MNA | SPCX | MNA / SPCX | |
Gain YTD | 8.718 | 10.028 | 87% |
Net Assets | 254M | 9.05M | 2,806% |
Total Expense Ratio | 0.77 | 1.36 | 57% |
Turnover | 317.00 | 274.00 | 116% |
Yield | 0.00 | 0.65 | - |
Fund Existence | 16 years | 5 years | - |
MNA | SPCX | |
---|---|---|
RSI ODDS (%) | N/A | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago44% | 3 days ago72% |
Momentum ODDS (%) | 3 days ago55% | 3 days ago56% |
MACD ODDS (%) | 3 days ago49% | N/A |
TrendWeek ODDS (%) | 3 days ago53% | 3 days ago53% |
TrendMonth ODDS (%) | 3 days ago58% | 3 days ago55% |
Advances ODDS (%) | 13 days ago55% | 10 days ago49% |
Declines ODDS (%) | 10 days ago52% | 23 days ago77% |
BollingerBands ODDS (%) | 3 days ago38% | 3 days ago77% |
Aroon ODDS (%) | 3 days ago58% | 3 days ago58% |
A.I.dvisor indicates that over the last year, MNA has been loosely correlated with LXP. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if MNA jumps, then LXP could also see price increases.
A.I.dvisor tells us that SPCX and FVNNU have been poorly correlated (+23% 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% | +0.02% | ||
FVNNU - SPCX | 23% Poorly correlated | N/A | ||
MACI - SPCX | 13% Poorly correlated | N/A | ||
HONDU - SPCX | 12% Poorly correlated | -13.77% | ||
VACH - SPCX | 10% Poorly correlated | +0.11% | ||
VMCAF - SPCX | 9% Poorly correlated | N/A | ||
More |