GGN | LIT | GGN / LIT | |
Gain YTD | 19.305 | -5.158 | -374% |
Net Assets | 689M | 834M | 83% |
Total Expense Ratio | 1.31 | 0.75 | 175% |
Turnover | 86.00 | 22.87 | 376% |
Yield | 1.41 | 1.04 | 136% |
Fund Existence | 20 years | 15 years | - |
GGN | LIT | |
---|---|---|
RSI ODDS (%) | 1 day ago85% | 1 day ago80% |
Stochastic ODDS (%) | 1 day ago90% | 1 day ago86% |
Momentum ODDS (%) | 1 day ago76% | 1 day ago84% |
MACD ODDS (%) | 1 day ago62% | 1 day ago88% |
TrendWeek ODDS (%) | 1 day ago74% | 1 day ago85% |
TrendMonth ODDS (%) | 1 day ago87% | 1 day ago84% |
Advances ODDS (%) | 16 days ago87% | 5 days ago85% |
Declines ODDS (%) | 23 days ago69% | 16 days ago89% |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago76% |
Aroon ODDS (%) | 1 day ago84% | 3 days ago86% |
A.I.dvisor tells us that GGN and FCX have been poorly correlated (+10% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GGN and FCX'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 81% 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.