ARB | SPCX | ARB / SPCX | |
Gain YTD | 3.813 | 1.915 | 199% |
Net Assets | 72.7M | 11.2M | 649% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 449.00 | 62.00 | 724% |
Yield | 0.00 | 2.23 | - |
Fund Existence | 4 years | 4 years | - |
ARB | SPCX | |
---|---|---|
RSI ODDS (%) | 2 days ago40% | 2 days ago37% |
Stochastic ODDS (%) | 2 days ago29% | 2 days ago73% |
Momentum ODDS (%) | 2 days ago56% | 2 days ago80% |
MACD ODDS (%) | 2 days ago47% | 2 days ago78% |
TrendWeek ODDS (%) | 2 days ago55% | 2 days ago71% |
TrendMonth ODDS (%) | 2 days ago51% | 2 days ago69% |
Advances ODDS (%) | 10 days ago52% | 4 days ago46% |
Declines ODDS (%) | 24 days ago32% | 8 days ago75% |
BollingerBands ODDS (%) | 2 days ago19% | 2 days ago45% |
Aroon ODDS (%) | 4 days ago44% | 2 days ago40% |
A.I.dvisor indicates that over the last year, ARB has been loosely correlated with FHN. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if ARB jumps, then FHN could also see price increases.
A.I.dvisor tells us that SPCX and KVACU have been poorly correlated (+17% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SPCX and KVACU's prices will move in lockstep.
Ticker / NAME | Correlation To SPCX | 1D Price Change % | ||
---|---|---|---|---|
SPCX | 100% | -0.38% | ||
KVACU - SPCX | 17% Poorly correlated | N/A | ||
HAIA - SPCX | 14% Poorly correlated | N/A | ||
TRUG - SPCX | 10% Poorly correlated | -2.65% | ||
BLEU - SPCX | 9% Poorly correlated | N/A | ||
PFTA - SPCX | 9% Poorly correlated | +1.57% | ||
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