IGF | NFRA | IGF / NFRA | |
Gain YTD | 13.679 | 13.278 | 103% |
Net Assets | 7.2B | 2.66B | 270% |
Total Expense Ratio | 0.42 | 0.47 | 89% |
Turnover | 13.00 | 12.00 | 108% |
Yield | 2.85 | 2.97 | 96% |
Fund Existence | 18 years | 12 years | - |
IGF | NFRA | |
---|---|---|
RSI ODDS (%) | 3 days ago80% | 3 days ago69% |
Stochastic ODDS (%) | 3 days ago76% | 3 days ago75% |
Momentum ODDS (%) | N/A | 3 days ago84% |
MACD ODDS (%) | 3 days ago72% | 3 days ago68% |
TrendWeek ODDS (%) | 3 days ago78% | 3 days ago73% |
TrendMonth ODDS (%) | 3 days ago79% | 3 days ago77% |
Advances ODDS (%) | 4 days ago82% | 20 days ago78% |
Declines ODDS (%) | 25 days ago81% | N/A |
BollingerBands ODDS (%) | 3 days ago73% | 3 days ago74% |
Aroon ODDS (%) | 3 days ago80% | 3 days ago73% |
A.I.dvisor indicates that over the last year, IGF has been closely correlated with SRE. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if IGF jumps, then SRE could also see price increases.
A.I.dvisor indicates that over the last year, NFRA has been closely correlated with AWK. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if NFRA jumps, then AWK could also see price increases.
Ticker / NAME | Correlation To NFRA | 1D Price Change % | ||
---|---|---|---|---|
NFRA | 100% | -0.68% | ||
AWK - NFRA | 71% Closely correlated | +0.08% | ||
DTE - NFRA | 68% Closely correlated | -0.60% | ||
SRE - NFRA | 68% Closely correlated | -2.82% | ||
EIX - NFRA | 67% Closely correlated | -4.07% | ||
PPL - NFRA | 67% Closely correlated | -1.43% | ||
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