SPBC | WGMI | SPBC / WGMI | |
Gain YTD | 37.251 | 46.056 | 81% |
Net Assets | 35.8M | 225M | 16% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 8.00 | 74.00 | 11% |
Yield | 0.89 | 0.30 | 296% |
Fund Existence | 3 years | 3 years | - |
SPBC | WGMI | |
---|---|---|
RSI ODDS (%) | 3 days ago64% | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago68% | 3 days ago90% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago86% |
MACD ODDS (%) | 3 days ago85% | 3 days ago90% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago90% |
TrendMonth ODDS (%) | 3 days ago84% | 3 days ago90% |
Advances ODDS (%) | 7 days ago83% | 7 days ago90% |
Declines ODDS (%) | 3 days ago74% | 4 days ago90% |
BollingerBands ODDS (%) | 3 days ago68% | 3 days ago90% |
Aroon ODDS (%) | 3 days ago76% | 3 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% | +3.10% | ||
RIOT - WGMI | 91% Closely correlated | +4.26% | ||
CLSK - WGMI | 90% Closely correlated | +0.36% | ||
MARA - WGMI | 89% Closely correlated | +1.35% | ||
HIVE - WGMI | 87% Closely correlated | +2.90% | ||
WULF - WGMI | 85% Closely correlated | +3.38% | ||
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