COPX | DMAT | COPX / DMAT | |
Gain YTD | 32.093 | 47.040 | 68% |
Net Assets | 2.1B | 5.53M | 37,930% |
Total Expense Ratio | 0.65 | 0.59 | 110% |
Turnover | 14.60 | 22.42 | 65% |
Yield | 1.58 | 1.09 | 144% |
Fund Existence | 15 years | 4 years | - |
COPX | DMAT | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago75% |
Stochastic ODDS (%) | 2 days ago87% | 2 days ago87% |
Momentum ODDS (%) | 2 days ago90% | 2 days ago90% |
MACD ODDS (%) | 2 days ago90% | 2 days ago78% |
TrendWeek ODDS (%) | 2 days ago90% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago88% | 2 days ago81% |
Advances ODDS (%) | 3 days ago88% | 8 days ago82% |
Declines ODDS (%) | 18 days ago88% | 17 days ago84% |
BollingerBands ODDS (%) | 2 days ago83% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago81% |
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% | -1.74% | ||
BHP - COPX | 67% Closely correlated | -0.61% | ||
TKO - COPX | 33% Poorly correlated | +1.86% | ||
SLS - COPX | 10% Poorly correlated | N/A |
A.I.dvisor tells us that DMAT and ALB have been poorly correlated (+17% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that DMAT and ALB's prices will move in lockstep.
Ticker / NAME | Correlation To DMAT | 1D Price Change % | ||
---|---|---|---|---|
DMAT | 100% | -2.44% | ||
ALB - DMAT | 17% Poorly correlated | -1.05% | ||
AMS - DMAT | 12% Poorly correlated | +1.59% | ||
AMG - DMAT | 9% Poorly correlated | +1.04% | ||
NIC - DMAT | 6% Poorly correlated | +1.21% | ||
LAC - DMAT | 6% Poorly correlated | -2.45% | ||
More |