COPX | LITP | COPX / LITP | |
Gain YTD | 24.216 | 20.756 | 117% |
Net Assets | 1.98B | 20.7M | 9,570% |
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 (%) | N/A | 4 days ago78% |
Stochastic ODDS (%) | 4 days ago88% | 4 days ago90% |
Momentum ODDS (%) | 4 days ago89% | 4 days ago76% |
MACD ODDS (%) | 4 days ago89% | 4 days ago86% |
TrendWeek ODDS (%) | 4 days ago90% | 4 days ago86% |
TrendMonth ODDS (%) | 4 days ago88% | 4 days ago83% |
Advances ODDS (%) | 6 days ago88% | 8 days ago84% |
Declines ODDS (%) | 20 days ago88% | 5 days ago90% |
BollingerBands ODDS (%) | 4 days ago90% | 4 days ago90% |
Aroon ODDS (%) | 4 days ago86% | 4 days ago81% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 68% 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% | +1.40% | ||
BHP - COPX | 68% Closely correlated | +0.61% | ||
TKO - COPX | 33% Poorly correlated | -1.13% | ||
SLS - COPX | 12% Poorly correlated | +5.16% |
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% | +2.63% | ||
SQM - LITP | 76% Closely correlated | -1.01% | ||
ALB - LITP | 75% Closely correlated | +0.93% | ||
SGML - LITP | 67% Closely correlated | +13.27% | ||
LAC - LITP | 64% Loosely correlated | +1.40% | ||
SLI - LITP | 47% Loosely correlated | +2.44% | ||
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