 14 days ago87% | 13 days ago90% |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago89% | 1 day ago84% |
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
---|---|---|---|---|
LITP | 100% | +14.11% | ||
SQM - LITP | 76% Closely correlated | +8.72% | ||
ALB - LITP | 74% Closely correlated | +7.00% | ||
SGML - LITP | 71% Closely correlated | +22.79% | ||
LAR - LITP | 70% Closely correlated | +36.43% | ||
LAC - LITP | 63% Loosely correlated | +9.32% | ||
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