SMH | WFH | SMH / WFH | |
Gain YTD | 21.105 | 6.464 | 327% |
Net Assets | 27.4B | 13.4M | 204,478% |
Total Expense Ratio | 0.35 | 0.45 | 78% |
Turnover | 15.00 | N/A | - |
Yield | 0.37 | 0.96 | 38% |
Fund Existence | 14 years | 5 years | - |
SMH | WFH | |
---|---|---|
RSI ODDS (%) | 1 day ago84% | 1 day ago83% |
Stochastic ODDS (%) | 1 day ago87% | 1 day ago82% |
Momentum ODDS (%) | 1 day ago88% | 1 day ago84% |
MACD ODDS (%) | 1 day ago90% | 1 day ago90% |
TrendWeek ODDS (%) | 1 day ago85% | 1 day ago85% |
TrendMonth ODDS (%) | 1 day ago90% | 1 day ago83% |
Advances ODDS (%) | 1 day ago90% | 1 day ago85% |
Declines ODDS (%) | 3 days ago83% | 4 days ago82% |
BollingerBands ODDS (%) | 1 day ago84% | 3 days ago88% |
Aroon ODDS (%) | 1 day ago90% | 1 day ago88% |
A.I.dvisor indicates that over the last year, SMH has been closely correlated with NVDA. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then NVDA could also see price increases.
Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
---|---|---|---|---|
SMH | 100% | +1.18% | ||
NVDA - SMH | 88% Closely correlated | -2.70% | ||
LRCX - SMH | 87% Closely correlated | +2.52% | ||
KLAC - SMH | 85% Closely correlated | +3.64% | ||
TSM - SMH | 84% Closely correlated | +3.49% | ||
AMAT - SMH | 83% Closely correlated | +2.85% | ||
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A.I.dvisor tells us that WFH and PEGA have been poorly correlated (+19% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WFH and PEGA's prices will move in lockstep.
Ticker / NAME | Correlation To WFH | 1D Price Change % | ||
---|---|---|---|---|
WFH | 100% | +1.49% | ||
PEGA - WFH | 19% Poorly correlated | +3.16% | ||
IBM - WFH | 16% Poorly correlated | +0.55% | ||
FTNT - WFH | 12% Poorly correlated | +3.13% | ||
ORCL - WFH | 11% Poorly correlated | +4.39% | ||
S - WFH | 11% Poorly correlated | +3.20% | ||
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