SPBC | WGMI | SPBC / WGMI | |
Gain YTD | 44.377 | 61.333 | 72% |
Net Assets | 44.7M | 255M | 18% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 8.00 | 74.00 | 11% |
Yield | 0.89 | 0.30 | 296% |
Fund Existence | 4 years | 3 years | - |
SPBC | WGMI | |
---|---|---|
RSI ODDS (%) | 2 days ago75% | 3 days ago90% |
Stochastic ODDS (%) | 2 days ago63% | 2 days ago85% |
Momentum ODDS (%) | N/A | 2 days ago90% |
MACD ODDS (%) | 2 days ago72% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago87% | 2 days ago90% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago90% |
Advances ODDS (%) | 3 days ago83% | 20 days ago90% |
Declines ODDS (%) | 9 days ago74% | 6 days ago90% |
BollingerBands ODDS (%) | N/A | 2 days ago90% |
Aroon ODDS (%) | 2 days ago80% | 2 days 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% | -1.89% | ||
RIOT - WGMI | 91% Closely correlated | -0.43% | ||
CLSK - WGMI | 90% Closely correlated | -0.96% | ||
MARA - WGMI | 89% Closely correlated | +0.16% | ||
HIVE - WGMI | 87% Closely correlated | -2.04% | ||
WULF - WGMI | 85% Closely correlated | -0.49% | ||
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