SPBC | WGMI | SPBC / WGMI | |
Gain YTD | -4.158 | -35.827 | 12% |
Net Assets | 29.3M | 114M | 26% |
Total Expense Ratio | 0.76 | 0.75 | 101% |
Turnover | 21.00 | 45.00 | 47% |
Yield | 0.99 | 0.39 | 257% |
Fund Existence | 4 years | 3 years | - |
SPBC | WGMI | |
---|---|---|
RSI ODDS (%) | 1 day ago84% | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago85% | 1 day ago90% |
Momentum ODDS (%) | 1 day ago85% | 1 day ago90% |
MACD ODDS (%) | 1 day ago81% | 1 day ago90% |
TrendWeek ODDS (%) | 1 day ago77% | 1 day ago90% |
TrendMonth ODDS (%) | 1 day ago79% | 1 day ago90% |
Advances ODDS (%) | 1 day ago84% | 1 day ago90% |
Declines ODDS (%) | 7 days ago76% | 4 days ago90% |
BollingerBands ODDS (%) | 1 day ago72% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago82% | 1 day ago90% |
A.I.dvisor indicates that over the last year, WGMI has been closely correlated with RIOT. These tickers have moved in lockstep 91% of the time. This A.I.-generated data suggests there is a high statistical probability that if WGMI jumps, then RIOT could also see price increases.
Ticker / NAME | Correlation To WGMI | 1D Price Change % | ||
---|---|---|---|---|
WGMI | 100% | +4.17% | ||
RIOT - WGMI | 91% Closely correlated | +6.37% | ||
CLSK - WGMI | 90% Closely correlated | +6.08% | ||
MARA - WGMI | 89% Closely correlated | +4.90% | ||
HIVE - WGMI | 87% Closely correlated | +4.55% | ||
WULF - WGMI | 85% Closely correlated | +3.47% | ||
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