MNA | SPCX | MNA / SPCX | |
Gain YTD | 8.768 | 6.045 | 145% |
Net Assets | 253M | 8.78M | 2,883% |
Total Expense Ratio | 0.77 | 1.36 | 57% |
Turnover | 317.00 | 274.00 | 116% |
Yield | 0.00 | 0.66 | - |
Fund Existence | 16 years | 5 years | - |
MNA | SPCX | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago81% |
Stochastic ODDS (%) | 2 days ago51% | 2 days ago71% |
Momentum ODDS (%) | 2 days ago54% | 2 days ago56% |
MACD ODDS (%) | 2 days ago68% | 2 days ago60% |
TrendWeek ODDS (%) | 2 days ago54% | 2 days ago53% |
TrendMonth ODDS (%) | 2 days ago59% | 2 days ago55% |
Advances ODDS (%) | 4 days ago57% | 3 days ago49% |
Declines ODDS (%) | 2 days ago52% | 18 days ago76% |
BollingerBands ODDS (%) | 2 days ago53% | 2 days ago71% |
Aroon ODDS (%) | 2 days ago55% | 2 days ago62% |
A.I.dvisor tells us that MNA and CTS have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that MNA and CTS's prices will move in lockstep.
A.I.dvisor tells us that SPCX and FVNNU have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SPCX and FVNNU's prices will move in lockstep.
Ticker / NAME | Correlation To SPCX | 1D Price Change % | ||
---|---|---|---|---|
SPCX | 100% | -0.11% | ||
FVNNU - SPCX | 24% Poorly correlated | N/A | ||
HONDU - SPCX | 14% Poorly correlated | +8.33% | ||
MACI - SPCX | 12% Poorly correlated | N/A | ||
VMCAF - SPCX | 11% Poorly correlated | N/A | ||
FORL - SPCX | 5% Poorly correlated | N/A | ||
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