COPX | LITP | COPX / LITP | |
Gain YTD | 35.465 | 24.701 | 144% |
Net Assets | 2.15B | 21.2M | 10,160% |
Total Expense Ratio | 0.65 | 0.65 | 100% |
Turnover | 14.60 | 49.00 | 30% |
Yield | 1.58 | 5.41 | 29% |
Fund Existence | 15 years | 3 years | - |
COPX | LITP | |
---|---|---|
RSI ODDS (%) | 1 day ago90% | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago83% | 1 day ago90% |
Momentum ODDS (%) | 1 day ago87% | 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 ago84% |
Advances ODDS (%) | 1 day ago88% | 1 day ago84% |
Declines ODDS (%) | 22 days ago88% | 6 days ago90% |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago77% |
Aroon ODDS (%) | 1 day ago87% | 1 day ago90% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if COPX jumps, then BHP could also see price increases.
Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
---|---|---|---|---|
COPX | 100% | +0.71% | ||
BHP - COPX | 67% Closely correlated | -0.35% | ||
TKO - COPX | 33% Loosely correlated | +3.34% | ||
SLS - COPX | 11% Poorly correlated | -0.52% |
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% | +1.22% | ||
SQM - LITP | 76% Closely correlated | -0.83% | ||
ALB - LITP | 76% Closely correlated | +0.56% | ||
SGML - LITP | 67% Closely correlated | -2.95% | ||
LAC - LITP | 64% Loosely correlated | +2.77% | ||
LAR - LITP | 49% Loosely correlated | -6.52% | ||
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