Intraday BUY SELL Signals
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CUT vs WOOD
CUT vs WOOD Comparison
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CUT vs WOOD Comparison Chart in %
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CUT vs. WOOD commentary
Jul 14, 2026
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is CUT is a Buy and WOOD is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
WOOD has more net assets: 251M vs. CUT (30.8M). CUT has a higher annual dividend yield than WOOD: CUT (-4.740) vs WOOD (-5.062). CUT was incepted earlier than WOOD: CUT (19 years) vs WOOD (18 years). WOOD (0.40) has a lower expense ratio than CUT (0.76). WOOD has a higher turnover CUT (26.00) vs CUT (26.00).
| CUT | WOOD | CUT / WOOD | |
| Gain YTD | -4.740 | -5.062 | 94% |
| Net Assets | 30.8M | 251M | 12% |
| Total Expense Ratio | 0.76 | 0.40 | 190% |
| Turnover | 26.00 | 65.00 | 40% |
| Yield | 2.56 | 2.54 | 101% |
| Fund Existence | 19 years | 18 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| CUT | WOOD | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 4 days ago 85% | 4 days ago 85% |
| Momentum ODDS (%) | 4 days ago 85% | 4 days ago 85% |
| MACD ODDS (%) | 4 days ago 84% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 82% | 4 days ago 81% |
| TrendMonth ODDS (%) | 4 days ago 71% | 4 days ago 76% |
| Advances ODDS (%) | 4 days ago 80% | 4 days ago 81% |
| Declines ODDS (%) | 6 days ago 84% | 21 days ago 85% |
| BollingerBands ODDS (%) | 4 days ago 89% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 71% | 4 days ago 77% |
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CUT and
Correlation & Price change
A.I.dvisor tells us that CUT and LPX have been poorly correlated (+14% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CUT and LPX's prices will move in lockstep.
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WOOD and
Correlation & Price change
A.I.dvisor indicates that over the last year, WOOD has been loosely correlated with MERC. These tickers have moved in lockstep 33% of the time. This A.I.-generated data suggests there is some statistical probability that if WOOD jumps, then MERC could also see price increases.
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| Ticker / NAME | Correlation To WOOD | 1D Price Change % | ||
|---|---|---|---|---|
| WOOD | 100% | N/A | ||
| MERC - WOOD | 33% Loosely correlated | -8.90% | ||
| SLVM - WOOD | 14% Poorly correlated | +0.26% | ||
| WY - WOOD | 12% Poorly correlated | -0.17% | ||
| IP - WOOD | 10% Poorly correlated | -2.45% | ||
| CLW - WOOD | 6% Poorly correlated | -3.86% | ||
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