GNR | LITP | GNR / LITP | |
Gain YTD | 3.175 | -12.126 | -26% |
Net Assets | 2.74B | 12.9M | 21,233% |
Total Expense Ratio | 0.40 | 0.65 | 62% |
Turnover | 15.00 | 59.00 | 25% |
Yield | 4.43 | 7.37 | 60% |
Fund Existence | 15 years | 2 years | - |
GNR | LITP | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago69% |
Stochastic ODDS (%) | 2 days ago88% | 2 days ago72% |
Momentum ODDS (%) | 2 days ago83% | 2 days ago90% |
MACD ODDS (%) | 2 days ago88% | 2 days ago83% |
TrendWeek ODDS (%) | 2 days ago82% | 2 days ago90% |
TrendMonth ODDS (%) | 2 days ago84% | 2 days ago90% |
Advances ODDS (%) | 3 days ago83% | 19 days ago83% |
Declines ODDS (%) | 5 days ago84% | 2 days ago90% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago79% |
Aroon ODDS (%) | N/A | 2 days ago90% |
A.I.dvisor indicates that over the last year, GNR has been closely correlated with FCX. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if GNR jumps, then FCX could also see price increases.
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. 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 SQM could also see price increases.
Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
---|---|---|---|---|
LITP | 100% | N/A | ||
SQM - LITP | 77% Closely correlated | -0.91% | ||
ALB - LITP | 77% Closely correlated | -7.96% | ||
PLL - LITP | 71% Closely correlated | -5.75% | ||
SGML - LITP | 59% Loosely correlated | -9.88% | ||
LAC - LITP | 58% Loosely correlated | -2.17% | ||
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