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CSM or SCHX or SPMO
| CSM | SCHX | SPMO | |
| Gain YTD | 7.610 | 8.666 | 22.240 |
| Net Assets | 454M | 57.5B | 11B |
| Total Expense Ratio | 0.45 | 0.03 | 0.13 |
| Turnover | 57.00 | 3.00 | 72.00 |
| Yield | 1.04 | 1.15 | 0.56 |
| Fund Existence | 16 years | 16 years | 10 years |
| CSM | SCHX | SPMO | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 67% | 2 days ago 77% | 2 days ago 69% |
| Stochastic ODDS (%) | 2 days ago 75% | 2 days ago 73% | N/A |
| Momentum ODDS (%) | N/A | N/A | N/A |
| MACD ODDS (%) | 2 days ago 70% | 2 days ago 65% | 2 days ago 80% |
| TrendWeek ODDS (%) | 2 days ago 75% | 2 days ago 77% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 83% | 2 days ago 84% | 2 days ago 85% |
| Advances ODDS (%) | 10 days ago 85% | 16 days ago 84% | 2 days ago 85% |
| Declines ODDS (%) | 2 days ago 75% | 2 days ago 78% | 25 days ago 74% |
| BollingerBands ODDS (%) | 2 days ago 79% | 2 days ago 69% | N/A |
| Aroon ODDS (%) | 2 days ago 80% | 2 days ago 82% | 2 days ago 85% |
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CSM and
Correlation & Price change
A.I.dvisor indicates that over the last year, CSM has been closely correlated with PH. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if CSM jumps, then PH could also see price increases.
SCHX and
Correlation & Price change
A.I.dvisor indicates that over the last year, SCHX has been loosely correlated with AVGO. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if SCHX jumps, then AVGO could also see price increases.
| Ticker / NAME | Correlation To SCHX | 1D Price Change % | ||
|---|---|---|---|---|
| SCHX | 100% | -0.36% | ||
| AVGO - SCHX | 62% Loosely correlated | -2.95% | ||
| MSFT - SCHX | 62% Loosely correlated | +3.95% | ||
| AAPL - SCHX | 61% Loosely correlated | -0.71% | ||
| AMZN - SCHX | 59% Loosely correlated | +1.70% | ||
| META - SCHX | 58% Loosely correlated | +11.25% | ||
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SPMO and
Correlation & Price change
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with PH. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then PH could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +0.23% | ||
| PH - SPMO | 82% Closely correlated | -0.02% | ||
| ETN - SPMO | 81% Closely correlated | -1.38% | ||
| KKR - SPMO | 80% Closely correlated | -2.56% | ||
| AXP - SPMO | 79% Closely correlated | -1.35% | ||
| AMZN - SPMO | 79% Closely correlated | +1.70% | ||
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