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Headline takeaway: Deere's technical outlook is weak with more bearish signals (3 vs 1 bullish), and its price has recently declined by 2.49%. Take a cautious approach in the near term.
Recent developments suggest mixed signals for the agricultural machinery sector and broader market:
Average (simple mean) rating score: 4.00
Weighted rating score (performance-weighted): 2.84
Rating consistency: Analysts are split, with ratings ranging from "Strong Buy" to "Neutral", and "Underperform". The overall dispersion in sentiment indicates uncertainty among experts.
These scores align with the recent price trend, which shows a 2.49% drop over the last five days. Analysts seem to be acknowledging the weak technical signals and mixed fundamentals.
Big-money investors are selling more than buying, with a block trend of negative and a large-inflow ratio of 0.490 (i.e., slightly more outflows than inflows among large investors). However, small retail investors are showing a positive trend, with 50.4% of inflow ratios positive.
This suggests that institutional investors are losing confidence while retail investors might be buying in hopes of a rebound. The fund-flow score of 7.74 (internal diagnostic score) indicates the model sees these inflows as reasonably positive, but overall sentiment is still bearish.
Deere's technical indicators are overwhelmingly bearish, with 3 out of 4 signals pointing downward:
Recent chart patterns include:
Key insights: The technical side is in a volatile and unclear state with bearish signals dominating, and the overall trend suggests caution. A technical score of 3.06 (internal diagnostic score) confirms the weak reading.
Actionable takeaway: Consider waiting for a clearer trend to emerge before initiating new positions in Deere. The stock is currently under pressure from weak fundamentals, bearish technical indicators, and divergent analyst opinions. While retail investors are showing some optimism, big money is pulling back. Watch for upcoming earnings and any signs of stabilization in cash flow or revenue growth to get a clearer read on the near-term outlook.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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