COPX | LITP | COPX / LITP | |
Gain YTD | 22.819 | -4.641 | -492% |
Net Assets | 2.04B | 14.7M | 13,850% |
Total Expense Ratio | 0.65 | 0.65 | 100% |
Turnover | 14.60 | 49.00 | 30% |
Yield | 1.74 | 7.64 | 23% |
Fund Existence | 15 years | 2 years | - |
COPX | LITP | |
---|---|---|
RSI ODDS (%) | 5 days ago90% | 5 days ago88% |
Stochastic ODDS (%) | 5 days ago87% | 5 days ago90% |
Momentum ODDS (%) | 5 days ago90% | 5 days ago75% |
MACD ODDS (%) | 5 days ago90% | 5 days ago90% |
TrendWeek ODDS (%) | 5 days ago90% | 5 days ago85% |
TrendMonth ODDS (%) | 5 days ago88% | 5 days ago81% |
Advances ODDS (%) | 6 days ago89% | 5 days ago83% |
Declines ODDS (%) | 27 days ago87% | 18 days ago90% |
BollingerBands ODDS (%) | 5 days ago89% | 5 days ago90% |
Aroon ODDS (%) | 5 days ago87% | 5 days ago90% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
RSST | 23.74 | 0.17 | +0.72% |
Return Stacked® US Stocks & Mgd Futs ETF | |||
SYLD | 67.39 | 0.13 | +0.19% |
Cambria Shareholder Yield ETF | |||
KNOW | 11.06 | N/A | N/A |
Fundamentals First ETF | |||
FEUZ | 55.34 | -0.15 | -0.27% |
First Trust Eurozone AlphaDEX® ETF | |||
ETU | 15.26 | -0.21 | -1.36% |
T-REX 2X Long Ether Daily Target ETF |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with FCX. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if COPX jumps, then FCX could also see price increases.
Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
---|---|---|---|---|
COPX | 100% | N/A | ||
FCX - COPX | 87% Closely correlated | +0.07% | ||
SCCO - COPX | 86% Closely correlated | -0.22% | ||
HBM - COPX | 85% Closely correlated | -1.19% | ||
ERO - COPX | 83% Closely correlated | -2.81% | ||
BHP - COPX | 73% Closely correlated | -0.41% | ||
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A.I.dvisor indicates that over the last year, LITP has been closely correlated with ALB. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then ALB could also see price increases.
Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
---|---|---|---|---|
LITP | 100% | +4.26% | ||
ALB - LITP | 77% Closely correlated | -1.15% | ||
SQM - LITP | 77% Closely correlated | -0.77% | ||
PLL - LITP | 72% Closely correlated | -1.51% | ||
LAR - LITP | 72% Closely correlated | -0.85% | ||
LAC - LITP | 64% Loosely correlated | -1.85% | ||
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