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Weyerhaeuser (WY) is seeing a price rise (0.74%) but faces mixed analyst expectations and weak technical indicators. Investors need to weigh the strong fundamentals against the bearish chart patterns before making a move.
Analysts remain divided on Weyerhaeuser. The simple average rating is 4.00, while the performance-weighted rating is 1.21, indicating that historical performance heavily skews toward underperforming predictions. The ratings are not aligned with the recent price trend, which shows a 0.74% rise, and the market expectations are pessimistic.
On the fundamental side, Weyerhaeuser’s internal diagnostic score is 9.59, a strong indicator of financial health. Key values include:
Big-money flows are currently negative (block_trend: negative), with large investors taking a cautious stance. Retail investors, however, are showing more optimism, as Small_trend is positive. The overall inflow ratio is 48.89%, suggesting that the stock is still attracting attention, though not in overwhelming numbers.
Breakdown of inflow ratios by investor size:
The technical analysis score is 3.14, signaling a weak chart environment for Weyerhaeuser. Bearish indicators dominate, with 2 bearish vs. 0 bullish signals in the last five days. Here are the key indicators and their internal diagnostic scores:
In the last five days, WR Overbought appeared four times, while MACD Golden Cross and Marubozu White each appeared once. This pattern suggests a mixed signal, with the technical trend leaning toward weak and volatile.
Weyerhaeuser’s fundamentals remain strong, with a high internal diagnostic score of 9.59, but the technical picture is bearish. With 2 bearish indicators and an overall 3.14 technical score, it is advised to avoid entering new positions at current levels. Investors should monitor the upcoming earnings report and key economic indicators that may influence the broader lumber and construction markets.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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