GGN | LIT | GGN / LIT | |
Gain YTD | 44.748 | 39.877 | 112% |
Net Assets | 799M | 1.27B | 63% |
Total Expense Ratio | 1.31 | 0.75 | 175% |
Turnover | 86.00 | 22.87 | 376% |
Yield | 0.92 | 0.47 | 196% |
Fund Existence | 21 years | 15 years | - |
GGN | LIT | |
---|---|---|
RSI ODDS (%) | 3 days ago74% | 3 days ago82% |
Stochastic ODDS (%) | 3 days ago71% | 3 days ago87% |
Momentum ODDS (%) | 3 days ago75% | 3 days ago86% |
MACD ODDS (%) | 3 days ago68% | 3 days ago85% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago85% |
TrendMonth ODDS (%) | 3 days ago88% | 3 days ago84% |
Advances ODDS (%) | 14 days ago88% | 4 days ago85% |
Declines ODDS (%) | 3 days ago67% | 10 days ago88% |
BollingerBands ODDS (%) | 3 days ago67% | 3 days ago85% |
Aroon ODDS (%) | 3 days ago86% | 3 days ago87% |
A.I.dvisor tells us that GGN and WPM have been poorly correlated (+9% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GGN and WPM's prices will move in lockstep.
A.I.dvisor indicates that over the last year, LIT has been closely correlated with SQM. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if LIT jumps, then SQM could also see price increases.
Ticker / NAME | Correlation To LIT | 1D Price Change % | ||
---|---|---|---|---|
LIT | 100% | -1.01% | ||
SQM - LIT | 72% Closely correlated | -1.71% | ||
ALB - LIT | 72% Closely correlated | -2.68% | ||
SGML - LIT | 61% Loosely correlated | -8.41% | ||
LAR - LIT | 59% Loosely correlated | -1.70% | ||
RIVN - LIT | 47% Loosely correlated | +0.93% | ||
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